sentences
list
labels
list
[ "Deception often takes place during everyday conversations, yet conversational dialogues remain largely unexplored by current work on automatic deception detection.", "In this paper, we address the task of detecting multimodal deceptive cues during conversational dialogues.", "We introduce a multimodal dataset ...
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[ "Users of medical question answering systems often submit long and detailed questions, making it hard to achieve high recall in answer retrieval.", "To alleviate this problem, we propose a novel Multi-Task Learning (MTL) method with data augmentation for medical question understanding.", "We first establish an ...
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[ "We introduce a general framework for several information extraction tasks that share span representations using dynamically constructed span graphs.", "The graphs are constructed by selecting the most confident entity spans and linking these nodes with confidence-weighted relation types and coreferences.", "Th...
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[ "It has been proven that automatic conversational agents can be built up using the End-to-End Neural Response Generation (NRG) framework, and such a data-driven methodology requires a large number of dialog pairs for model training and reasonable evaluation metrics for testing.", "This paper proposes a Large Scal...
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[ "This paper presents a corpus and experiments to mine possession relations from text.", "Specifically, we target alienable and control possessions, and assign temporal anchors indicating when the possession holds between possessor and possessee.", "We present new annotations for this task, and experimental resu...
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[ "We present an adaptation of RNN sequence models to the problem of multi-label classification for text, where the target is a set of labels , not a sequence.", "Previous such RNN models define probabilities for sequences but not for sets; attempts to obtain a set probability are after-thoughts of the network desi...
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[ "Open-domain dialog systems have a user-centric goal: to provide humans with an engaging conversation experience.", "User engagement is one of the most important metrics for evaluating open-domain dialog systems, and could also be used as real-time feedback to benefit dialog policy learning.", "Existing work on...
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[ "In traditional approaches to entity linking, linking decisions are based on three sources of information the similarity of the mention string to an entity's name, the similarity of the context of the document to the entity, and broader information about the knowledge base (KB).", "In some domains, there is litt...
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[ "We present the first supertagging-based parser for linear context-free rewriting systems (LCFRS).", "It utilizes neural classifiers and outperforms previous LCFRS-based parsers in both accuracy and parsing speed by a wide margin.", "Our results keep up with the best (gen-eral) discontinuous parsers, particular...
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[ "A major hurdle in data-driven research on typology is having sufficient data in many languages to draw meaningful conclusions.", "We present VoxClamantis V 1.0 , the first large-scale corpus for phonetic typology, with aligned segments and estimated phoneme-level labels in 690 readings spanning 635 languages, al...
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[ "In open-domain question answering, dense passage retrieval has become a new paradigm to retrieve relevant passages for finding answers.", "Typically, the dual-encoder architecture is adopted to learn dense representations of questions and passages for semantic matching.", "However, it is difficult to effective...
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[ "On social media platforms, hateful and offensive language negatively impact the mental well-being of users and the participation of people from diverse backgrounds.", "Automatic methods to detect offensive language have largely relied on datasets with categorical labels.", "However, comments can vary in their ...
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[ "Understanding causality has vital importance for various Natural Language Processing (NLP) applications.", "Beyond the labeled instances, conceptual explanations of the causality can provide deep understanding of the causal facts to facilitate the causal reasoning process.", "However, such explanation informat...
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[ "Many text classification tasks are known to be highly domain-dependent.", "Unfortunately, the availability of training data can vary drastically across domains.", "Worse still, for some domains there may not be any annotated data at all.", "In this work, we propose a multinomial adversarial network 1 ( MAN )...
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[ "Implicit discourse relation recognition is a challenging task due to the lack of connectives as strong linguistic clues.", "Previous methods primarily encode two arguments separately or extract the specific interaction patterns for the task, which have not fully exploited the annotated relation signal.", "Ther...
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[ "Relation prediction informed from a combination of text corpora and curated knowledge bases, combining knowledge graph completion with relation extraction, is a relatively little studied task.", "A system that can perform this task has the ability to extend an arbitrary set of relational database tables with inf...
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[ "In open-domain question answering (QA), retrieve-and-read mechanism has the inherent benefit of interpretability and the easiness of adding, removing, or editing knowledge compared to the parametric approaches of closed-book QA models.", "However, it is also known to suffer from its large storage footprint due t...
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[ "In natural language processing, a recently popular line of work explores how to best report the experimental results of neural networks.", "One exemplar publication, titled Show Your Work: Improved Reporting of Experimental Results (Dodge et al., 2019), advocates for reporting the expected validation effectivene...
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[ "In sequence modeling, certain tokens are usually less ambiguous than others, and representations of these tokens require fewer refinements for disambiguation.", "However, given the nature of attention-based models like Transformer and UT (universal transformer), all tokens are equally processed towards depth.", ...
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[ "Training neural models for named entity recognition (NER) in a new domain often requires additional human annotations that are usually expensive and time-consuming to collect.", "Thus, a crucial research question is how to obtain supervision in a cost-effective way.", "In this paper, we introduce entity trigge...
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[ "We present PROTOTEX , a novel white-box NLP classification architecture based on prototype networks (Li et al., 2018).", "PROTOTEX faithfully explains model decisions based on prototype tensors that encode latent clusters of training examples.", "At inference time, classification decisions are based on the dis...
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[ "Recent advances in natural language processing have enabled powerful privacy-invasive authorship attribution.", "To counter authorship attribution, researchers have proposed a variety of rule-based and learning-based text obfuscation approaches.", "However, existing authorship obfuscation approaches do not con...
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[ "Abstract k -Nearest-Neighbor Machine Translation ( k NN-MT) has been recently proposed as a non-parametric solution for domain adaptation in neural machine translation (NMT).", "It aims to alleviate the performance degradation of advanced MT systems in translating out-of-domain sentences by coordinating with an ...
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[ "It is appealing to have a system that generates a story or scripts automatically from a storyline, even though this is still out of our reach.", "In dialogue systems, it would also be useful to drive dialogues by a dialogue plan.", "In this paper, we address a key problem involved in these applications guiding...
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[ "We propose to train a non-autoregressive machine translation model to minimize the energy defined by a pretrained autoregressive model.", "In particular, we view our non-autoregressive translation system as an inference network (Tu and Gimpel, 2018) trained to minimize the autoregressive teacher energy.", "Thi...
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[ "Open-domain question answering can be reformulated as a phrase retrieval problem, without the need for processing documents on-demand during inference (Seo et al., 2019).", "However, current phrase retrieval models heavily depend on sparse representations and still underper-form retriever-reader approaches.", ...
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[ "Humans can distinguish new categories very efficiently with few examples, largely due to the fact that human beings can leverage knowledge obtained from relevant tasks.", "However, deep learning based text classification model tends to struggle to achieve satisfactory performance when labeled data are scarce.", ...
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[ "Sentence simplification is the task of rewriting texts so they are easier to understand.", "Recent research has applied sequence-to-sequence (Seq2Seq) models to this task, focusing largely on training-time improvements via reinforcement learning and memory augmentation.", "One of the main problems with applyin...
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[ "A few approaches have been developed to improve neural machine translation (NMT) models with multiple passes of decoding.", "However, their performance gains are limited because of lacking proper policies to terminate the multi-pass process.", "To address this issue, we introduce a novel architecture of Rewrit...
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[ "Automatic evaluation systems in the field of automatic summarization have been relying on the availability of gold standard summaries for over ten years.", "Gold standard summaries are expensive to obtain and often require the availability of domain experts to achieve high quality.", "In this paper, we propose...
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[ "We propose an unsupervised approach for sarcasm generation based on a non-sarcastic input sentence.", "Our method employs a retrieve-and-edit framework to instantiate two major characteristics of sarcasm: reversal of valence and semantic incongruity with the context, which could include shared commonsense or wor...
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[ "This work aims to tackle the challenging heterogeneous graph encoding problem in the text-to-SQL task.", "Previous methods are typically node-centric and merely utilize different weight matrices to parameterize edge types, which 1) ignore the rich semantics embedded in the topological structure of edges, and 2) ...
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[ "Due to high data demands of current methods, attention to zero-shot cross-lingual spoken language understanding (SLU) has grown, as such approaches greatly reduce human annotation effort.", "However, existing models solely rely on shared parameters, which can only perform implicit alignment across languages.", ...
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[ "Although pretrained Transformers such as BERT achieve high accuracy on in-distribution examples, do they generalize to new distributions?", "We systematically measure out-of-distribution (OOD) generalization for seven NLP datasets by constructing a new robustness benchmark with realistic distribution shifts.", ...
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[ "Responsing with image has been recognized as an important capability for an intelligent conversational agent.", "Yet existing works only focus on exploring the multimodal dialogue models which depend on retrieval-based methods, but neglecting generation methods.", "To fill in the gaps, we first present a new t...
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[ "Evaluating open-domain dialogue systems is difficult due to the diversity of possible correct answers.", "Automatic metrics such as BLEU correlate weakly with human annotations, resulting in a significant bias across different models and datasets.", "Some researchers resort to human judgment experimentation fo...
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[ "Bilingual lexicons map words in one language to their translations in another, and are typically induced by learning linear projections to align monolingual word embedding spaces.", "In this paper, we show it is possible to produce much higher quality lexicons with methods that combine (1) unsupervised bitext mi...
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[ "Research on the application of NLP in symbol-based Augmentative and Alternative Communication (AAC) tools for improving social interaction support is scarce.", "We contribute a novel method for generating context-related vocabulary from photographs of personally relevant events aimed at supporting people with la...
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[ "Cross-lingual transfer learning with large multilingual pre-trained models can be an effective approach for low-resource languages with no labeled training data.", "Existing evaluations of zero-shot cross-lingual generalisability of large pre-trained models use datasets with English training data, and test data ...
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[ "1 School of Information, Renmin University of China, Beijing, China, 2 Department of Computer Science and Technology, Tsinghua University, Beijing, 3 Mila Quebec AI Institute.", "Recent works on knowledge base question answering (KBQA) retrieve subgraphs for easier reasoning.", "The desired subgraph is crucial...
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[ "Building models of natural language processing (NLP) is challenging in low-resource scenarios where only limited data are available.", "Optimization-based meta-learning algorithms achieve promising results in low-resource scenarios by adapting a well-generalized model initialization to handle new tasks.", "Non...
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[ "We propose neural models to generate high-quality text from structured representations based on Minimal Recursion Semantics (MRS).", "MRS is a rich semantic representation that encodes more precise semantic detail than other representations such as Abstract Meaning Representation (AMR).", "We show that a seque...
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[ "The dominant paradigm for high-performance models in novel NLP tasks today is direct specialization for the task via training from scratch or fine-tuning large pre-trained models.", "But does direct specialization capture how humans approach novel language tasks?", "We hypothesize that human performance is bet...
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[ "Mohit Bansal", "Abstract Pre-trained sequence-to-sequence language models have led to widespread success in many natural language generation tasks.", "However, there has been relatively less work on analyzing their ability to generate structured outputs such as graphs.", "Unlike natural language, graphs have...
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[ "This paper is concerned with dialogue state tracking (DST) in a task-oriented dialogue system.", "Building a DST module that is highly effective is still a challenging issue, although significant progresses have been made recently.", "This paper proposes a new approach to dialogue state tracking, referred to a...
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[ "In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary.", "Motivated by the ability of a monolingual speaker learning to translate via looking up the bilingual dictionary, we propose the task to see how much p...
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[ "Technical logbooks are a challenging and under-explored text type in automated event identification.", "These texts are typically short and written in non-standard yet technical language, posing challenges to off-the-shelf NLP pipelines.", "The granularity of issue types described in these datasets additionall...
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[ "Identifying changes in individuals' behaviour and mood, as observed via content shared on online platforms, is increasingly gaining importance.", "Most research to-date on this topic focuses on either:", "(a) identifying individuals at risk or with a certain mental health condition given a batch of posts or", ...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "objective", "objective", "abstain", "method"...
[ "Text classification is a significant branch of natural language processing, and has many applications including document classification and sentiment analysis.", "Unsurprisingly, those who do text classification are concerned with the run-time of their algorithms, many of which depend on the size of the corpus' ...
[ "abstain", "abstain", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "objective", "result", "result", "method", "abstai...
[ "Generating metaphors is a difficult task as it requires understanding nuanced relationships between abstract concepts.", "In this paper, we aim to generate a metaphoric sentence given a literal expression by replacing relevant verbs.", "Guided by conceptual metaphor theory, we propose to control the generation...
[ "abstain", "objective", "objective", "objective", "abstain", "result", "abstain", "abstain", "abstain", "objective", "other", "method", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Language identification for code-switching (CS), the phenomenon of alternating between two or more languages in conversations, has traditionally been approached under the as-sumption of a single language per token.", "However, if at least one language is morphologically rich, a large number of words can be compo...
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[ "We report on adaptation of multilingual end-to-end speech recognition models trained on as many as 100 languages.", "Our findings shed light on the relative importance of similarity between the target and pretraining languages along the dimensions of phonetics, phonology, language family, geographical location, ...
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[ "Leaderboards are widely used in NLP and push the field forward.", "While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and subjects ( NLP models).", "Rather than replace leaderboards, we advocate a re-imagining so that they better high...
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[ "For task-oriented dialog systems to be maximally useful, it must be able to process conversations in a way that is (1) generalizable with a small number of training examples for new task domains, and (2) robust to user input in various styles, modalities, or domains.", "In pursuit of these goals, we introduce th...
[ "abstain", "objective", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abs...
[ "We introduce a grey-box adversarial attack and defence framework for sentiment classification.", "We address the issues of differentiability, label preservation and input reconstruction for adversarial attack and defence in one unified framework.", "Our results show that once trained, the attacking model is ca...
[ "abstain", "abstain", "result", "abstain", "result", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "method", "objective", "objective", "method", "result", "re...
[ "Although transformers are remarkably eective for many tasks, there are some surprisingly easy-looking regular languages that they struggle with.", "Hahn shows that for languages where acceptance depends on a single input symbol, a transformer's classification decisions become less and less confident (that is, wi...
[ "abstain", "abstain", "objective", "objective", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "result", "objective", "result", "method", "result", "result", "abstain", "abstain", "abstain"...
[ "Visual question answering aims to answer the natural language question about a given image.", "Existing graph-based methods only focus on the relations between objects in an image and neglect the importance of the syntactic dependency relations between words in a question.", "To simultaneously capture the rela...
[ "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "objective", "objective", "abstain", ...
[ "Language model (LM) pretraining captures various knowledge from text corpora, helping downstream NLP tasks.", "However, existing methods such as BERT model a single document, failing to capture document dependencies and knowledge that spans across documents.", "In this work, we propose LinkBERT , an effective ...
[ "abstain", "abstain", "objective", "method", "objective", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Recently unsupervised Bilingual Lexicon In-duction(BLI) without any parallel corpus has attracted much research interest.", "One of the crucial parts in methods for the BLI task is the matching procedure.", "Previous works impose a too strong constraint on the matching and lead to many counterintuitive transla...
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[ "Adversarial attacks alter NLP model predictions by perturbing test-time inputs.", "However, it is much less understood whether, and how, predictions can be manipulated with small, concealed changes to the training data.", "In this work, we develop a new data poisoning attack that allows an adversary to control...
[ "abstain", "abstain", "objective", "method", "method", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", ...
[ "The tasks of Rich Semantic Parsing, such as Abstract Meaning Representation (AMR), share similar goals with Information Extraction (IE) to convert natural language texts into structured semantic representations.", "To take advantage of such similarity, we propose a novel AMR-guided framework for joint informatio...
[ "abstain", "objective", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "result", "abstain", "objective", "method", "objective", "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", ...
[ "We use coherence relations inspired by computational models of discourse to study the information needs and goals of image captioning.", "Using an annotation protocol specifically devised for capturing imagecaption coherence relations, we annotate 10,000 instances from publicly-available imagecaption pairs.", ...
[ "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "objective", "objective", "method", "method", "method", "result", "abstain", "abstain",...
[ "We present a study on leveraging multilingual pre-trained generative language models for zero-shot cross-lingual event argument extraction (EAE).", "By formulating EAE as a language generation task, our method effectively encodes event structures and captures the dependencies between arguments.", "We design la...
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[ "Conversational agents trained on large unlabeled corpora of human interactions will learn patterns and mimic behaviors therein, which may include offensive or otherwise toxic behavior.", "We introduce a new human-and-model-in-the-loop framework for evaluating the toxicity of such models, and compare a variety of...
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[ "Event extraction (EE) has considerably ben-efited from pre-trained language models (PLMs) by fine-tuning.", "However, existing pre-training methods have not involved modeling event characteristics, resulting in the developed EE models cannot take full advantage of large-scale unsupervised data.", "To this end,...
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[ "Sequence-to-sequence models have lead to significant progress in keyphrase generation, but it remains unknown whether they are reliable enough to be beneficial for document retrieval.", "This study provides empirical evidence that such models can significantly improve retrieval performance, and introduces a new ...
[ "abstain", "objective", "method", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "method", "method", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "method", "me...
[ "Recent research on cross-lingual word embeddings has been dominated by unsupervised mapping approaches that align monolingual embeddings.", "Such methods critically rely on those embeddings having a similar structure, but it was recently shown that the separate training in different languages causes departures f...
[ "abstain", "abstain", "objective", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "result", "method", "result", "other", "other", "other", "other", "method", "method", ...
[ "Breaking cybersecurity events are shared across a range of websites, including security blogs (FireEye, Kaspersky, etc.), in addition to social media platforms such as Face-book and Twitter.", "In this paper, we investigate methods to analyze the severity of cybersecurity threats based on the language that is us...
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[ "Fine-tuned pre-trained language models (LMs) have achieved enormous success in many natural language processing (NLP) tasks, but they still require excessive labeled data in the finetuning stage.", "We study the problem of finetuning pre-trained LMs using only weak supervision, without any labeled data.", "Thi...
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[ "Abstract Toxic language detection systems often falsely flag text that contains minority group mentions as toxic, as those groups are often the targets of online hate.", "Such over-reliance on spurious correlations also causes systems to struggle with detecting implicitly toxic language.", "To help mitigate th...
[ "abstain", "abstain", "objective", "abstain", "abstain", "result", "result", "result", "objective", "abstain", "method", "abstain", "abstain", "abstain", "method", "method", "result", "abstain", "abstain", "abstain", "result", "other", "method", "method", "method", ...
[ "Recent work has shown pre-trained language models capture social biases from the large amounts of text they are trained on.", "This has attracted attention to developing techniques that mitigate such biases.", "In this work, we perform an empirical survey of five recently proposed bias mitigation techniques: C...
[ "abstain", "abstain", "objective", "method", "result", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "other", "method", "objective", "objective", "objective", "abstain", "objective", "objective", "method", "result", "method", "result", "re...
[ "Humor plays an important role in human languages and it is essential to model humor when building intelligence systems.", "Among different forms of humor, puns perform wordplay for humorous effects by employing words with double entendre and high phonetic similarity.", "However, identifying and modeling puns a...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "With the growing popularity of deep-learning based NLP models, comes a need for interpretable systems.", "But what is interpretability, and what constitutes a high-quality interpretation?", "In this opinion piece we reflect on the current state of interpretability evaluation research.", "We call for more cle...
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[ "Predicting how events induce emotions in the characters of a story is typically seen as a standard multi-label classification task, which usually treats labels as anonymous classes to predict.", "They ignore information that may be conveyed by the emotion labels themselves.", "We propose that the semantics of ...
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[ "We propose a methodology to construct a term dictionary for text analytics through an interactive process between a human and a machine.", "The interactive approach helps the cre-ation of flexible dictionaries with precise granularity required in text analysis.", "This paper introduces the first formulation of...
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[ "Neural sequence to sequence text generation has been proved to be a viable approach to paraphrase generation.", "Despite promising results, paraphrases generated by these models mostly suffer from lack of quality and diversity.", "To address these problems, we propose a novel retrieval-based method for paraphr...
[ "abstain", "abstain", "objective", "objective", "abstain", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", ...
[ "The recent success of reinforcement learning (RL) in solving complex tasks is often attributed to its capacity to explore and exploit an environment.", "Sample efficiency is usually not an issue for tasks with cheap simulators to sample data online.", "On the other hand, Task-oriented Dialogues (ToD) are usual...
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[ "Given a sentence and its relevant answer, how to ask good questions is a challenging task, which has many real applications.", "Inspired by human's paraphrasing capability to ask questions of the same meaning but with diverse expressions, we propose to incorporate paraphrase knowledge into question genera-tion(Q...
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[ "Risk prediction is an essential task in financial markets.", "Merger and Acquisition (M&A) calls provide key insights into the claims made by company executives about the restructuring of the financial firms.", "Extracting vocal and textual cues from M&A calls can help model the risk associated with such finan...
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[ "We introduce a FEVER-like dataset COVID-Fact of 4 , 086 claims concerning the COVID-19 pandemic.", "The dataset contains claims, evidence for the claims, and contradictory claims refuted by the evidence.", "Unlike previous approaches, we automatically detect true claims and their source articles and then gener...
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[ "Relation Extraction (RE) aims to label relations between groups of marked entities in raw text.", "Most current RE models learn context-aware representations of the target entities that are then used to establish relation between them.", "This works well for intra-sentence RE and we call them first-order relat...
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[ "Languages are dynamic systems: word usage may change over time, reflecting various societal factors.", "However, all languages do not evolve identically: the impact of an event, the influence of a trend or thinking, can differ between communities.", "In this paper, we propose to track these divergences by comp...
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[ "Contextual sequence mapping is one of the fundamental problems in Natural Language Processing.", "Instead of relying solely on the information presented in a text, the learning agents have access to a strong external signal given to assist the learning process.", "In this paper, we propose a novel family of Re...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "result", "method", "result", "objective",...
[ "We introduce a noisy channel approach for language model prompting in few-shot text classification.", "Instead of computing the likelihood of the label given the input (referred as direct models), channel models compute the conditional probability of the input given the label, and are thereby required to explain...
[ "abstain", "abstain", "objective", "result", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "result", "abstain", "result", "abstain", "objective", "result", "method", "other", "other", "other", ...
[ "We aim to better exploit the limited amounts of parallel text available in low-resource settings by introducing a differentiable reconstruction loss for neural machine translation (NMT).", "This loss compares original inputs to reconstructed inputs, obtained by back-translating translation hypotheses into the in...
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[ "Affective tasks such as sentiment analysis, emotion classification and sarcasm detection have been popular in recent years due to abundance of user-generated data, accurate computational linguistic models, and broad range of relevant applications in various domains.", "At the same time, many studies have highlig...
[ "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "a...
[ "We propose TRACIE , a novel temporal reasoning dataset that evaluates the degree to which systems understand implicit events events that are not mentioned explicitly in natural language text but can be inferred from it.", "This introduces a new challenge in temporal reasoning research, where prior work has focus...
[ "objective", "abstain", "abstain", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", ...
[ "Abstract Due to its effectiveness and performance, the Transformer translation model has attracted wide attention, most recently in terms of probing-based approaches.", "Previous work focuses on using or probing source linguistic features in the encoder.", "To date, the way word translation evolves in Transfor...
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[ "Previous pre-neural work on structured prediction has produced very effective supervised clustering algorithms using linear classifiers, e.g., structured SVM or perceptron.", "However, these cannot exploit the representation learning ability of neural networks, which would make supervised clustering even more po...
[ "abstain", "abstain", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "method", "method", "method", "objective...
[ "A Dialogue State Tracker (DST) is a core component of a modular task-oriented dialogue system.", "Tremendous progress has been made in recent years.", "However, the major challenges remain.", "The state-of-the-art accuracy for DST is below 50% for a multi-domain dialogue task.", "A learnable DST for any ne...
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[ "We present Neural Machine Translation (NMT) training using document-level metrics with batch-level documents.", "Previous sequence-objective approaches to NMT training focus exclusively on sentence-level metrics like sentence BLEU which do not correspond to the desired evaluation metric, typically document BLEU....
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[ "The large size of pretrained networks makes them difficult to deploy for multiple tasks in storage-constrained settings.", "Diff pruning enables parameter-efficient transfer learning that scales well with new tasks.", "The approach learns a task-specific diff vector that extends the original pretrained paramet...
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[ "Multilingual question answering tasks typically assume that answers exist in the same language as the question.", "Yet in practice, many languages face both information scarcity where languages have few reference articlesand information asymmetry where questions reference concepts from other cultures.", "This ...
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[ "We introduce VoxPopuli, a large-scale multilingual corpus providing 400K hours of unlabeled speech data in 23 languages.", "It is the largest open data to date for unsupervised representation learning as well as semi-supervised learning.", "VoxPopuli also contains 1.8K hours of transcribed speeches in 15 langu...
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[ "Hrituraj Singh Triomics,Noida,India", "Anshul Nasery, Denil Mehta, Aishwarya Agarwal, Jatin Lamba Indian Institute of Technology Bombay, India", "Balaji Vasan Srinivasan Adobe Research, Bangalore, India", "Abstract", "Multimodal research has picked up signifi-cantly in the space of question answering with ...
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[ "Automated generation of conversational dialogue using modern neural architectures has made notable advances.", "However, these models are known to have a drawback of often producing uninteresting, predictable responses; this is known as the diversity problem.", "We introduce a new strategy to address this prob...
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[ "In this work, we explore the implicit event argument detection task, which studies event arguments beyond sentence boundaries.", "The addition of cross-sentence argument candidates imposes great challenges for modeling.", "To reduce the number of candidates, we adopt a two-step approach, decomposing the proble...
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[ "Cross-lingual named entity recognition task is one of the critical problems for evaluating the potential transfer learning techniques on low resource languages.", "Knowledge distillation using pre-trained multilingual language models between source and target languages have shown their superiority in transfer.",...
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[ "We propose T uring A dvice , a new challenge task and dataset for language understanding models.", "Given a written situation that a real person is currently facing, a model must generate helpful advice in natural language.", "Our evaluation framework tests a fundamental aspect of human language understanding:...
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[ "How to learn a better speech representation for end-to-end speech-to-text translation (ST) with limited labeled data?", "Existing techniques often attempt to transfer powerful machine translation (MT) capabilities to ST, but neglect the representation discrepancy across modalities.", "In this paper, we propose...
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