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naacl_data_prog

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[ "Idioms are unlike most phrases in two important ways.", "First, words in an idiom have non-canonical meanings.", "Second, the noncanonical meanings of words in an idiom are contingent on the presence of other words in the idiom.", "Linguistic theories differ on whether these properties depend on one another,...
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[ "Recent years have brought about an interest in the challenging task of summarizing conversation threads (meetings, online discussions, etc.).", "Such summaries help analysis of the long text to quickly catch up with the decisions made and thus improve our work or communication efficiency.", "To spur research i...
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[ "Continuity of care is crucial to ensuring positive health outcomes for patients discharged from an inpatient hospital setting, and improved information sharing can help.", "To share information, caregivers write discharge notes containing action items to share with patients and their future caregivers, but these...
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[ "To address the challenge of policy learning in open-domain multi-turn conversation, we propose to represent prior information about dialog transitions as a graph and learn a graph grounded dialog policy, aimed at fostering a more coherent and controllable dialog.", "To this end, we first construct a conversation...
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[ "We study the problem of textual relation embedding with distant supervision.", "To combat the wrong labeling problem of distant supervision, we propose to embed textual relations with global statistics of relations, i.e., the co-occurrence statistics of textual and knowledge base relations collected from the ent...
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[ "Information Extraction (IE) from scientific texts can be used to guide readers to the central information in scientific documents.", "But narrow IE systems extract only a fraction of the information captured, and Open IE systems do not perform well on the long and complex sentences encountered in scientific text...
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[ "Although current state-of-the-art Transformer-based solutions succeeded in a wide range for single-document NLP tasks, they still struggle to address multi-input tasks such as multi-document summarization.", "Many solutions truncate the inputs, thus ignoring potential summary-relevant contents, which is unaccept...
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[ "We present a targeted, scaled-up comparison of incremental processing in humans and neural language models by collecting by-word reaction time data for sixteen different syntactic test suites across a range of structural phenomena.", "Human reaction time data comes from a novel online experimental paradigm calle...
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[ "Tables store rich numerical data, but numerical reasoning over tables is still a challenge.", "In this paper, we find that the spreadsheet formula, a commonly used language to perform computations on numerical values in spreadsheets, is valuable supervision for numerical reasoning in tables.", "Considering lar...
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[ "Public debate forums provide a common platform for exchanging opinions on a topic of interest.", "While recent studies in natural language processing (NLP) have provided empirical evidence that the language of the debaters and their patterns of interaction play a key role in changing the mind of a reader, resear...
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[ "We present a simple but effective method for aspect identification in sentiment analysis.", "Our unsupervised method only requires word embeddings and a POS tagger, and is therefore straightforward to apply to new domains and languages.", "We introduce Contrastive Attention (CAt ), a novel single-head attentio...
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[ "Graph Convolutional Networks (GCNs) are a class of spectral clustering techniques that leverage localized convolution filters to perform supervised classification directly on graphical structures.", "While such methods model nodes' local pairwise importance, they lack the capability to model global importance re...
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[ "Neural network models have been actively applied to word segmentation, especially Chinese, because of the ability to minimize the effort in feature engineering.", "Typical segmentation models are categorized as character-based, for conducting exact inference, or word-based, for utilizing word-level information."...
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[ "Abstract Temporal orientation refers to an individual's tendency to connect to the psychological concepts of past , present or future , and it affects personality, motivation, emotion, decision making and stress coping processes.", "The study of the social media users' psycho-demographic attributes from the pers...
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[ "Emotion recognition in conversations is crucial for the development of empathetic machines.", "Present methods mostly ignore the role of inter-speaker dependency relations while classifying emotions in conversations.", "In this paper, we address recognizing utterance-level emotions in dyadic conversational vid...
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[ "We present a novel method for mapping unrestricted text to knowledge graph entities by framing the task as a sequence-to-sequence problem.", "Specifically, given the encoded state of an input text, our decoder directly predicts paths in the knowledge graph, starting from the root and ending at the target node fo...
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[ "Transformer-based models are the modern work horses for neural machine translation (NMT), reaching state of the art across several benchmarks.", "Despite their impressive accuracy, we observe a systemic and rudimentary class of errors made by current state-of-the-art NMT models with regards to translating from a...
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[ "In this paper we implement and compare 7 different data augmentation strategies for the task of automatic scoring of children's ability to understand others' thoughts, feelings, and desires (or mindreading).", "We recruit in-domain experts to re-annotate augmented samples and determine to what extent each strate...
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[ "Deep learning has emerged as a compelling solution to many NLP tasks with remarkable performances.", "However, due to their opacity, such models are hard to interpret and trust.", "Recent work on explaining deep models has introduced approaches to provide insights toward the model's behaviour and predictions, ...
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[ "Natural language generation lies at the core of generative dialogue systems and conversational agents.", "We describe an ensemble neural language generator, and present several novel methods for data representation and augmentation that yield improved results in our model.", "We test the model on three dataset...
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[ "Deep attention models have advanced the modelling of sequential data across many domains.", "For language modelling in particular, the Transformer-XL a Transformer augmented with a long-range memory of past activations has been shown to be state-of-the-art across a variety of well-studied benchmarks.", "The ...
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[ "The scarcity of parallel data is a major obstacle for training high-quality machine translation systems for low-resource languages.", "Fortunately, some low-resource languages are linguistically related or similar to high-resource languages; these related languages may share many lexical or syntactic structures....
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[ "Vision and language navigation (VLN) is a challenging visually-grounded language understanding task.", "Given a natural language navigation instruction, a visual agent interacts with a graph-based environment equipped with panorama images and tries to follow the described route.", "Most prior work has been con...
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[ "Pre-trained sequence-to-sequence models have significantly improved Neural Machine Translation (NMT).", "Different from prior works where pre-trained models usually adopt an unidirectional decoder, this paper demonstrates that pre-training a sequence-to-sequence model but with a bidirectional decoder can produce...
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[ "Lemmatization aims to reduce the sparse data problem by relating the inflected forms of a word to its dictionary form.", "Most prior work on ML based lemmatization has focused on high resource languages, where data sets (word forms) are readily available.", "For languages which have no linguistic work availabl...
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[ "Pre-trained language models such as BERT have been successful at tackling many natural language processing tasks.", "However, the unsupervised sub-word tokenization methods commonly used in these models (e.g., byte-pair encoding BPE) are sub-optimal at handling morphologically rich languages.", "Even given a ...
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[ "Aspect-based sentiment analysis involves the recognition of so called opinion target expressions (OTEs).", "To automatically extract OTEs, supervised learning algorithms are usually employed which are trained on manually annotated corpora.", "The creation of these corpora is labor-intensive and sufficiently la...
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[ "Transferring the knowledge to a small model through distillation has raised great interest in recent years.", "Prevailing methods transfer the knowledge derived from mono-granularity language units (e.g., token-level or sample-level), which is not enough to represent the rich semantics of a text and may lose som...
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[ "Knowledge distillation (KD) is commonly used to construct synthetic data for training non-autoregressive translation (NAT) models.", "However, there exists a discrepancy on low-frequency words between the distilled and the original data, leading to more errors on predicting low-frequency words.", "To alleviate...
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[ "Identifying intertextual relationships between authors is of central importance to the study of literature.", "We report an empirical analysis of intertextuality in classical Latin literature using word embedding models.", "To enable quantitative evaluation of intertextual search methods, we curate a new datas...
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[ "Logical table-to-text generation aims to automatically generate fluent and logically faithful text from tables.", "The task remains challenging where deep learning models often generated linguistically fluent but logically inconsistent text.", "The underlying reason may be that deep learning models often captu...
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[ "The success of the large neural language models on many NLP tasks is exciting.", "However, we find that these successes sometimes lead to hype in which these models are being described as understanding language or capturing meaning.", "In this position paper, we argue that a system trained only on form has a p...
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[ "Visual Dialog involves understanding the dialog history (what has been discussed previously) and the current question (what is asked), in addition to grounding information in the image, to generate the correct response.", "In this paper, we show that co-attention models which explicitly encode dialog history out...
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[ "Natural Language Processing (NLP) systems learn harmful societal biases that cause them to amplify inequality as they are deployed in more and more situations.", "To guide efforts at debiasing these systems, the NLP community relies on a variety of metrics that quantify bias in models.", "Some of these metrics...
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[ "There is a growing interest in the combined use of NLP and machine learning methods to predict gaze patterns during naturalistic reading.", "While promising results have been obtained through the use of transformer-based language models, little work has been undertaken to relate the performance of such models to...
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[ "Training on only perfect Standard English corpora predisposes pre-trained neural networks to discriminate against minorities from nonstandard linguistic backgrounds (e.g., African American Vernacular English, Colloquial Singapore English, etc.).", "We perturb the inflectional morphology of words to craft plausib...
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[ "We propose PeTra, a memory-augmented neural network designed to track entities in its memory slots.", "PeTra is trained using sparse annotation from the GAP pronoun resolution dataset and outperforms a prior memory model on the task while using a simpler architecture.", "We empirically compare key modeling cho...
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[ "We explore multitask models for neural translation of speech, augmenting them in order to reflect two intuitive notions.", "First, we introduce a model where the second task decoder receives information from the decoder of the first task, since higher-level intermediate representations should provide useful info...
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[ "The existence of universal models to describe the syntax of languages has been debated for decades.", "The availability of resources such as the Universal Dependencies treebanks and the World Atlas of Language Structures make it possible to study the plausibility of universal grammar from the perspective of depe...
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[ "Pinecone Systems ingber@pinecone.io", "BERT based ranking models have achieved superior performance on various information retrieval tasks.", "However, the large number of parameters and complex self-attention operations come at a significant latency overhead.", "To remedy this, recent works propose late-int...
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[ "This work presents a new approach to unsupervised abstractive summarization based on maximizing a combination of coverage and fluency for a given length constraint.", "It introduces a novel method that encourages the inclusion of key terms from the original document into the summary: key terms are masked out of ...
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[ "The prosperity of Massive Open Online Courses (MOOCs) provides fodder for many NLP and AI research for education applications, e.g., course concept extraction, prerequisite relation discovery, etc.", "However, the publicly available datasets of MOOC are limited in size with few types of data, which hinders advan...
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[ "Even though BERT has achieved successful performance improvements in various supervised learning tasks, BERT is still limited by repetitive inferences on unsupervised tasks for the computation of contextual language representations.", "To resolve this limitation, we propose a novel deep bidirectional language mo...
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[ "Michael Collins 2 , Kristina Toutanova", "In this paper we study yes/no questions that are naturally occurring meaning that they are generated in unprompted and unconstrained settings.", "We build a reading comprehension dataset, BoolQ, of such questions, and show that they are unexpectedly challenging.", ...
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[ "Building general reading comprehension sys-tems, capable of solving multiple datasets at the same time, is a recent aspirational goal in the research community.", "Prior work has focused on model architectures or generalization to held out datasets, and largely passed over the particulars of the multi-task learn...
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[ "The development of neural networks and pretraining techniques has spawned many sentence-level tagging systems that achieved superior performance on typical benchmarks.", "However, a relatively less discussed topic is what if more context information is introduced into current top-scoring tagging systems.", "Al...
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[ "The advent of large pre-trained language models has given rise to rapid progress in the field of Natural Language Processing (NLP).", "While the performance of these models on standard benchmarks has scaled with size, compression techniques such as knowledge distillation have been key in making them practical.",...
[ "abstain", "abstain", "objective", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Static word embeddings that represent words by a single vector cannot capture the variability of word meaning in different linguistic and extralinguistic contexts.", "Building on prior work on contextualized and dynamic word embeddings, we introduce dynamic contextualized word embeddings that represent words as ...
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[ "In relation extraction for knowledge-based question answering, searching from one entity to another entity via a single relation is called one hop.", "In related work, an exhaustive search from all one-hop relations, two-hop relations, and so on to the max-hop relations in the knowledge graph is necessary but ex...
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[ "Knowledge graph (KG) entity typing aims at inferring possible missing entity type instances in KG, which is a very significant but still under-explored subtask of knowledge graph completion.", "In this paper, we propose a novel approach for KG entity typing which is trained by jointly utilizing local typing know...
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[ "In this work, we propose a flow-adapter architecture for unsupervised NMT.", "It leverages normalizing flows to explicitly model the distributions of sentence-level latent representations, which are subsequently used in conjunction with the attention mechanism for the translation task.", "The primary novelties...
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[ "When primed with only a handful of training samples, very large, pretrained language models such as GPT-3 have shown competitive results when compared to fully-supervised, fine-tuned, large, pretrained language models.", "We demonstrate that the order in which the samples are provided can make the difference bet...
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[ "Existing question answering (QA) techniques are created mainly to answer questions asked by humans.", "But in educational applications, teachers often need to decide what questions they should ask, in order to help students to improve their narrative understanding capabilities.", "We design an automated questi...
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[ "Current textual question answering (QA) models achieve strong performance on in-domain test sets, but often do so by fitting surface-level patterns, so they fail to generalize to out-of-distribution settings.", "To make a more robust and understandable QA system, we model question answering as an alignment probl...
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[ "Progress with supervised Open Information Extraction (OpenIE) has been primarily limited to English due to the scarcity of training data in other languages.", "In this paper, we explore techniques to automatically convert English text for training OpenIE systems in other languages.", "We introduce the Alignmen...
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[ "With the recent advances of open-domain story generation, the lack of reliable automatic evaluation metrics becomes an increasingly imperative issue that hinders the fast development of story generation.", "According to conducted researches in this regard, learnable evaluation metrics have promised more accurate...
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[ "Contextual word embedding models, such as BioBERT and Bio_ClinicalBERT, have achieved state-of-the-art results in biomedical natural language processing tasks by focusing their pre-training process on domain-specific corpora.", "However, such models do not take into consideration structured expert domain knowled...
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[ "Effective adversary generation for neural machine translation (NMT) is a crucial prerequisite for building robust machine translation systems.", "In this work, we investigate veritable evaluations of NMT adversarial attacks, and propose a novel method to craft NMT adversarial examples.", "We first show the cur...
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[ "While deep learning models are making fast progress on the task of Natural Language Inference, recent studies have also shown that these models achieve high accuracy by exploiting several dataset biases, and without deep understanding of the language semantics.", "Using contradiction-word bias and word-overlappi...
[ "abstain", "objective", "objective", "method", "abstain", "abstain", "objective", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "result", "method", "method", "ob...
[ "Bingyu Wang Khoury College of CS Northeastern University rainicy@ccs.neu.edu", "Kechen Qin Khoury College of CS Northeastern University qin.ke@husky.neu.edu", "Abstract Extreme Multi-label classification (XML) is an important yet challenging machine learning task, that assigns to each instance its most relevan...
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[ "Abstract First-order meta-learning algorithms have been widely used in practice to learn initial model parameters that can be quickly adapted to new tasks due to their efficiency and effectiveness.", "However, existing studies find that meta-learner can overfit to some specific adaptation when we have heterogene...
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[ "Negation and uncertainty modeling are longstanding tasks in natural language processing.", "Linguistic theory postulates that expressions of negation and uncertainty are semantically independent from each other and the content they modify.", "However, previous works on representation learning do not explicitly...
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[ "In this theme paper, we reflect on the progress of Automated Writing Evaluation ( AWE ), using Ellis Page's seminal 1966 paper to frame the presentation.", "We discuss some of the current frontiers in the field, and offer some thoughts on the emergent uses of this technology.", "In a seminal paper on the immin...
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[ "Recognizing temporal relations among events and time expressions has been an essential but challenging task in natural language processing.", "Conventional annotation of judging temporal relations puts a heavy load on annotators.", "In reality, the existing annotated corpora include annotations on only salient...
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[ "Masked language models have quickly become the de facto standard when processing text.", "Recently, several approaches have been proposed to further enrich word representations with external knowledge sources such as knowledge graphs.", "However, these models are devised and evaluated in a monolingual setting ...
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[ "We introduce deep inside-outside recursive autoencoders (DIORA), a fully-unsupervised method for discovering syntax that simultaneously learns representations for constituents within the induced tree.", "Our approach predicts each word in an input sentence conditioned on the rest of the sentence and uses inside-...
[ "abstain", "method", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "other", "method", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Abstract Automatic code summarization, which aims to describe the source code in natural language, has become an essential task in software maintenance.", "Our fellow researchers have attempted to achieve such a purpose through various machine learning-based approaches.", "One key challenge keeping these appro...
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[ "The journey of reducing noise from distant supervision (DS) generated training data has been started since the DS was first introduced into the relation extraction (RE) task.", "For the past decade, researchers apply the multi-instance learning (MIL) framework to find the most reliable feature from a bag of sent...
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[ "Recent end-to-end task oriented dialog systems use memory architectures to incorporate external knowledge in their dialogs.", "Current work makes simplifying assumptions about the structure of the knowledge base (such as the use of triples to represent knowledge) and combines dialog utterances (context), as well...
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[ "Abstract", "Generating image captions with user intention is an emerging need.", "The recently published Localized Narratives dataset takes mouse traces as another input to the image captioning task, which is an intuitive and efficient way for a user to control what to describe in the image.", "However, how ...
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[ "Automatic dialogue response evaluator has been proposed as an alternative to automated metrics and human evaluation.", "However, existing automatic evaluators achieve only moderate correlation with human judgement and they are not robust.", "In this work, we propose to build a reference-free evaluator and expl...
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[ "Synthesizing QA pairs with a question generator (QG) on the target domain has become a popular approach for domain adaptation of question answering (QA) models.", "Since synthetic questions are often noisy in practice, existing work adapts scores from a pretrained QA (or QG) model as criteria to select high-qual...
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[ "Abstract Higher-order methods for dependency parsing can partially but not fully address the issue that edges in dependency trees should be constructed at the text span/subtree level rather than word level.", "In this paper, we propose a new method for dependency parsing to address this issue.", "The proposed ...
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[ "Advanced machine learning techniques have boosted the performance of natural language processing.", "Nevertheless, recent studies, e.g., Zhao et al. (2017) show that these techniques inadvertently capture the societal bias hidden in the corpus and further amplify it.", "However, their analysis is conducted onl...
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[ "Tracking entities throughout a procedure described in a text is challenging due to the dynamic nature of the world described in the process.", "Firstly, we propose to formulate this task as a question answering problem.", "This enables us to use pre-trained transformer-based language models on other QA benchma...
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[ "Knowledge Graph (KG) completion research usually focuses on densely connected benchmark datasets that are not representative of real KGs.", "We curate two KG datasets that include biomedical and encyclopedic knowledge and use an existing commonsense KG dataset to explore KG completion in the more realistic setti...
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[ "We introduce MemSum (Multi-step Episodic Markov decision process extractive SUMma-rizer), a reinforcement-learning-based extractive summarizer enriched at each step with information on the current extraction history.", "When MemSum iteratively selects sentences into the summary, it considers a broad information ...
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[ "Learned self-attention functions in state-of-the-art NLP models often correlate with human attention.", "We investigate whether self-attention in large-scale pre-trained language models is as predictive of human eye fixation patterns during task-reading as classical cognitive models of human attention.", "We c...
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[ "Self-attention networks (SANs) have drawn increasing interest due to their high parallelization in computation and flexibility in modeling dependencies.", "SANs can be further enhanced with multi-head attention by allowing the model to attend to information from different representation subspaces.", "In this w...
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[ "Context gates are effective to control the contributions from the source and target contexts in the recurrent neural network (RNN) based neural machine translation (NMT).", "However, it is challenging to extend them into the advanced Transformer architecture, which is more complicated than RNN.", "This paper f...
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[ "Implicit arguments are not syntactically connected to their predicates, and are therefore hard to extract.", "Previous work has used models with large numbers of features, evaluated on very small datasets.", "We propose to train models for implicit argument prediction on a simple cloze task, for which data can...
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[ "Predicting the political bias and the factuality of reporting of entire news outlets are critical elements of media profiling, which is an understudied but an increasingly important research direction.", "The present level of proliferation of fake, biased, and propagandistic content online, has made it impossibl...
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[ "In contrast to recent advances focusing on high-level representation learning across modalities, in this work we present a self-supervised learning framework that is able to learn a representation that captures finer levels of granularity across different modalities such as concepts or events represented by visual...
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[ "Most information extraction methods focus on binary relations expressed within single sentences.", "In high-value domains, however, n -ary relations are of great demand (e.g., drug-gene-mutation interactions in precision oncology).", "Such relations often involve entity mentions that are far apart in the docum...
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[ "To improve the coherence and knowledge retrieval capabilities of non-task-oriented dialogue systems, recent Transformer-based models aim to integrate fixed background context.", "This often comes in the form of knowledge graphs, and the integration is done by creating pseudo utterances through paraphrasing knowl...
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[ "Ashutosh Modi 1 1 Indian Institute of Technology Kanpur (IIT-K) 2 Indian Institute of Science Education and Research Kolkata (IISER-K) 3 West Bengal National University of Juridical Sciences (WBNUJS)", "{ vijitvm,rsan,sknigam } @iitk.ac.in kripaghosh@iiserkol.ac.in shouvikkumarguha@nujs.edu { arnabb,ashutoshm } ...
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[ "Recent work has found evidence that Multilingual BERT (mBERT), a transformer-based multilingual masked language model, is capable of zero-shot cross-lingual transfer, suggesting that some aspects of its representations are shared cross-lingually.", "To better understand this overlap, we extend recent work on fin...
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[ "The cross-database context-dependent Text-to-SQL (XDTS) problem has attracted considerable attention in recent years due to its wide range of potential applications.", "However, we identify two biases in existing datasets for XDTS: (1) a high proportion of context-independent questions and (2) a high proportion ...
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[ "Statutory reasoning is the task of determining whether a legal statute, stated in natural language, applies to the text description of a case.", "Prior work introduced a resource that approached statutory reasoning as a monolithic textual entailment problem, with neural baselines performing nearly at-chance.", ...
[ "abstain", "abstain", "result", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", ...
[ "The quadratic computational and memory complexities of large Transformers have limited their scalability for long document summarization.", "In this paper, we propose HEPOS , a novel efficient encoder-decoder attention with head-wise positional strides to effectively pinpoint salient information from the source....
[ "abstain", "objective", "method", "method", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "objective", "objective", "abstain", "other",...
[ "The composition of richly-inflected words in morphologically complex languages can be a challenge for language learners developing literacy.", "Accordingly, Lane and Bird (2020) proposed a finite state approach which maps prefixes in a language to a set of possible completions up to the next morpheme boundary, f...
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[ "This paper investigates how to effectively incorporate a pre-trained masked language model (MLM), such as BERT, into an encoder-decoder (EncDec) model for grammatical error correction (GEC).", "The answer to this question is not as straightforward as one might expect because the previous common methods for incor...
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[ "Zero-shot learning has been a tough problem since no labeled data is available for unseen classes during training, especially for classes with low similarity.", "In this situation, transferring from seen classes to unseen classes is extremely hard.", "To tackle this problem, in this paper we propose a self-tra...
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[ "Leveraging persona information of users in Neural Response Generators (NRG) to perform personalized conversations has been considered as an attractive and important topic in the research of conversational agents over the past few years.", "Despite of the promising progress achieved by recent studies in this fiel...
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[ "Fact checking is a challenging task because verifying the truthfulness of a claim requires reasoning about multiple retrievable evidence.", "In this work, we present a method suitable for reasoning about the semantic-level structure of evidence.", "Unlike most previous works, which typically represent evidence...
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[ "This paper presents a novel crowd-sourced resource for multimodal discourse: our resource characterizes inferences in imagetext contexts in the domain of cooking recipes in the form of coherence relations.", "Like previous corpora annotating discourse structure between text arguments, such as the Penn Discourse ...
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[ "A number of researchers have recently questioned the necessity of increasingly complex neural network (NN) architectures.", "In particular, several recent papers have shown that simpler, properly tuned models are at least competitive across several NLP tasks.", "In this work, we show that this is also the case...
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[ "Probing has become an important tool for analyzing representations in Natural Language Processing (NLP).", "For graphical NLP tasks such as dependency parsing, linear probes are currently limited to extracting undirected or unlabeled parse trees which do not capture the full task.", "This work introduces DEPPR...
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[ "Multilingual neural machine translation has shown the capability of directly translating between language pairs unseen in training, i.e. zero-shot translation.", "Despite being conceptually attractive, it often suffers from low output quality.", "The difficulty of generalizing to new translation directions sug...
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[ "The Lottery Ticket Hypothesis suggests that an over-parametrized network consists of lottery tick-ets, and training a certain collection of them (i.e., a subnetwork) can match the performance of the full model.", "In this paper, we study such a collection of tickets, which is referred to as winning tickets, in e...
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