Datasets:
scim
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naacl_data_prog

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[ "Manual fact-checking does not scale well to serve the needs of the internet.", "This issue is further compounded in non-English contexts.", "In this paper, we discuss claim matching as a possible solution to scale fact-checking.", "We define claim matching as the task of identifying pairs of textual messages...
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[ "We propose a general framework called Text Modular Networks (TMNs) for building interpretable systems that learn to solve complex tasks by decomposing them into simpler ones solvable by existing models.", "To ensure solvability of simpler tasks, TMNs learn the textual input-output behavior (i.e., language ) of e...
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[ "The element of repetition in cyberbullying behavior has directed recent computational studies toward detecting cyberbullying based on a social media session .", "In contrast to a single text, a session may consist of an initial post and an associated sequence of comments.", "Yet, emerging efforts to enhance th...
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[ "Medical report generation task, which targets to produce long and coherent descriptions of medical images, has attracted growing research interests recently.", "Different from the general image captioning tasks, medical report generation is more challenging for data-driven neural models.", "This is mainly due ...
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[ "While it has been shown that Neural Machine Translation ( NMT ) is highly sensitive to noisy parallel training samples, prior work treats all types of mismatches between source and target as noise.", "As a result, it remains unclear how samples that are mostly equivalent but contain a small number of semanticall...
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[ "Neural networks are surprisingly good at interpolating and perform remarkably well when the training set examples resemble those in the test set.", "However, they are often unable to extrapolate patterns beyond the seen data, even when the abstractions required for such patterns are simple.", "In this paper, w...
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[ "Hybrid data combining both tabular and textual content (e.g., financial reports) are quite pervasive in the real world.", "However, Question Answering (QA) over such hybrid data is largely neglected in existing research.", "In this work, we extract samples from real financial reports to build a new large-scale...
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[ "Pretrained language models are now ubiquitous in Natural Language Processing.", "Despite their success, most available models have either been trained on English data or on the concatenation of data in multiple languages.", "This makes practical use of such modelsin all languages except Englishvery limited.", ...
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[ "We propose MULTIOPED 1 , an open-domain news editorial corpus that supports various tasks pertaining to the argumentation structure in news editorials, focusing on automatic perspective discovery .", "News editorial is a genre of persuasive text, where the argumentation structure is usually implicit .", "Howev...
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[ "Context-aware neural machine translation (NMT) remains challenging due to the lack of large-scale document-level parallel dataset.", "To break the corpus bottleneck, in this paper we aim to improve context-aware NMT by taking the advantage of the availability of both large-scale sentence-level parallel dataset a...
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[ "Recent work has improved our ability to detect linguistic knowledge in word representations.", "However, current methods for detecting syntactic knowledge do not test whether syntax trees are represented in their entirety.", "In this work, we propose a structural probe , which evaluates whether syntax trees ar...
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[ "The discovery of supporting evidence for addressing complex mathematical problems is a semantically challenging task, which is still unexplored in the field of natural language processing for mathematical text.", "The natural language premise selection task consists in using conjectures written in both natural l...
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[ "Confidence calibration, which aims to make model predictions equal to the true correctness measures, is important for neural machine translation (NMT) because it is able to offer useful indicators of translation errors in the generated output.", "While prior studies have shown that NMT models trained with label ...
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[ "It has been exactly a decade since the first es-tablishment of SPMRL, a research initiative unifying multiple research efforts to address the peculiar challenges of Statistical Parsing for Morphologically-Rich Languages (MRLs).", "Here we reflect on parsing MRLs in that decade, highlight the solutions and lesson...
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[ "This survey builds an interdisciplinary picture of Argument Mining (AM), with a strong focus on its potential to address issues related to Social and Political Science.", "More specifically, we focus on AM challenges related to its applications to social media and in the multilingual domain, and then proceed to ...
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[ "We find that existing language modeling datasets contain many near-duplicate examples and long repetitive substrings.", "As a result, over 1% of the unprompted output of language models trained on these datasets is copied verbatim from the training data.", "We develop two tools that allow us to deduplicate tra...
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[ "Current predominant neural machine translation (NMT) models often have a deep structure with large amounts of parameters, making these models hard to train and easily suffering from over-fitting.", "A common practice is to utilize a validation set to evaluate the training process and select the best checkpoint."...
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[ "Contextual features always play an important role in Chinese word segmentation (CWS).", "Wordhood information, being one of the contextual features, is proved to be useful in many conventional character-based segmenters.", "However, this feature receives less attention in recent neural models and it is also ch...
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[ "Abstract Learning disentangled representations of textual data is essential for many natural language tasks such as fair classification, style transfer and sentence generation, among others.", "The existent dominant approaches in the context of text data either rely on training an adversary (discriminator) that ...
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[ "In this paper, we present CorefQA, an accurate and extensible approach for the coreference resolution task.", "We formulate the problem as a span prediction task, like in question answering: A query is generated for each candidate mention using its surrounding context, and a span prediction module is employed to...
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[ "This paper studies the (often implicit) human values behind natural language arguments, such as to have freedom of thought or to be broadminded .", "Values are commonly accepted answers to why some option is desirable in the ethical sense and are thus essential both in real-world argumentation and theoretical ar...
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[ "We tackle the problem of generating a pun sentence given a pair of homophones (e.g., died and dyed ).", "Supervised text generation is inappropriate due to the lack of a large corpus of puns, and even if such a corpus existed, mimicry is at odds with generating novel content.", "In this paper, we propose an...
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[ "Syntactic analysis plays an important role in semantic parsing, but the nature of this role remains a topic of ongoing debate.", "The debate has been constrained by the scarcity of empirical comparative studies between syntactic and semantic schemes, which hinders the development of parsing methods informed by t...
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[ "Previous works that integrated news articles to better process stock prices used a variety of neural networks to predict price movements.", "The textual and price information were both encoded in the neural network, and it is therefore difficult to apply this approach in situations other than the original framew...
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[ "In classification, there are usually some good features that are indicative of class labels.", "For example, in sentiment classification, words like good and nice are indicative of the positive sentiment and words like bad and terrible are indicative of the negative sentiment.", "However, there are also many c...
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[ "Negation is a core construction in natural language.", "Despite being very successful on many tasks, state-of-the-art pre-trained language models often handle negation incorrectly.", "To improve language models in this regard, we propose to augment the language modeling objective with an unlikelihood objective...
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[ "We extracted information from the ACL Anthology (AA) and Google Scholar (GS) to examine trends in citations of NLP papers.", "We explore questions such as: how well cited are papers of different types (journal articles, conference papers, demo papers, etc.)?", "how well cited are papers from different areas of...
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[ "Despite recent successes of large pre-trained language models in solving reasoning tasks, their inference capabilities remain opaque.", "We posit that such models can be made more interpretable by explicitly generating interim inference rules, and using them to guide the generation of task-specific textual outpu...
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[ "Developing bots demands high quality training samples, typically in the form of user utterances and their associated intents.", "Given the fuzzy nature of human language, such datasets ideally must cover all possible utterances of each single intent.", "Crowdsourcing has widely been used to collect such inclus...
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[ "Targeted syntactic evaluation of subject-verb number agreement in English (TSE) evaluates language models' syntactic knowledge using hand-crafted minimal pairs of sentences that differ only in the main verb's conjugation.", "The method evaluates whether language models rate each grammatical sentence as more like...
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[ "Given an untrimmed video and a text query, natural language video localization (NLVL) is to locate a matching span from the video that semantically corresponds to the query.", "Existing solutions formulate NLVL either as a ranking task and apply multimodal matching architecture, or as a regression task to direct...
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[ "Understanding the dynamics of international politics is important yet challenging for civilians.", "In this work, we explore unsupervised neural models to infer relations between nations from news articles.", "We extend existing models by incorporating shallow linguistics information and propose a new automati...
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[ "Self-training is a semi-supervised learning approach for utilizing unlabeled data to create better learners.", "The efficacy of self-training algorithms depends on their data sampling techniques.", "The majority of current sampling techniques are based on predetermined policies which may not effectively explor...
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[ "Procedures are inherently hierarchical.", "To make videos , one may need to purchase a camera , which in turn may require one to set a budget .", "While such hierarchical knowledge is critical for reasoning about complex procedures, most existing work has treated procedures as shallow structures without modeli...
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[ "The performance of multilingual pretrained models is highly dependent on the availability of monolingual or parallel text present in a target language.", "Thus, the majority of the world's languages cannot benefit from recent progress in NLP as they have no or limited textual data.", "To expand possibilities o...
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[ "Abstract One of the reasons Transformer translation models are popular is that self-attention networks for context modelling can be easily parallelized at sequence level.", "However, the computational complexity of a self-attention network is O ( n 2 ) , increasing quadratically with sequence length.", "By con...
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[ "This paper explores data augmentation methods for training Neural Machine Translation to make use of similar translations, in a comparable way a human translator employs fuzzy matches.", "In particular, we show how we can simply feed the neural model with information on both source and target sides of the fuzzy ...
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[ "We examine the extent to which supervised bridging resolvers can be improved without employing additional labeled bridging data by proposing a novel constrained multi-task learning framework for bridging resolution, within which we (1) design cross-task consistency constraints to guide the learning process; (2) pr...
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[ "Computational linguistic research on language change through distributional semantic (DS) models has inspired researchers from fields such as philosophy and literary studies, who use these methods for the exploration and comparison of comparatively small datasets traditionally analyzed by close reading.", "Resea...
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[ "To achieve the long-term goal of machines being able to engage humans in conversation, our models should captivate the interest of their speaking partners.", "Communication grounded in images, whereby a dialogue is conducted based on a given photo, is a setup naturally appealing to humans (Hu et al., 2014).", ...
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[ "Previous representation learning techniques for knowledge graph representation usually represent the same entity or relation in different triples with the same representation, without considering the ambiguity of relations and entities.", "To appropriately handle the semantic variety of entities/relations in dis...
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[ "Neural networks lack the ability to reason about qualitative physics and so cannot generalize to scenarios and tasks unseen during training.", "We propose ESPRIT, a framework for commonsense reasoning about qualitative physics in natural language that generates interpretable descriptions of physical events.", ...
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[ "Table fact verification aims to check the correctness of textual statements based on given semi-structured data.", "Most existing methods are devoted to better comprehending logical operations and tables, but they hardly study generating latent programs from statements, with which we can not only retrieve eviden...
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[ "Sequence-to-sequence models excel at handling natural language variation, but have been shown to struggle with out-of-distribution compositional generalization.", "This has motivated new specialized architectures with stronger compositional biases, but most of these approaches have only been evaluated on synthet...
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[ "Document-level event extraction aims to recognize event information from a whole piece of article.", "Existing methods are not effective due to two challenges of this task:", "a) the target event arguments are scattered across sentences;", "b) the correlation among events in a document is non-trivial to mode...
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[ "Dependency parsing research, which has made significant gains in recent years, typically focuses on improving the accuracy of singletree predictions.", "However, ambiguity is inherent to natural language syntax, and communicating such ambiguity is important for error analysis and better-informed downstream appli...
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[ "We study a new problem setting of information extraction (IE), referred to as text-to-table.", "In text-to-table, given a text, one creates a table or several tables expressing the main content of the text, while the model is learned from text-table pair data.", "The problem setting differs from those of the e...
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[ "An increasing number of people in the world today speak a mixed-language as a result of being multilingual.", "However, building a speech recognition system for code-switching remains difficult due to the availability of limited resources and the expense and significant effort required to collect mixed-language ...
[ "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "other", "abstain", "abstain", "abstain", "method", "abstain", "result", "result", "absta...
[ "This paper presents a novel task to generate poll questions for social media posts.", "It offers an easy way to hear the voice from the public and learn from their feelings to important social topics.", "While most related work tackles formally-written texts (e.g., exam papers), we generate poll questions for ...
[ "objective", "abstain", "method", "objective", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "other", "abstain", "abstain", "result", "abstain", "objective", "abstain", "abstain", "abstain", ...
[ "Attention mechanisms have achieved substantial improvements in neural machine translation by dynamically selecting relevant inputs for different predictions.", "However, recent studies have questioned the attention mechanisms' capability for discovering decisive inputs.", "In this paper, we propose to calibrat...
[ "abstain", "abstain", "objective", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "result", "method", "objective", "result", "result", "method", "abstain", "abstain", "resu...
[ "In this paper, we argue that elementary discourse unit (EDU) is a more appropriate textual unit of content selection than the sentence unit in abstractive summarization.", "To well handle the problem of composing EDUs into an informative and fluent summary, we propose a novel summarization method that first desi...
[ "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "result", "method", "objective", "result", "abstain", "abstain",...
[ "The state-of-the-art on basic, single-antecedent anaphora has greatly improved in recent years.", "Researchers have therefore started to pay more attention to more complex cases of anaphora such as split-antecedent anaphora, as in Time-Warner is considering a legal challenge to Telecommunications Inc's plan to b...
[ "abstain", "abstain", "abstain", "abstain", "method", "method", "other", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "method", "method", "result", ...
[ "Previous work on multimodal machine translation (MMT) has focused on the way of incorporating vision features into translation but little attention is on the quality of vision models.", "In this work, we investigate the impact of vision models on MMT.", "Given the fact that Transformer is becoming popular in c...
[ "abstain", "objective", "method", "objective", "result", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "objective", "a...
[ "Ryan Steed Carnegie Mellon University ryansteed@cmu.edu", "{swetasudha.panda,ari.kobren,michael.wick}@oracle.com", "A few large, homogenous, pre-trained models undergird many machine learning systems and often, these models contain harmful stereotypes learned from the internet.", "We investigate the bias tr...
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[ "Transformer based re-ranking models can achieve high search relevance through context-aware soft matching of query tokens with document tokens.", "To alleviate runtime complexity of such inference, previous work has adopted a late interaction architecture with pre-computed contextual token representations at the...
[ "abstain", "abstain", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "objective", "result", "other", "other", "m...
[ "Emotion detection in dialogues is challenging as it often requires the identification of thematic topics underlying a conversation, the relevant commonsense knowledge, and the intricate transition patterns between the affective states.", "In this paper, we propose a Topic-Driven Knowledge-Aware Transformer to ha...
[ "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "objective", "method", ...
[ "We contribute a new dataset 1 for the task of automated fact checking and an evaluation of state of the art algorithms.", "The dataset includes claims (from speeches, interviews, social media and news articles), review articles published by professional fact checkers and premise articles used by those profession...
[ "objective", "abstain", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain...
[ "Lemmatization of standard languages is concerned with", "(i) abstracting over morphological differences and", "(ii) resolving token-lemma ambiguities of inflected words in order to map them to a dictionary headword.", "In the present paper we aim to improve lemmatization performance on a set of non-standard ...
[ "abstain", "abstain", "abstain", "objective", "abstain", "method", "result", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "result", "obje...
[ "Most works on financial forecasting use information directly associated with individual companies (e.g., stock prices, news on the company) to predict stock returns for trading.", "We refer to such company-specific information as local information.", "Stock returns may also be influenced by global information ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "We introduce a data-driven approach to generating derivation trees from meaning representation graphs with probabilistic synchronous hyperedge replacement grammar (PSHRG).", "SHRG has been used to produce meaning representation graphs from texts and syntax trees, but little is known about its viability on the re...
[ "method", "abstain", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "metho...
[ "Transformer-based language models benefit from conditioning on contexts of hundreds to thousands of previous tokens.", "What aspects of these contexts contribute to accurate model prediction?", "We describe a series of experiments that measure usable information by selectively ablating lexical and structural i...
[ "abstain", "abstain", "method", "result", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "method", "method", "abstain", "abstain", "result", "abstain", "result", "abstain", "abstain", "abstain", "...
[ "Tables are often created with hierarchies, but existing works on table reasoning mainly focus on flat tables and neglect hierarchical tables.", "Hierarchical tables challenge table reasoning by complex hierarchical indexing, as well as implicit relationships of calculation and semantics.", "We present a new da...
[ "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "...
[ "Topic models have been widely used to learn text representations and gain insight into document corpora.", "To perform topic discovery, most existing neural models either take document bag-of-words (BoW) or sequence of tokens as input followed by variational inference and BoW reconstruction to learn topic-word d...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "result", "result", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "r...
[ "Over the last few years, there has been growing interest in learning models for physically grounded language understanding tasks, such as the popular blocks world domain.", "These works typically view this problem as a singlestep process, in which a human operator gives an instruction and an automated agent is e...
[ "abstain", "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "method", "method", "method", "result", "method", "objective", "abstain", "abstain", "result", "objective", "result", "ob...
[ "Multilingual neural machine translation (NMT) has led to impressive accuracy improvements in low-resource scenarios by sharing common linguistic information across languages.", "However, the traditional multilingual model fails to capture the diversity and specificity of different languages, resulting in inferio...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "objective", "objective", "objective", "method", "method", "objective", "objective", "abstain", "abstain...
[ "Warning: this paper contains example data that may be offensive or upsetting.", "Current open-domain conversational models can easily be made to talk in inadequate ways.", "Online learning from conversational feedback given by the conversation partner is a promising avenue for a model to improve and adapt, so ...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "objective", "other", "abstain", "abstain", "a...
[ "Being engaging, knowledgeable, and empathetic are all desirable general qualities in a conversational agent.", "Previous work has introduced tasks and datasets that aim to help agents to learn those qualities in isolation and gauge how well they can express them.", "But rather than being specialized in one sin...
[ "abstain", "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "other", "abstain", "result", "objective", "result", "objective", "other", "method", "method", "other", "other", "other", "other", "other", "other", "other", "ot...
[ "Recent pretrained vision-language models have achieved impressive performance on cross-modal retrieval tasks in English.", "Their success, however, heavily depends on the availability of many annotated image-caption datasets for pretraining, where the texts are not necessarily in English.", "Although we can ut...
[ "abstain", "abstain", "method", "objective", "objective", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", ...
[ "A well-known limitation in pretrain-finetune paradigm lies in its inflexibility caused by the one-size-fits-all vocabulary.", "This potentially weakens the effect when applying pretrained models into natural language generation (NLG) tasks, especially for the subword distributions between upstream and downstream...
[ "abstain", "abstain", "objective", "abstain", "abstain", "method", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Named entity recognition (NER) is a fundamental task in natural language processing.", "Recent works treat named entity recognition as a reading comprehension task, constructing type-specific queries manually to extract entities.", "This paradigm suffers from three issues.", "First, type-specific queries can...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "method", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abst...
[ "We focus on the task of Frequently Asked Questions (FAQ) retrieval.", "A given user query can be matched against the questions and/or the answers in the FAQ.", "We present a fully unsupervised method that exploits the FAQ pairs to train two BERT models.", "The two models match user queries to FAQ answers and...
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[ "Recent advances in Question Answering have lead to the development of very complex models which compute rich representations for query and documents by capturing all pairwise interactions between query and document words.", "This makes these models expensive in space and time, and in practice one has to restrict...
[ "abstain", "abstain", "abstain", "abstain", "method", "objective", "method", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain...
[ "Spoken language understanding (SLU) is an essential component in conversational systems.", "Most SLU components treat each utterance independently, and then the following components aggregate the multi-turn information in the separate phases.", "In order to avoid error propagation and effectively utilize conte...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "obj...
[ "Generating code-switched text is a problem of growing interest, especially given the scarcity of corpora containing large volumes of real code-switched text.", "In this work, we adapt a state-of-the-art neural machine translation model to generate Hindi-English code-switched sentences starting from monolingual H...
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[ "Unsupervised Domain Adaptation (UDA) aims to transfer the knowledge of source domain to the unlabeled target domain.", "Existing methods typically require to learn to adapt the target model by exploiting the source data and sharing the network architecture across domains.", "However, this pipeline makes the so...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "abstain", "abstain", ...
[ "Natural language processing models often exploit spurious correlations between task-independent features and labels in datasets to perform well only within the distributions they are trained on, while not generalising to different task distributions.", "We propose to tackle this problem by generating a debiased ...
[ "abstain", "objective", "objective", "method", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "objective", "abstain", "method", "abstain", "method", "result", "abstain", "objective", "abstain", "...
[ "Sequence modeling has demonstrated state-of-the-art performance on natural language and document understanding tasks.", "However, it is challenging to correctly serialize tokens in form-like documents in practice due to their variety of layout patterns.", "We propose FormNet, a structure-aware sequence model t...
[ "abstain", "abstain", "objective", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "...
[ "Recurrent Variational Autoencoder has been widely used for language modeling and text generation tasks.", "These models often face a difficult optimization problem, also known as the Kullback-Leibler (KL) term vanishing issue, where the posterior easily collapses to the prior, and the model will ignore latent co...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "result", "result", "other", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective...
[ "Diachronic distributional models track changes in word use over time.", "In this paper, we propose a deep neural network diachronic distributional model.", "Instead of modeling lexical change via a time series as is done in previous work, we represent time as a continuous variable and model a word's usage as a...
[ "abstain", "objective", "abstain", "objective", "objective", "abstain", "other", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "We introduce entity post-modifier generation as an instance of a collaborative writing task.", "Given a sentence about a target entity, the task is to automatically generate a post-modifier phrase that provides contextually relevant information about the entity.", "For example, for the sentence, Barack Obama, ...
[ "abstain", "abstain", "abstain", "method", "abstain", "result", "abstain", "result", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "metho...
[ "Reference-free evaluation has the potential to make machine translation evaluation substantially more scalable, allowing us to pivot easily to new languages or domains.", "It has been recently shown that the probabilities given by a large, multilingual model can achieve state of the art results when used as a re...
[ "objective", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "objective", "...
[ "Generative Adversarial Networks (GANs) are a promising approach for text generation that, unlike traditional language models (LM), does not suffer from the problem of exposure bias.", "However, A major hurdle for understanding the potential of GANs for text generation is the lack of a clear evaluation metric.", ...
[ "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "method", "result", "method", "result", "other", "other", "other", ...
[ "Detecting biased language is useful for a variety of applications, such as identifying hyperpartisan news sources or flagging one-sided rhetoric.", "In this work we introduce WikiEvolve, a dataset for document-level promotional tone detection in English.", "Unlike previously proposed datasets, it contains seve...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", ...
[ "Syntactic information, especially dependency trees, has been widely used by existing studies to improve relation extraction with better semantic guidance for analyzing the context information associated with the given entities.", "However, most existing studies suffer from the noise in the dependency trees, espe...
[ "abstain", "abstain", "objective", "abstain", "method", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "method", "abstain", "...
[ "Fine-tuned language models have been shown to exhibit biases against protected groups in a host of modeling tasks such as text classification and coreference resolution.", "Previous works focus on detecting these biases, reducing bias in data representations, and using auxiliary training objectives to mitigate b...
[ "abstain", "abstain", "abstain", "objective", "objective", "result", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", ...
[ "Domain Adaptation is widely used in practical applications of neural machine translation, which aims to achieve good performance on both general domain and in-domain data.", "However, the existing methods for domain adaptation usually suffer from catastrophic forgetting, large domain divergence, and model explos...
[ "abstain", "abstain", "objective", "objective", "method", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "objective", ...
[ "Most general-purpose extractive summarization models are trained on news articles, which are short and present all important information upfront.", "As a result, such models are biased by position and often perform a smart selection of sentences from the beginning of the document.", "When summarizing long narr...
[ "abstain", "abstain", "abstain", "objective", "objective", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "In this paper, we focus on identifying interactive argument pairs from two posts with opposite stances to a certain topic.", "Considering opinions are exchanged from different perspectives of the discussing topic, we study the discrete representations for arguments to capture varying aspects in argumentation lan...
[ "method", "method", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "other", "other", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", ...
[ "Understanding manipulated media, from automatically generated deepfakes' to manually edited ones, raises novel research challenges.", "Because the vast majority of edited or manipulated images are benign, such as photoshopped images for visual enhancements, the key challenge is to understand the complex layers o...
[ "abstain", "abstain", "objective", "abstain", "objective", "result", "result", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "objective", "abstain", "abstain", "method", ...
[ "Traditional language models are unable to efficiently model entity names observed in text.", "All but the most popular named entities appear infrequently in text providing insufficient context.", "Recent efforts have recognized that context can be generalized between entity names that share the same type (e.g....
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "objective", "objecti...
[ "Entity linking (EL) is concerned with disambiguating entity mentions in a text against knowledge bases (KB).", "It is crucial in a considerable number of fields like humanities, technical writing and biomedical sciences to enrich texts with semantics and discover more knowledge.", "The use of EL in such domain...
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[ "Lexically constrained machine translation allows the user to manipulate the output sentence by enforcing the presence or absence of certain words and phrases.", "Although current approaches can enforce terms to appear in the translation, they often struggle to make the constraint word form agree with the rest of...
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[ "The enrichment of tabular datasets using external sources has gained significant attention in recent years.", "Existing solutions, however, either ignore external unstructured data completely or devise dataset-specific solutions.", "In this study, we proposed Few-Shot Transformer based Enrichment (FeSTE), a ge...
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[ "Dirichlet Multinomial Regression ( DMR ) and other supervised topic models can incorporate arbitrary document-level features to inform topic priors.", "However, their ability to model corpora are limited by the representation and selection of these features a choice the topic modeler must make.", "Instead, we...
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[ "Neural topic models can augment or replace bag-of-words inputs with the learned representations of deep pre-trained transformer-based word prediction models.", "One added benefit when using representations from multilingual models is that they facilitate zero-shot polylingual topic modeling.", "However, while ...
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[ "We introduce an argumentation annotation approach to model the structure of argumentative discourse in student-written business model pitches.", "Additionally, the annotation scheme captures a series of persuasiveness scores such as the specificity, strength, evidence, and relevance of the pitch and the individu...
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[ "This paper explores a new natural language processing task, review-driven multi-label music style classification.", "This task requires systems to identify multiple styles of music based on its reviews on websites.", "The biggest challenge lies in the complicated relations of music styles.", "To tackle this ...
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[ "Question answering (QA) is a fundamental means to facilitate assessment and training of narrative comprehension skills for both machines and young children, yet there is scarcity of high-quality QA datasets carefully designed to serve this purpose.", "In particular, existing datasets rarely distinguish fine-grai...
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[ "In many languages like Arabic, diacritics are used to specify pronunciations as well as meanings.", "Such diacritics are often omitted in written text, increasing the number of possible pronunciations and meanings for a word.", "This results in a more ambiguous text making computational processing on such text...
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[ "This work revisits the task of training sequence tagging models with limited resources using transfer learning.", "We investigate several proposed approaches introduced in recent works and suggest a new loss that relies on sentence reconstruction from normalized embeddings.", "Specifically, our method demonstr...
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