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naacl_data_prog

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[ "Recent work on non-autoregressive neural machine translation (NAT) aims at improving the efficiency by parallel decoding without sac-rificing the quality.", "However, existing NAT methods are either inferior to Transformer or require multiple decoding passes, leading to reduced speedup.", "We propose the Glanc...
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[ "Selecting input features of top relevance has become a popular method for building self-explaining models.", "In this work, we extend this selective rationalization approach to text matching, where the goal is to jointly select and align text pieces, such as tokens or sentences, as a justification for the downst...
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[ "We propose knowledge internalization (KI), which aims to complement the lexical knowledge into neural dialog models.", "Instead of further conditioning the knowledge-grounded dialog (KGD) models on externally retrieved knowledge, we seek to integrate knowledge about each input token internally into the model's p...
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[ "In zero-shot multilingual extractive text summarization, a model is typically trained on English summarization dataset and then applied on summarization datasets of other languages.", "Given English gold summaries and documents, sentence-level labels for extractive summarization are usually generated using heuri...
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[ "Recent studies have revealed that reading comprehension (RC) systems learn to exploit annotation artifacts and other biases in current datasets.", "This prevents the community from reliably measuring the progress of RC systems.", "To address this issue, we introduce R 4 C , a new task for evaluating RC systems...
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[ "TACRED (Zhang et al., 2017) is one of the largest, most widely used crowdsourced datasets in Relation Extraction (RE).", "But, even with recent advances in unsupervised pretraining and knowledge enhanced neural RE, models still show a high error rate.", "In this paper, we investigate the questions: Have we rea...
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[ "Despite the widespread success of self-supervised learning via masked language models (MLM), accurately capturing fine-grained semantic relationships in the biomedical domain remains a challenge.", "This is of paramount importance for entity-level tasks such as entity linking where the ability to model entity re...
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[ "This paper describes and tests a method for carrying out quantified reproducibility assessment (QRA) that is based on concepts and definitions from metrology.", "QRA produces a single score estimating the degree of reproducibility of a given system and evaluation measure, on the basis of the scores from, and dif...
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[ "Success of deep learning techniques have renewed the interest in development of dialogue systems.", "However, current systems struggle to have consistent long term conversations with the users and fail to build rapport.", "Topic spotting, the task of automatically inferring the topic of a conversation, has bee...
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[ "In the principles-and-parameters framework, the structural features of languages depend on parameters that may be toggled on or off, with a single parameter often dictating the status of multiple features.", "The implied covariance between features inspires our probabilisation of this line of linguistic inquiry ...
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[ "One key consequence of the information revolution is a significant increase and a contamination of our information supply.", "The practice of fact-checking won't suffice to eliminate the biases in text data we observe, as the degree of factuality alone does not determine whether biases exist in the spectrum of o...
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[ "This work presents methods for learning crosslingual sentence representations using paired or unpaired bilingual texts.", "We hypothesize that the cross-lingual alignment strategy is transferable, and therefore a model trained to align only two languages can encode multilingually more aligned representations.", ...
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[ "This paper proposes Dynamic Memory Induction Networks (DMIN) for few-shot text classification.", "The model utilizes dynamic routing to provide more flexibility to memory-based few-shot learning in order to better adapt the support sets, which is a critical capacity of few-shot classification models.", "Based ...
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[ "Incorporating domain knowledge is vital in building successful natural language processing (NLP) applications.", "Many times, cross-domain application of a tool results in poor performance as the tool does not account for domain-specific attributes.", "The clinical domain is challenging in this aspect due to s...
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[ "Authorship attribution aims to identify the author of a text based on the stylometric analysis.", "Authorship obfuscation , on the other hand, aims to protect against authorship attribution by modifying a text's style.", "In this paper, we evaluate the stealthiness of state-of-the-art authorship obfuscation me...
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[ "Computing precise evidences , namely minimal sets of sentences that support or refute a given claim, rather than larger evidences is crucial in fact verification (FV), since larger evidences may contain conflicting pieces some of which support the claim while the other refute, thereby misleading FV.", "Despite b...
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[ "Recently, there has been much interest in the question of whether deep natural language understanding models exhibit systematicity generalizing such that units like words make consistent contributions to the meaning of the sentences in which they appear.", "There is accumulating evidence that neural models ofte...
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[ "We propose a generative model for a sentence that uses two latent variables, with one intended to represent the syntax of the sentence and the other to represent its semantics.", "We show we can achieve better disentanglement between semantic and syntactic representations by training with multiple losses, includ...
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[ "Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).", "In this paper, we construct an auxiliary sentence from the aspect and convert ABSA to a sentence-pair classification task, such as questi...
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[ "There is content such as hate speech, offensive, toxic or aggressive documents, which are perceived differently by their consumers.", "They are commonly identified using classifiers solely based on textual content that generalize pre-agreed meanings of difficult problems.", "Such models provide the same result...
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[ "Multi-label emotion classification is an important task in NLP and is essential to many applications.", "In this work, we propose a sequence-to-emotion (Seq2Emo) approach, which implicitly models emotion correlations in a bi-directional decoder.", "Experiments on SemEval'18 and GoEmotions datasets show that ou...
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[ "Conversational KBQA is about answering a sequence of questions related to a KB.", "Follow-up questions in conversational KBQA often have missing information referring to entities from the conversation history.", "In this paper, we propose to model these implied entities, which we refer to as the focal entities...
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[ "Emotion lexicons describe the affective meaning of words and thus constitute a centerpiece for advanced sentiment and emotion analysis.", "Yet, manually curated lexicons are only available for a handful of languages, leaving most languages of the world without such a precious resource for downstream applications...
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[ "Abstract Opinion summarization is the task of automatically creating summaries that reflect subjective information expressed in multiple documents, such as product reviews.", "While the majority of previous work has focused on the extractive setting, i.e., selecting fragments from input reviews to produce a summ...
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[ "Understanding and executing natural language instructions in a grounded domain is one of the hallmarks of artificial intelligence.", "In this paper, we focus on instruction understanding in the blocks world domain and investigate the language understanding abilities of two top-performing systems for the task.", ...
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[ "As an essential task in task-oriented dialog systems, slot filling requires extensive training data in a certain domain.", "However, such data are not always available.", "Hence, cross-domain slot filling has naturally arisen to cope with this data scarcity problem.", "In this paper, we propose a Coa rse-to-...
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[ "Despite the recent popularity of word embedding methods, there is only a small body of work exploring the limitations of these representations.", "In this paper, we consider one aspect of embedding spaces, namely their stability.", "We show that even relatively high frequency words (100-200 occurrences) are of...
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[ "Data sharing restrictions are common in NLP, especially in the clinical domain, but there is limited research on adapting models to new domains without access to the original training data, a setting known as source-free domain adaptation.", "We take algorithms that traditionally assume access to the source-doma...
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[ "We propose NeuralWOZ, a novel dialogue collection framework that uses model-based dialogue simulation.", "NeuralWOZ has two pipelined models, Collector and Labeler.", "Collector generates dialogues from (1) user's goal instructions, which are the user context and task constraints in natural language, and (2) s...
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[ "Machine reading comprehension is a challenging task especially for querying documents with deep and interconnected contexts.", "Transformer-based methods have shown advanced performances on this task; however, most of them still treat documents as a flat sequence of tokens.", "This work proposes a new Transfor...
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[ "Fully supervised neural approaches have achieved significant progress in the task of Chinese word segmentation (CWS).", "Nevertheless, the performance of supervised models tends to drop dramatically when they are applied to out-of-domain data.", "Performance degradation is caused by the distribution gap across...
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[ "We often use perturbations to regularize neural models.", "For neural encoder-decoders, previous studies applied the scheduled sampling (Bengio et al., 2015) and adversarial perturbations (Sato et al., 2019) as perturbations but these methods require considerable computational time.", "Thus, this study address...
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[ "Training data for sentiment analysis are abundant in multiple domains, yet scarce for other domains.", "It is useful to leveraging data available for all existing domains to enhance performance on different domains.", "We investigate this problem by learning domain-specific representations of input sentences u...
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[ "The input vocabulary and their learned representations are crucial to the performance of neural NLP models.", "Using the full vocabulary results in less explainable and more memory intensive models, with the embedding layer often constituting the majority of model parameters.", "It is thus common to use a smal...
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[ "We propose a straightforward vocabulary adaptation scheme to extend the language capacity of multilingual machine translation models, paving the way towards efficient continual learning for multilingual machine translation.", "Our approach is suitable for large-scale datasets, applies to distant languages with u...
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[ "Recent work has questioned the importance of the Transformer's multi-headed attention for achieving high translation quality.", "We push further in this direction by developing a hard-coded attention variant without any learned parameters.", "Surprisingly, replacing all learned self-attention heads in the enco...
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[ "Recurrent neural networks (RNNs) have achieved impressive results in a variety of linguistic processing tasks, suggesting that they can induce non-trivial properties of language.", "We investigate here to what extent RNNs learn to track abstract hierarchical syntactic structure.", "We test whether RNNs trained...
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[ "We introduce dodeca Dialogue: a set of 12 tasks that measures if a conversational agent can communicate engagingly with personality and empathy, ask questions, answer questions by utilizing knowledge resources, discuss topics and situations, and perceive and converse about images.", "By multi-tasking on such a b...
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[ "Most neural machine translation models only rely on pairs of parallel sentences, assuming syntactic information is automatically learned by an attention mechanism.", "In this work, we investigate different approaches to incorporate syntactic knowledge in the Transformer model and also propose a novel, parameter-...
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[ "In this paper, we present an adaptive convolution for text classification to give stronger flexibility to convolutional neural networks (CNNs).", "Unlike traditional convolutions that use the same set of filters regardless of different inputs, the adaptive convolution employs adaptively generated convolutional f...
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[ "The performance of fine-tuning pre-trained language models largely depends on the hyperparameter configuration.", "In this paper, we investigate the performance of modern hyperparameter optimization methods (HPO) on fine-tuning pre-trained language models.", "First, we study and report three HPO algorithms' pe...
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[ "Many state-of-the-art (SOTA) language models have achieved high accuracy on several multi-hop reasoning problems.", "However, these approaches tend to not be interpretable because they do not make the intermediate reasoning steps explicit.", "Moreover, models trained on simpler tasks tend to fail when directly...
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[ "The problem of answering questions using knowledge from pre-trained language models (LMs) and knowledge graphs (KGs) presents two challenges: given a QA context (question and answer choice), methods need to", "(i) identify relevant knowledge from large KGs, and", "(ii) perform joint reasoning over the QA conte...
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[ "Generating factual, long-form text such as Wikipedia articles raises three key challenges: how to gather relevant evidence, how to structure information into well-formed text, and how to ensure that the generated text is factually correct.", "We address these by developing a model for English text that uses a re...
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[ "The learning trajectories of linguistic phenomena in humans provide insight into linguistic representation, beyond what can be gleaned from inspecting the behavior of an adult speaker.", "To apply a similar approach to analyze neural language models (NLM), it is first necessary to establish that different models...
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[ "Tangled multi-party dialogue contexts lead to challenges for dialogue reading comprehension, where multiple dialogue threads flow simultaneously within a common dialogue record, increasing difficulties in understanding the dialogue history for both human and machine.", "Previous studies mainly focus on utterance...
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[ "Knowledge bases (KBs) and text often contain complementary knowledge: KBs store structured knowledge that can support long-range reasoning, while text stores more comprehensive and timely knowledge in an unstructured way.", "Separately embedding the individual knowledge sources into vector spaces has demonstrate...
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[ "Abstract", "We present a graph-based Tree Adjoining Grammar (TAG) parser that uses BiLSTMs, highway connections, and character-level CNNs.", "Our best end-to-end parser, which jointly performs supertagging, POS tagging, and parsing, outperforms the previously reported best results by more than 2.2 LAS and UAS ...
[ "abstain", "method", "result", "abstain", "objective", "abstain", "other", "abstain", "abstain", "abstain", "method", "abstain", "method", "abstain", "result", "abstain", "objective", "method", "objective", "abstain", "method", "abstain", "objective", "method", "absta...
[ "Defining action spaces for conversational agents and optimizing their decision-making process with reinforcement learning is an enduring challenge.", "Common practice has been to use handcrafted dialog acts, or the output vocabulary, e.g. in neural encoder decoders, as the action spaces.", "Both have their own...
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[ "Fernando Alva-Manchego and Louis Martin and Antoine Bordes Carolina Scarton 1 and Benot Sagot 2 and Lucia Specia 1 , 4 1 University of Sheffield, 2 Inria, 3 Facebook AI Research, 4 Imperial College London f.alva@sheffield.ac.uk, louismartin@fb.com, abordes@fb.com c.scarton@sheffield.ac.uk, benoit.sagot@inria.fr l....
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[ "Reasoning is a crucial part of natural language argumentation.", "To comprehend an argument, one must analyze its warrant , which explains why its claim follows from its premises.", "As arguments are highly contextualized, warrants are usually presupposed and left implicit.", "Thus, the comprehension does no...
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[ "Recent works on Lottery Ticket Hypothesis have shown that pre-trained language models (PLMs) contain smaller matching subnetworks (winning tickets) which are capable of reaching accuracy comparable to the original models.", "However, these tickets are proved to be not robust to adversarial examples, and even wor...
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[ "There exist biases in individual's language use; the same word ( e.g. , cool ) is used for expressing different meanings ( e.g. , temperature range ) or different words ( e.g. , cloudy , hazy ) are used for describing the same meaning.", "In this study, we propose a method of modeling such personal biases in wor...
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[ "A central quest of probing is to uncover how pre-trained models encode a linguistic property within their representations.", "An encoding, however, might be spuriousi.e., the model might not rely on it when making predictions.", "In this paper, we try to find an encoding that the model actually uses, introduci...
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[ "There has been much recent work on training neural attention models at the sequence-level using either reinforcement learning-style methods or by optimizing the beam.", "In this paper, we survey a range of classical objective functions that have been widely used to train linear models for structured prediction a...
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[ "Personalized news recommendation is a critical technology to improve users' online news reading experience.", "The core of news recommendation is accurate matching between user's interests and candidate news.", "The same user usually has diverse interests that are reflected in different news she has browsed.",...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "absta...
[ "Generating from Abstract Meaning Representation (AMR) is an underspecified problem, as many syntactic decisions are not constrained by the semantic graph.", "To explicitly account for this underspecification, we break down generating from AMR into two steps: first generate a syntactic structure, and then generat...
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[ "Abstract We present a gradient-tree-boosting-based structured learning model for jointly disambiguating named entities in a document.", "Gradient tree boosting is a widely used machine learning algorithm that underlies many top-performing natural language processing systems.", "Surprisingly, most works limit t...
[ "method", "abstain", "abstain", "objective", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "obj...
[ "Neural Machine Translation (NMT) systems exhibit problematic biases, such as stereotypical gender bias in the translation of occupation terms into languages with grammatical gender.", "In this paper we describe a new source of bias prevalent in NMT systems, relating to translations of sentences containing person...
[ "abstain", "objective", "abstain", "result", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "result", "result", "abstain", "method", "abstain", "other", "abstain", "abstain", "abstain...
[ "Identifying causal relations of events is an important task in natural language processing area.", "However, the task is very challenging, because event causality is usually expressed in diverse forms that often lack explicit causal clues.", "Existing methods cannot handle well the problem, especially in the c...
[ "abstain", "abstain", "abstain", "abstain", "objective", "result", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "ab...
[ "Statutory article retrieval is the task of automatically retrieving law articles relevant to a legal question.", "While recent advances in natural language processing have sparked considerable interest in many legal tasks, statutory article retrieval remains primarily untouched due to the scarcity of large-scale...
[ "abstain", "abstain", "abstain", "method", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstai...
[ "Human phenotype-gene relations are fundamental to fully understand the origin of some phenotypic abnormalities and their associated diseases.", "Biomedical literature is the most comprehensive source of these relations, however, we need Relation Extraction tools to automatically recognize them.", "Most of thes...
[ "abstain", "abstain", "abstain", "method", "abstain", "result", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "objective", "method", "result", "abstain",...
[ "Simile interpretation (SI) and simile generation (SG) are challenging tasks for NLP because models require adequate world knowledge to produce predictions.", "Previous works have employed many hand-crafted resources to bring knowledge-related into models, which is time-consuming and labor-intensive.", "In rece...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "Incremental syntactic parsing has been an active research area both for cognitive scientists trying to model human sentence processing and for NLP researchers attempting to combine incremental parsing with language modelling for ASR and MT. Most effort has been directed at designing the right transition mechanism,...
[ "abstain", "abstain", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method"...
[ "Named-entities are inherently multilingual, and annotations in any given language may be limited.", "This motivates us to consider polyglot named-entity recognition (NER), where one model is trained using annotated data drawn from more than one language.", "However, a straightforward implementation of this sim...
[ "abstain", "objective", "abstain", "result", "objective", "result", "other", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "result", "objective", "abstain", "objective", "me...
[ "Xuefeng Su 1,2 , Ru Li 1,3, , Xiaoli Li 4 , Jeff Z.Pan 5 , Hu Zhang 1 , Qinghua Chai 1 , Xiaoqi Han 1. School of Computer and Information Technology, Shanxi University, Taiyuan, China 2. School of E-commerce and Logistics, Shanxi Vocational University", "of Engineering Technology, Taiyuan, China 3. Key Laborato...
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[ "Eye of the Beholder", "Sian Gooding Dept of Computer Science and Technology University of Cambridge shg36@cam.ac.uk", "Ekaterina Kochmar Dept of Computer Science University of Bath ek762@bath.ac.uk", "Seid Muhie Yimam Language Technology group Universitt Hamburg, Germany yimam@informatik.uni-hamburg.de Abstr...
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[ "Natural language processing (NLP) models trained on people-generated data can be unreliable because, without any constraints, they can learn from spurious correlations that are not relevant to the task.", "We hypothesize that enriching models with speaker information in a controlled, educated way can guide them ...
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[ "In online debates, users express different levels of agreement/disagreement with one another's arguments and ideas.", "Often levels of agree-ment/disagreement are implicit in the text and must be predicted to analyze collective opinions.", "Existing stance detection methods predict the polarity of a post's sta...
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[ "Robustness and counterfactual bias are usually evaluated on a test dataset.", "However, are these evaluations robust?", "If the test dataset is perturbed slightly, will the evaluation results keep the same?", "In this paper, we propose a double perturbation framework to uncover model weaknesses beyond the te...
[ "abstain", "abstain", "abstain", "objective", "abstain", "method", "method", "objective", "method", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstai...
[ "Large pre-trained vision-language (VL) models can learn a new task with a handful of examples and generalize to a new task without fine-tuning.", "However, these VL models are hard to deploy for real-world applications due to their impractically huge sizes and slow inference speed.", "To solve this limitation,...
[ "abstain", "abstain", "objective", "method", "method", "abstain", "result", "other", "abstain", "abstain", "abstain", "abstain", "other", "method", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "resul...
[ "Cross-lingual word embeddings ( CLWE ) are often evaluated on bilingual lexicon induction ( BLI ).", "Recent CLWE methods use linear projections, which underfit the training dictionary, to generalize on BLI .", "However, underfitting can hinder generalization to other downstream tasks that rely on words from t...
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[ "Understanding how linguistic structure is encoded in contextualized embedding could help explain their impressive performance across NLP.", "Existing approaches for probing them usually call for training classifiers and use the accuracy, mutual information, or complexity as a proxy for the representation's goodn...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "objective", "m...
[ "We analyze if large language models are able to predict patterns of human reading behavior.", "We compare the performance of language-specific and multilingual pretrained transformer models to predict reading time measures reflecting natural human sentence processing on Dutch, English, German, and Russian texts....
[ "method", "method", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "method", "method", "method", "abstain", "objective", "abstain",...
[ "Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence.", "In this paper, we formulate ACD in the few-shot learning scenario.", "However, existing few-shot learning approaches mainly focus on single-label predictions.", "These methods can not work...
[ "abstain", "method", "abstain", "abstain", "objective", "method", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abst...
[ "Chen Xu 1 , Bojie Hu 2 , Yanyang Li 3 , Yuhao Zhang 1 , Shen Huang 2 , Qi Ju 2 , Tong Xiao 1,4 , Jingbo Zhu 1,4 1 NLP Lab, School of Computer Science and Engineering,", "xuchenneu,blamedrlee,yoohaozhang } @outlook.com , { bojiehu,springhuang,damonju } @tencent.com , { xiaotong,zhujingbo } @mail.neu.edu.cn", ...
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[ "Web-crawled data provides a good source of parallel corpora for training machine translation models.", "It is automatically obtained, but extremely noisy, and recent work shows that neural machine translation systems are more sensitive to noise than traditional statistical machine translation methods.", "In th...
[ "abstain", "abstain", "objective", "method", "abstain", "objective", "result", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "result", "method", "objective", "abstain", "method", "abstain", "abstain", "abst...
[ "Word and sentence embeddings are useful feature representations in natural language processing.", "However, intrinsic evaluation for embeddings lags far behind, and there has been no significant update since the past decade.", "Word and sentence similarity tasks have become the de facto evaluation method.", ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "abstain", "other", "method", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "obj...
[ "There is no consensus on the state-of-the-art approach to historical text normalization.", "Many techniques have been proposed, including rule-based methods, distance metrics, character-based statistical machine translation, and neural encoderdecoder models, but studies have used different datasets, different ev...
[ "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abs...
[ "Multimodal fusion has been proved to improve emotion recognition performance in previous works.", "However, in real-world applications, we often encounter the problem of missing modality, and which modalities will be missing is uncertain.", "It makes the fixed multimodal fusion fail in such cases.", "In this...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "a...
[ "We present STARC (Structured Annotations for Reading Comprehension), a new annotation framework for assessing reading comprehension with multiple choice questions.", "Our framework introduces a principled structure for the answer choices and ties them to textual span annotations.", "The framework is implemente...
[ "objective", "abstain", "abstain", "objective", "result", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Various models have been proposed to incorporate knowledge of syntactic structures into neural language models.", "However, previous works have relied heavily on elaborate components for a specific language model, usually recurrent neural network (RNN), which makes themselves unwieldy in practice to fit into oth...
[ "abstain", "abstain", "abstain", "objective", "method", "result", "abstain", "abstain", "abstain", "other", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "abstain", "objective", "abstain", "m...
[ "This paper solves the fake news detection problem under a more realistic scenario on social media.", "Given the source short-text tweet and the corresponding sequence of retweet users without text comments, we aim at predicting whether the source tweet is fake or not, and generating explanation by highlighting t...
[ "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Sentence encoders based on the transformer architecture have shown promising results on various natural language tasks.", "The main impetus lies in the pre-trained neural language models that capture long-range dependencies among words, owing to multi-head attention that is unique in the architecture.", "Howev...
[ "abstain", "abstain", "abstain", "objective", "abstain", "other", "abstain", "abstain", "abstain", "method", "abstain", "objective", "method", "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "other", ...
[ "Yoshimasa Tsuruoka The University of Tokyo", "tsuruoka@logos.t.u-tokyo.ac.jp Abstract A major obstacle in reinforcement learning-based sentence generation is the large action space whose size is equal to the vocabulary size of the target-side language.", "To improve the efficiency of reinforcement learning, we...
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[ "We present two neural models for event factuality prediction, which yield significant performance gains over previous models on three event factuality datasets: FactBank, UW, and MEANTIME.", "We also present a substantial expansion of the It Happened portion of the Universal Decompositional Semantics dataset, yi...
[ "result", "method", "result", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "result", "abstain", "method", "objective", "method", "result", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "o...
[ "We propose Generation-Augmented Retrieval (GAR ) for answering open-domain questions, which augments a query through text generation of heuristically discovered relevant contexts without external resources as supervision.", "We demonstrate that the generated contexts substantially enrich the semantics of the que...
[ "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "me...
[ "Text generation has made significant advances in the last few years.", "Yet, evaluation metrics have lagged behind, as the most popular choices (e.g., BLEU and ROUGE) may correlate poorly with human judgments.", "We propose BLEURT , a learned evaluation metric based on BERT that can model human judgments with ...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Readers of academic research papers often read with the goal of answering specific questions.", "Question Answering systems that can answer those questions can make consumption of the content much more efficient.", "However, building such tools requires data that reflect the difficulty of the task arising from...
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[ "Transformer architecture achieves great success in abundant natural language processing tasks.", "The over-parameterization of the Transformer model has motivated plenty of works to alleviate its overfitting for superior performances.", "With some explorations, we find simple techniques such as dropout, can gr...
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[ "We introduce KBGAN , an adversarial learning framework to improve the performances of a wide range of existing knowledge graph embedding models.", "Because knowledge graphs typically only contain positive facts, sampling useful negative training examples is a nontrivial task.", "Replacing the head or tail enti...
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[ "Short textual descriptions of entities provide summaries of their key attributes and have been shown to be useful sources of background knowledge for tasks such as entity linking and question answering.", "However, generating entity descriptions, especially for new and long-tail entities, can be challenging sinc...
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[ "Rumours can spread quickly through social media, and malicious ones can bring about significant economical and social impact.", "Motivated by this, our paper focuses on the task of rumour detection; particularly, we are interested in understanding how early we can detect them.", "Although there are numerous st...
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[ "Most of the previous Rhetorical Structure Theory (RST) parsing methods are based on supervised learning such as neural networks, that require an annotated corpus of sufficient size and quality.", "However, the RST Discourse Treebank (RST-DT), the benchmark corpus for RST parsing in English, is small due to the c...
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[ "pawang@cse.iitkgp.ac.in", "Abstract Distributed representations of words learned from text have proved to be successful in various natural language processing tasks in recent times.", "While some methods represent words as vectors computed from text using predictive model (Word2vec) or dense count based model ...
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[ "Automated methods have been widely used to identify and analyze mental health conditions (e.g., depression) from various sources of information, including social media.", "Yet, deployment of such models in real-world healthcare applications faces challenges including poor out-of-domain generalization and lack of...
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[ "CommonsenseQA ( CQA ) (Talmor et al., 2019) dataset was recently released to advance the research on common-sense question answering (QA) task.", "Whereas the prior work has mostly focused on proposing QA models for this dataset, our aim is to retrieve as well as generate explanation for a given (ques-tion, corr...
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[ "Neural Topic Modeling with Bidirectional Adversarial Training Rui Wang Xuemeng Hu Deyu Zhou Yulan He Yuxuan Xiong Chenchen Ye Haiyang Xu School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, China Department...
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[ "Virtual adversarial training (VAT) is a powerful technique to improve model robustness in both supervised and semi-supervised settings.", "It is effective and can be easily adopted on lots of image classification and text classification tasks.", "However, its benefits to sequence labeling tasks such as named e...
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[ "We investigate video-aided grammar induction, which learns a constituency parser from both unlabeled text and its corresponding video.", "Existing methods of multi-modal grammar induction focus on learning syntactic grammars from text-image pairs, with promising results showing that the information from static i...
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