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naacl_data_prog

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[ "Several recent studies have shown that strong natural language understanding (NLU) models are prone to relying on unwanted dataset biases without learning the underlying task, resulting in models that fail to generalize to out-of-domain datasets and are likely to perform poorly in real-world scenarios.", "We pro...
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[ "Multi-modal neural machine translation (NMT) aims to translate source sentences into a target language paired with images.", "However, dominant multi-modal NMT models do not fully exploit fine-grained semantic correspondences between semantic units of different modalities, which have potential to refine multi-mo...
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[ "This paper introduces the Multi-Genre Natural Language Inference (MultiNLI) corpus, a dataset designed for use in the development and evaluation of machine learning models for sentence understanding.", "At 433k examples, this resource is one of the largest corpora available for natural language inference (a.k.a....
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[ "Intelligent features in email service applications aim to increase productivity by helping people organize their folders, compose their emails and respond to pending tasks.", "In this work, we explore a new application, Smart-To-Do, that helps users with task management over emails.", "We introduce a new task ...
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[ "Semantic parsing using sequence-to-sequence models allows parsing of deeper representations compared to traditional word tagging based models.", "In spite of these advantages, widespread adoption of these models for real-time conversational use cases has been stymied by higher compute requirements and thus highe...
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[ "Rationale-Centric Framework for Human-in-the-loop Machine Learning", "{yanglinyi, zhangyue}@westlake.edu.cn Abstract", "We present a novel rationale-centric framework with human-in-the-loop R ationales-centric D ouble-robustness L earning (RDL) to boost model out-of-distribution performance in few-shot learn...
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[ "Simile interpretation is a crucial task in natural language processing.", "Nowadays, pre-trained language models (PLMs) have achieved state-of-the-art performance on many tasks.", "However, it remains under-explored whether PLMs can interpret similes or not.", "In this paper, we investigate the ability of PL...
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[ "Memory augmented encoder-decoder framework has achieved promising progress for natural language generation tasks.", "Such frameworks enable a decoder to retrieve from a memory during generation.", "However, less research has been done to take care of the memory contents from different sources, which are often ...
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[ "Emotion-cause pair extraction aims to extract all potential pairs of emotions and corresponding causes from unannotated emotion text.", "Most existing methods are pipelined framework, which identifies emotions and extracts causes separately, leading to a drawback of error propagation.", "Towards this issue, we...
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[ "Abstract", "This paper addresses the problem of dialogue reasoning with contextualized commonsense inference.", "We curate CICERO , a dataset of dyadic conversations with five types of utterance-level reasoning-based inferences: cause, subsequent event, prerequisite, motivation, and emotional reaction.", "Th...
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[ "ERASER : A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung , Sarthak Jain , Nazneen Fatema Rajani , Eric Lehman , Caiming Xiong , Richard Socher , and Byron C. Wallace Equal contribution.", "Abstract State-of-the-art models in NLP are now predominantly based on deep neural networks that are ...
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[ "We release FOOLMETWICE ( FM 2 for short), a large dataset of challenging entailment pairs collected through a fun multi-player game.", "Gamification encourages adversarial examples, drastically lowering the number of examples that can be solved using shortcuts compared to other entailment datasets.", "Players ...
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[ "When evaluating an article and the claims it makes, a critical reader must be able to assess where the information presented comes from, and whether the various claims are mutually consistent and support the conclusion.", "This motivates the study of claim provenance , which seeks to trace and explain the origin...
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[ "Recognizing lexical semantic relations between word pairs is an important task for many applications of natural language processing.", "One of the mainstream approaches to this task is to exploit the lexico-syntactic paths connecting two target words, which reflect the semantic relations of word pairs.", "Howe...
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[ "Semantic similarity detection is a fundamental task in natural language understanding.", "Adding topic information has been useful for previous feature-engineered semantic similarity models as well as neural models for other tasks.", "There is currently no standard way of combining topics with pretrained conte...
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[ "Albert Y.S. Lam Department of Computing, The Hong Kong Polytechnic University, Hong Kong S.A.R. 1 University of California, San Diego 2", "Abstract New intent discovery aims to uncover novel intent categories from user utterances to expand the set of supported intent classes.", "It is a critical task for the d...
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[ "The uniform information density (UID) hypothesis, which posits that speakers behaving optimally tend to distribute information uniformly across a linguistic signal, has gained traction in psycholinguistics as an explanation for certain syntactic, morphological, and prosodic choices.", "In this work, we explore w...
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[ "Allowing users to interact with multi-document summarizers is a promising direction towards improving and customizing summary results.", "Different ideas for interactive summarization have been proposed in previous work but these solutions are highly divergent and incomparable.", "In this paper, we develop an ...
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[ "Data filtering for machine translation (MT) describes the task of selecting a subset of a given, possibly noisy corpus with the aim to maximize the performance of an MT system trained on this selected data.", "Over the years, many different filtering approaches have been proposed.", "However, varying task defi...
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[ "Neural machine translation systems have become state-of-the-art approaches for Grammatical Error Correction (GEC) task.", "In this paper, we propose a copy-augmented architecture for the GEC task by copying the unchanged words from the source sentence to the target sentence.", "Since the GEC suffers from not h...
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[ "Most current neural machine translation models adopt a monotonic decoding order of either left-to-right or right-to-left.", "In this work, we propose a novel method that breaks up the limitation of these decoding orders, called Smart-Start decoding.", "More specifically, our method first predicts a median word...
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[ "Training data for text classification is often limited in practice, especially for applications with many output classes or involving many related classification problems.", "This means classifiers must generalize from limited evidence, but the manner and extent of generalization is task dependent.", "Current ...
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[ "Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency School of Computer Science, Carnegie Mellon University { pliang,yaochonl,yaohungt,rsalakhu,morency } @cs.cmu.edu", "Abstract Human language is a rich multimodal signal consisting of spoken words, facial expressions, body gestures, and vocal inton...
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[ "Previous literatures show that pre-trained masked language models (MLMs) such as BERT can achieve competitive factual knowledge extraction performance on some datasets, indicating that MLMs can potentially be a reliable knowledge source.", "In this paper, we conduct a rigorous study to explore the underlying pre...
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[ "rgangad@amazon.com", "Balakrishnan Narayanaswamy AWS AI, Amazon", "Abstract", "Neural network models have recently gained traction for sentence-level intent classification and token-based slot-label identification.", "In many real-world scenarios, users have multiple intents in the same utterance, and a to...
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[ "Neural Chat Translation (NCT) aims to translate conversational text into different languages.", "Existing methods mainly focus on modeling the bilingual dialogue characteristics ( e.g. , coherence) to improve chat translation via multi-task learning on small-scale chat translation data.", "Although the NCT mod...
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[ "We present OPINIONDIGEST , an abstractive opinion summarization framework, which does not rely on gold-standard summaries for training.", "The framework uses an Aspect-based Sentiment Analysis model to extract opinion phrases from reviews, and trains a Transformer model to reconstruct the original reviews from t...
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[ "This paper provides a new way to improve the efficiency of the REINFORCE training process.", "We apply it to the task of instance selection in distant supervision.", "Modeling the instance selection in one bag as a sequential decision process, a reinforcement learning agent is trained to determine whether an i...
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[ "Pretrained masked language models (MLMs) require finetuning for most NLP tasks.", "Instead, we evaluate MLMs out of the box via their pseudo-log-likelihood scores (PLLs), which are computed by masking tokens one by one.", "We show that PLLs outperform scores from autoregressive language models like GPT-2 in a ...
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[ "The success of language models based on the Transformer architecture appears to be inconsistent with observed anisotropic properties of representations learned by such models.", "We resolve this by showing, contrary to previous studies, that the representations do not occupy a narrow cone, but rather drift in co...
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[ "Modern summarization models generate highly fluent but often factually unreliable outputs.", "This motivated a surge of metrics attempting to measure the factuality of automatically generated summaries.", "Due to the lack of common benchmarks, these metrics cannot be compared.", "Moreover, all these methods ...
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[ "Natural language inference (NLI) is the task of determining whether a piece of text is entailed, contradicted by or unrelated to another piece of text.", "In this paper, we investigate how to tease systematic inferences (i.e., items for which people agree on the NLI label) apart from disagreement items (i.e., it...
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[ "Knowledge bases often consist of facts which are harvested from a variety of sources, many of which are noisy and some of which con-flict, resulting in a level of uncertainty for each triple.", "Knowledge bases are also often incomplete, prompting the use of embedding methods to generalize from known facts, howe...
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[ "One key ingredient of neural machine translation is the use of large datasets from different domains and resources (e.g. Europarl, TED talks).", "These datasets contain documents translated by professional translators using different but consistent translation styles.", "Despite that, the model is usually trai...
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[ "It is very critical to analyze messages shared over social networks for cyber threat intelligence and cyber-crime prevention.", "In this study, we propose a method that leverages both domain-specific word embeddings and task-specific features to detect cyber security events from tweets.", "Our model employs a ...
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[ "This paper presents Pyramid , a novel layered model for Nested Named Entity Recognition (nested NER).", "In our approach, token or text region embeddings are recursively inputted into L flat NER layers, from bottom to top, stacked in a pyramid shape.", "Each time an embedding passes through a layer of the pyra...
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[ "Abstract As more and more product reviews are posted in both text and images, Multimodal Review Analysis (MRA) becomes an attractive research topic.", "Among the existing review analysis tasks, helpfulness prediction on review text has become predominant due to its importance for e-commerce platforms and online ...
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[ "Although neural machine translation (NMT) has achieved significant progress in recent years, most previous NMT models only depend on the source text to generate translation.", "Inspired by the success of template-based and syntax-based approaches in other fields, we propose to use extracted templates from tree s...
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[ "We propose PIGLeT : a model that learns physical commonsense knowledge through interaction, and then uses this knowledge to ground language.", "We factorize PIGLeT into a physical dynamics model, and a separate language model.", "Our dynamics model learns not just what objects are but also what they do : glass...
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[ "Transfer learning approaches for Neural Machine Translation (NMT) trains a NMT model on an assisting language-target language pair (parent model) which is later fine-tuned for the source language-target language pair of interest (child model), with the target language being the same.", "In many cases, the assist...
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[ "With advances in neural language models, the focus of linguistic steganography has shifted from edit-based approaches to generation-based ones.", "While the latter's payload capacity is impressive, generating genuine-looking texts remains challenging.", "In this paper, we revisit edit-based linguistic steganog...
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[ "The main goal of machine translation has been to convey the correct content.", "Stylistic considerations have been at best secondary.", "We show that as a consequence, the output of three commercial machine translation systems (Bing, DeepL, Google) make demographically diverse samples from five languages sound...
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[ "Adapter-based tuning has recently arisen as an alternative to fine-tuning.", "It works by adding light-weight adapter modules to a pretrained language model (PrLM) and only updating the parameters of adapter modules when learning on a downstream task.", "As such, it adds only a few trainable parameters per new...
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[ "Abstract", "Compared to the general news domain, information extraction (IE) from biomedical text requires much broader domain knowledge.", "However, many previous IE methods do not utilize any external knowledge during inference.", "Due to the exponential growth of biomedical publications, models that do no...
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[ "We demonstrate that current state-of-the-art approaches to Automated Essay Scoring (AES) are not well-suited to capturing adversarially crafted input of grammatical but incoherent sequences of sentences.", "We develop a neural model of local coherence that can effectively learn connectedness features between sen...
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[ "How can we measure whether a natural language generation system produces both high quality and diverse outputs?", "Human evaluation captures quality but not diversity, as it does not catch models that simply plagiarize from the training set.", "On the other hand, statistical evaluation (i.e., perplexity) captu...
[ "method", "abstain", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "method", "abstain", "abstain", "abstain", "abs...
[ "Controllable summarization aims to provide summaries that take into account user-specified aspects and preferences to better assist them with their information need, as opposed to the standard summarization setup which build a single generic summary of a document.", "We introduce a human-annotated data set (ENTS...
[ "abstain", "method", "objective", "objective", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "objective", "objective", "other", "other",...
[ "Non-Parametric Few-Shot Learning for Word Sense Disambiguation Howard Chen, Mengzhou Xia, Danqi Chen Princeton University {howardchen, mengzhou, danqic}@cs.princeton.edu Abstract Word sense disambiguation (WSD) is a longstanding problem in natural language processing.", "One significant challenge in supervised a...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "absta...
[ "Deep neural models have repeatedly proved excellent at memorizing surface patterns from large datasets for various ML and NLP benchmarks.", "They struggle to achieve human-like thinking, however, because they lack the skill of iterative reasoning upon knowledge.", "To expose this problem in a new light, we int...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "ab...
[ "Unlike English letters, Chinese characters have rich and specific meanings.", "Usually, the meaning of a word can be derived from its constituent characters in some way.", "Several previous works on syntactic parsing propose to annotate shallow word-internal structures for better utilizing character-level info...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "result", "objective", "method", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "...
[ "In this work, we present a detailed analysis of how accent information is reflected in the internal representation of speech in an end-to-end automatic speech recognition (ASR) system.", "We use a state-of-the-art end-to-end ASR system, comprising convolutional and recurrent layers, that is trained on a large am...
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[ "Keyphrases, that concisely summarize the high-level topics discussed in a document, can be categorized into present keyphrase which explicitly appears in the source text, and absent keyphrase which does not match any contiguous subsequence but is highly semantically related to the source.", "Most existing keyphr...
[ "abstain", "abstain", "objective", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective"...
[ "Variational autoencoders (VAEs) with an autoregressive decoder have been applied for many natural language processing (NLP) tasks.", "The VAE objective consists of two terms, ( i ) reconstruction and ( ii ) KL regularization, balanced by a weighting hyper-parameter \u0000 .", "One notorious training difficulty...
[ "abstain", "abstain", "abstain", "result", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "a...
[ "The lack of publicly available evaluation data for low-resource languages limits progress in Spoken Language Understanding (SLU).", "As key tasks like intent classification and slot filling require abundant training data, it is desirable to reuse existing data in high-resource languages to develop models for low...
[ "abstain", "abstain", "objective", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "other", "objective", "abstain", "abstain", "abstain", "objective", "objective", "objective", "method", "objective", "other", "objective", "abstain", "othe...
[ "Existing works on information extraction (IE) have mainly solved the four main tasks separately (entity mention recognition, relation extraction, event trigger detection, and argument extraction), thus failing to benefit from inter-dependencies between tasks.", "This paper presents a novel deep learning model to...
[ "abstain", "objective", "abstain", "objective", "objective", "abstain", "objective", "abstain", "method", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "other", "abstain", "objective", "abstain", "abstain", "abstain", "result", "a...
[ "Question answering ( QA ) systems for large document collections typically use pipelines that", "(i) retrieve possibly relevant documents,", "(ii) re-rank them,", "(iii) rank paragraphs or other snippets of the top-ranked documents, and", "(iv) select spans of the top-ranked snippets as exact answers.", ...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "objective", "method", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstai...
[ "Decipherment of historical ciphers is a challenging problem.", "The language of the target plaintext might be unknown, and ciphertext can have a lot of noise.", "State-of-the-art decipherment methods use beam search and a neural language model to score candidate plaintext hypotheses for a given cipher, assumin...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "method", "objective", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstai...
[ "The masked language model has received remarkable attention due to its effectiveness on various natural language processing tasks.", "However, few works have adopted this technique in the sequence-to-sequence models.", "In this work, we introduce a jointly masked sequence-to-sequence model and explore its appl...
[ "abstain", "abstain", "objective", "objective", "objective", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "abstain", "objective", "abstain", "result", ...
[ "The advent of context-aware NMT has resulted in promising improvements in the overall translation quality and specifically in the translation of discourse phenomena such as pronouns.", "Previous works have mainly focused on the use of past sentences as context with a focus on anaphora translation.", "In this w...
[ "abstain", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "result", "abstain", "method", "objective", "result", "other", "other", "other", "other", "other", "other", ...
[ "The cross-lingual language models are typically pretrained with masked language modeling on multilingual text or parallel sentences.", "In this paper, we introduce denoising word alignment as a new cross-lingual pre-training task.", "Specifically, the model first self-labels word alignments for parallel senten...
[ "abstain", "objective", "abstain", "abstain", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "abstain", "method", "abstain", "meth...
[ "Most studies on abstractive summarization report ROUGE scores between system and reference summaries.", "However, we have a concern about the truthfulness of generated summaries: whether all facts of a generated summary are mentioned in the source text.", "This paper explores improving the truthfulness in head...
[ "abstain", "method", "objective", "result", "method", "method", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "meth...
[ "Sequence-to-sequence models for open-domain dialogue generation tend to favor generic, uninformative responses.", "Past work has focused on word frequency-based approaches to improving specificity, such as penalizing responses with only common words.", "In this work, we examine whether specificity is solely a ...
[ "abstain", "abstain", "result", "result", "method", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "method", "abstain", "abstain", "result", "abstain", "method", "result", "abstain", "abstain", "abstain", "objective", "abstain", ...
[ "Most of recent work in cross-lingual word embeddings is severely Anglocentric.", "The vast majority of lexicon induction evaluation dictionaries are between English and another language, and the English embedding space is selected by default as the hub when learning in a multilingual setting.", "With this work...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "result", "abstain", "result", "abstain", "abstain", "ab...
[ "2 State Key Laboratory of Computer Sciences, Institute of Software, Chinese Academy of Sciences 3 University of Chinese Academy of Sciences, Beijing, China", "Abstract In this paper, we focus on the problem of keyword and document matching by considering different relevance levels.", "In our recommen003 dation...
[ "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", "method", "method", "objective", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "method...
[ "Adversarial attacks are a major challenge faced by current machine learning research.", "These purposely crafted inputs fool even the most advanced models, precluding their deployment in safety-critical applications.", "Extensive research in computer vision has been carried to develop reliable defense strategi...
[ "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "abstain", "result", "abstain", "method", "abstain", "other", "other", "other", "other", "...
[ "Structural heterogeneity between knowledge graphs is an outstanding challenge for entity alignment.", "This paper presents Neighborhood Matching Network (NMN), a novel entity alignment framework for tackling the structural heterogeneity challenge.", "NMN estimates the similarities between entities to capture b...
[ "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "ab...
[ "We present a new summarization task, generating summaries of novel chapters using sum-mary/chapter pairs from online study guides.", "This is a harder task than the news summarization task, given the chapter length as well as the extreme paraphrasing and generalization found in the summaries.", "We focus on ex...
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[ "People vary in their ability to make accurate predictions about the future.", "Prior studies have shown that some individuals can predict the outcome of future events with consistently better accuracy.", "This leads to a natural question: what makes some forecasters better than others?", "In this paper we ex...
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[ "The ability to sequence unordered events is evidence of comprehension and reasoning about real world tasks/procedures.", "It is essential for applications such as task planning and multi-source instruction summarization.", "It often requires thorough understanding of temporal common sense and multimodal inform...
[ "abstain", "abstain", "abstain", "abstain", "method", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstai...
[ "Aspect-based sentiment analysis (ABSA) involves three subtasks, i.e., aspect term extraction, opinion term extraction, and aspect-level sentiment classification.", "Most existing studies focused on one of these subtasks only.", "Several recent researches made successful attempts to solve the complete ABSA prob...
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[ "Abstract In this paper, we propose an effective deep learning framework for inducing courteous behavior in customer care responses.", "The interaction between a customer and the customer care representative contributes substantially to the overall customer experience.", "Thus, it is imperative for customer car...
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[ "Open-domain dialogue generation has gained increasing attention in Natural Language Processing.", "Its evaluation requires a holistic means.", "Human ratings are deemed as the gold standard.", "As human evaluation is inefficient and costly, an automated substitute is highly desirable.", "In this paper, we ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", ...
[ "Recent studies in deep learning have shown significant progress in named entity recognition (NER).", "Most existing works assume clean data annotation, yet a fundamental challenge in real-world scenarios is the large amount of noise from a variety of sources (e.g., pseudo, weak, or distant annotations).", "Thi...
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[ "Obtaining human-like performance in NLP is often argued to require compositional generalisation.", "Whether neural networks exhibit this ability is usually studied by training models on highly compositional synthetic data.", "However, compositionality in natural language is much more complex than the rigid, ar...
[ "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "absta...
[ "Hierarchical Text Classification (HTC) is a challenging task that categorizes a textual description within a taxonomic hierarchy.", "Most of the existing methods focus on modeling the text.", "Recently, researchers attempt to model the class representations with some resources (e.g., external dictionaries).", ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abst...
[ "Exact structured inference with neural network scoring functions is computationally challenging but several methods have been proposed for approximating inference.", "One approach is to perform gradient descent with respect to the output structure directly (Belanger and McCallum, 2016).", "Another approach, pr...
[ "abstain", "abstain", "abstain", "method", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "method", "method", "method", "objective", "abstain", "abstain", "abstain...
[ "Recent studies have shown that language models pretrained and/or fine-tuned on randomly permuted sentences exhibit competitive performance on GLUE, putting into question the importance of word order information.", "Somewhat counter-intuitively, some of these studies also report that position embeddings appear to...
[ "abstain", "abstain", "objective", "result", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain...
[ "Massively Multilingual Transformer based Language Models have been observed to be surprisingly effective on zero-shot transfer across languages, though the performance varies from language to language depending on the pivot", "language(s) used for fine-tuning.", "In this work, we build upon some of the existin...
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[ "We introduce a novel top-down end-to-end formulation of document level discourse parsing in the Rhetorical Structure Theory (RST) framework.", "In this formulation, we consider discourse parsing as a sequence of splitting decisions at token boundaries and use a seq2seq network to model the splitting decisions.",...
[ "objective", "method", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "The prevalent way to estimate the similarity of two documents based on word embeddings is to apply the cosine similarity measure to the two centroids obtained from the embedding vectors associated with the words in each document.", "Motivated by an industrial application from the domain of youth marketing, where...
[ "abstain", "objective", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "other", "objective", "result", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other"...
[ "We propose Differentiable Window, a new neural module and general purpose component for dynamic window selection.", "While universally applicable, we demonstrate a compelling use case of utilizing Differentiable Window to improve standard attention modules by enabling more focused attentions over the input regio...
[ "objective", "objective", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "objective", "objective", "result", "objective", "abstain", "objective", "abstain", "abstain", "objective",...
[ "The robustness and security of natural language processing (NLP) models are significantly important in real-world applications.", "In the context of text classification tasks, adversarial examples can be designed by substituting words with synonyms under certain semantic and syntactic constraints, such that a we...
[ "abstain", "abstain", "abstain", "objective", "objective", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "ab...
[ "Implicit knowledge, such as common sense, is key to fluid human conversations.", "Current neural response generation (RG) models are trained to generate responses directly, omitting unstated implicit knowledge.", "In this paper, we present Think-Before-Speaking (TBS), a generative approach to first externalize...
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[ "Back-translation is a critical component of Unsupervised Neural Machine Translation (UNMT), which generates pseudo parallel data from target monolingual data.", "A UNMT model is trained on the pseudo parallel data with translated source , and translates natural source sentences in inference.", "The source disc...
[ "abstain", "abstain", "abstain", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "result", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "method", "a...
[ "Natural language spatial video grounding aims to detect the relevant objects in video frames with descriptive sentences as the query.", "In spite of the great advances, most existing methods rely on dense video frame annotations, which require a tremendous amount of human effort.", "To achieve effective ground...
[ "abstain", "abstain", "objective", "abstain", "abstain", "method", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain...
[ "We present a method for generating comparative summaries that highlights similarities and contradictions in input documents.", "The key challenge in creating such summaries is the lack of large parallel training data required for training typical summarization systems.", "To this end, we introduce a hybrid gen...
[ "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "method", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "objective", "result", "method", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Insufficient or even unavailable training data of emerging classes is a big challenge of many classification tasks, including text classification.", "Recognising text documents of classes that have never been seen in the learning stage, so-called zero-shot text classification , is therefore difficult and only li...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "objective", "abstain", "abstain", "abstain", ...
[ "A core part of linguistic typology is the clas-sification of languages according to linguistic properties, such as those detailed in the World Atlas of Language Structure (WALS).", "Doing this manually is prohibitively time-consuming, which is in part evidenced by the fact that only 100 out of over 7,000 languag...
[ "abstain", "abstain", "method", "method", "abstain", "result", "abstain", "method", "abstain", "other", "abstain", "abstain", "abstain", "method", "method", "method", "objective", "abstain", "abstain", "other", "method", "other", "other", "other", "abstain", "other"...
[ "Phonemes are defined by their relationship to words: changing a phoneme changes the word.", "Learning a phoneme inventory with lit-tle supervision has been a longstanding challenge with important applications to underresourced speech technology.", "In this paper, we bridge the gap between the linguistic and st...
[ "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "objective", "objective",...
[ "Context-aware machine translation models are designed to leverage contextual information, but often fail to do so.", "As a result, they inaccurately disambiguate pronouns and polysemous words that require context for resolution.", "In this paper, we ask several questions: What contexts do human translators use...
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[ "Distant supervision (DS) is an important paradigm for automatically extracting relations.", "It utilizes existing knowledge base to collect examples for the relation we intend to extract, and then uses these examples to automatically generate the training data.", "However, the examples collected can be very no...
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[ "Machine translation (MT) is currently evaluated in one of two ways: in a monolingual fashion, by comparison with the system output to one or more human reference translations, or in a trained crosslingual fashion, by building a supervised model to predict quality scores from human-labeled data.", "In this paper,...
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[ "We investigate the use of NLP as a measure of the cognitive processes involved in storytelling, contrasting imagination and recollection of events.", "To facilitate this, we collect and release HIPPOCORPUS , a dataset of 7,000 stories about imagined and recalled events.", "We introduce a measure of narrative f...
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[ "Abstract Graph-based semantic parsing aims to represent textual meaning through directed graphs.", "As one of the most promising general-purpose meaning representations, these structures and their parsing have gained a significant interest momentum during recent years, with several diverse formalisms being propo...
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[ "Multimodal summarization becomes increasingly significant as it is the basis for question answering, Web search, and many other downstream tasks.", "However, its learning materials have been lacking a holistic organization by integrating resources from various modalities, thereby lagging behind the research prog...
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[ "The Minecraft Collaborative Building Task is a two-player game in which an Architect A instructs a Builder B to construct a target structure out of 3D blocks.", "We consider the task of predicting B 's action sequences (block placements and removals) in a given game context, and show that capturing B 's past act...
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[ "Multi-intent SLU can handle multiple intents in an utterance, which has attracted increasing attention.", "However, the state-of-the-art joint models heavily rely on autoregressive approaches, resulting in two issues: slow inference speed and information leakage .", "In this paper, we explore a non-autoregress...
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[ "In this paper, we present a substantial step in better understanding the SOTA sequence-to-sequence (Seq2Seq) pretraining for neural machine translation (NMT).", "We focus on studying the impact of the jointly pretrained decoder, which is the main difference between Seq2Seq pretraining and previous encoder-based ...
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[ "Building NLP systems that serve everyone requires accounting for dialect differences.", "But dialects are not monolithic entities: rather, distinctions between and within dialects are captured by the presence, absence, and frequency of dozens of dialect features in speech and text, such as the deletion of the co...
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[ "Generative dialogue systems tend to produce generic responses, which often leads to boring conversations.", "For alleviating this issue, Recent studies proposed to retrieve and introduce knowledge facts from knowledge graphs.", "While this paradigm works to a certain extent, it usually retrieves knowledge fact...
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