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naacl_data_prog

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[ "Measuring what linguistic information is encoded in neural models of language has become popular in NLP.", "Researchers approach this enterprise by training probes supervised models designed to extract linguistic structure from another model's output.", "One such probe is the structural probe (Hewitt and Manni...
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[ "Enrique Amig UNED Madrid, Spain enrique@lsi.uned.es", "Stefano Mizzaro University of Udine Udine, Italy mizzaro@uniud.it", "Jorge Carrillo-de-Albornoz UNED Madrid, Spain jcalbornoz@lsi.uned.es", "Abstract", "In Ordinal Classification tasks, items have to be assigned to classes that have a relative ordering...
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[ "Interpretation methods to reveal the internal reasoning processes behind machine learning models have attracted increasing attention in recent years.", "To quantify the extent to which the identified interpretations truly reflect the intrinsic decision-making mechanisms, various faithfulness evaluation metrics h...
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[ "We propose generative models for three types of extra-grammatical word formation phenomena abounding in English slang: Blends, Clippings, and Reduplicatives .", "Adopting a data-driven approach coupled with linguistic knowledge, we propose simple models with state of the art performance on human annotated gold s...
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[ "Deployed real-world machine learning applications are often subject to uncontrolled and even potentially malicious inputs.", "Those out-of-domain inputs can lead to unpredictable outputs and sometimes catastrophic safety issues.", "Prior studies on out-of-domain detection require in-domain task labels and are ...
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[ "Auditing NLP systems for computational harms like surfacing stereotypes is an elusive goal.", "Several recent efforts have focused on benchmark datasets consisting of pairs of contrastive sentences, which are often accompanied by metrics that aggregate an NLP system's behavior on these pairs into measurements of...
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[ "Sentence fusion is the task of joining several independent sentences into a single coherent text.", "Current datasets for sentence fusion are small and insufficient for training modern neural models.", "In this paper, we propose a method for automatically-generating fusion examples from raw text and present DI...
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[ "AI assistants can now carry out tasks for users by directly interacting with website UIs.", "Current semantic parsing and slot-filling techniques cannot flexibly adapt to many different websites without being constantly re-trained.", "We propose FLIN , a natural language interface for web navigation that maps ...
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[ "Given the clinical notes written in electronic health records (EHRs), it is challenging to predict the diagnostic codes which is formulated as a multi-label classification task.", "The large set of labels, the hierarchical dependency, and the imbalanced data make this prediction task extremely hard.", "Most ex...
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[ "The speech act of complaining is used by humans to communicate a negative mismatch between reality and expectations as a reaction to an unfavorable situation.", "Linguistic theory of pragmatics categorizes complaints into various severity levels based on the face-threat that the complainer is willing to undertak...
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[ "For machine translation to tackle discourse phenomena, models must have access to extra-sentential linguistic context.", "There has been recent interest in modelling context in neural machine translation (NMT), but models have been principally evaluated with standard automatic metrics, poorly adapted to evaluati...
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[ "To defend against neural system-generated fake news, an effective mechanism is urgently needed.", "We contribute a novel benchmark for fake news detection at the knowledge element level, as well as a solution for this task which incorporates cross-media consistency checking to detect the fine-grained knowledge e...
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[ "Generalized zero-shot text classification aims to classify textual instances from both previously seen classes and incrementally emerging unseen classes.", "Most existing methods generalize poorly since the learned parameters are only optimal for seen classes rather than for both classes, and the parameters keep...
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[ "This paper presents three hybrid models that directly combine latent Dirichlet allocation and word embedding for distinguishing between speakers with and without Alzheimer's disease from transcripts of picture descriptions.", "Two of our models get F-scores over the current state-of-the-art using automatic metho...
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[ "Multimodal machine learning algorithms aim to learn visual-textual correspondences.", "Previous work suggests that concepts with concrete visual manifestations may be easier to learn than concepts with abstract ones.", "We give an algorithm for automatically computing the visual concreteness of words and topic...
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[ "Beam search is a go-to strategy for decoding neural sequence models.", "The algorithm can naturally be viewed as a subset optimization problem, albeit one where the corresponding set function does not reflect interactions between candidates.", "Empirically, this leads to sets often exhibiting high overlap, e.g...
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[ "Classical information retrieval systems such as BM25 rely on exact lexical match and carry out search efficiently with inverted list index.", "Recent neural IR models shifts towards soft semantic matching all query document terms, but they lose the computation efficiency of exact match systems.", "This paper p...
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[ "Identifying user geolocation in online social networks is an essential task in many location-based applications.", "Existing methods rely on the similarity of text and network structure, however, they suffer from a lack of interpretability on the corresponding results, which is crucial for understanding model be...
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[ "Syntactic structure is an important component of natural language text.", "Recent top-performing models in Answer Sentence Selection (AS2) use self-attention and transfer learning, but not syntactic structure.", "Tree structures have shown strong performance in tasks with sentence pair input like semantic rela...
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[ "We introduce PRIMERA , a pre-trained model for multi-document representation with a focus on summarization that reduces the need for dataset-specific architectures and large amounts of fine-tuning labeled data.", "PRIMERA uses our newly proposed pre-training objective designed to teach the model to connect and a...
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[ "As natural language processing methods are increasingly deployed in real-world scenarios such as healthcare, legal systems, and social science, it becomes necessary to recognize the role they potentially play in shaping social biases and stereotypes.", "Previous work has revealed the presence of social biases in...
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[ "On the one hand, nowadays, fake news articles are easily propagated through various online media platforms and have become a grand threat to the trustworthiness of information.", "On the other hand, our understanding of the language of fake news is still minimal.", "Incorporating hierarchical discourse-level s...
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[ "Knowledge-based visual question answering (QA) aims to answer a question which requires visually-grounded external knowledge beyond image content itself.", "Answering complex questions that require multi-hop reasoning under weak supervision is considered as a challenging problem since", "i) no supervision is g...
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[ "Large pre-trained language models (PTLMs) have been shown to carry biases towards different social groups which leads to the reproduction of stereotypical and toxic content by major NLP systems.", "We propose a method based on logistic regression classifiers to probe English, French, and Arabic PTLMs and quantif...
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[ "Edward Sun University of Michigan Michigan, USA edwsun@umich.edu", "IBM Research Yorktown, USA zhangyun@us.ibm.com", "nancywang1991@gmail.com", "Abstract", "Presentations are critical for communication in all areas of our lives, yet the creation of slide decks is often tedious and time-consuming.", "The...
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[ "Sarik Ghazarian, 1 Nuan Wen, 1 Aram Galstyan, 1 Nanyun Peng 1, 2 1 University of Southern California / Information Sciences Institute 2 Computer Science Department of University of California, Los Angeles {sarik, nuanwen, galstyan}@isi.edu, violetpeng@cs.ucla.edu", "Abstract Automatic evaluation metrics are esse...
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[ "Current event-centric knowledge graphs highly rely on explicit connectives to mine relations between events.", "Unfortunately, due to the sparsity of connectives, these methods severely undermine the coverage of EventKGs.", "The lack of high-quality labelled corpora further exacerbates that problem.", "In th...
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[ "Widespread adoption of deep models has motivated a pressing need for approaches to interpret network outputs and to facilitate model debugging.", "Instance attribution methods constitute one means of accomplishing these goals by retrieving training instances that (may have) led to a particular prediction.", "I...
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[ "Existing automatic evaluation systems of chatbots mostly rely on static chat scripts as ground truth, which is hard to obtain, and requires access to the models of the bots as a form of white-box testing.", "Interactive evaluation mitigates this problem but requires human involvement.", "In our work, we propos...
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[ "When pre-trained contextualized embedding-based models developed for unstructured data are adapted for structured tabular data, they perform admirably.", "However, recent probing studies show that these models use spurious correlations, and often predict inference labels by focusing on false evidence or ignoring...
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[ "The advent of contextual word embeddings representations of words which incorporate semantic and syntactic information from their contexthas led to tremendous improvements on a wide variety of NLP tasks.", "However, recent contextual models have prohibitively high computational cost in many use-cases and are oft...
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[ "Inferring social relations from dialogues is vital for building emotionally intelligent robots to interpret human language better and act accordingly.", "We model the social network as an And-or Graph, named SocAoG, for the consistency of relations among a group and leveraging attributes as inference cues.", "...
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[ "Neural machine translation systems tend to fail on less decent inputs despite its significant ef-ficacy, which may significantly harm the credibility of these systemsfathoming how and when neural-based systems fail in such cases is critical for industrial maintenance.", "Instead of collecting and analyzing bad c...
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[ "Reports of personal experiences or stories can play a crucial role in argumentation, as they represent an immediate and (often) relatable way to back up one's position with respect to a given topic.", "They are easy to understand and increase empathy: this makes them powerful in argumentation.", "The impact of...
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[ "We present a simple yet effective approach to build multilingual speech-to-text (ST) translation through efficient transfer learning from a pretrained speech encoder and text decoder.", "Our key finding is that a minimalistic LNA ( L ayer N orm and A ttention) finetuning can achieve zero-shot crosslingual and cr...
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[ "Abstract Pre-training of text and layout has proved effective in a variety of visually-rich document understanding tasks due to its effective model architecture and the advantage of large-scale unlabeled scanned/digital-born documents.", "We propose LayoutLMv2 architecture with new pre-training tasks to model th...
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[ "Sentence representation (SR) is the most crucial and challenging task in Machine Reading Comprehension (MRC).", "MRC systems typically only utilize the information contained in the sentence itself, while human beings can leverage their semantic knowledge.", "To bridge the gap, we proposed a novel Frame-based S...
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[ "The #MeToo movement on social media platforms initiated discussions over several facets of sexual harassment in our society.", "Prior work by the NLP community for automated identification of the narratives related to sexual abuse disclosures barely explored this social phenomenon as an independent task.", "Ho...
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[ "When scaled to hundreds of billions of parameters, pretrained language models such as GPT-3 (Brown et al., 2020) achieve remarkable few-shot performance.", "However, enormous amounts of compute are required for training and applying such big models, resulting in a large carbon footprint and making it difficult f...
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[ "We present the task of Spatio-Temporal Video Question Answering, which requires intelligent systems to simultaneously retrieve relevant moments and detect referenced visual concepts (people and objects) to answer natural language questions about videos.", "We first augment the TVQA dataset with 310.8K bounding b...
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[ "Kundan Krishna Adobe Research kunkrish@adobe.com", "Adobe Research balsrini@adobe.com", "Abstract", "Summarizing a document requires identifying the important parts of the document with an objective of providing a quick overview to a reader.", "However, a long article can span several topics and a single s...
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[ "In this paper, we trace the history of neural networks applied to natural language understanding tasks, and identify key contributions which the nature of language has made to the development of neural network architectures.", "We focus on the importance of variable binding and its instantiation in attention-bas...
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[ "Commonly adopted metrics for extractive summarization focus on lexical overlap at the token level.", "In this paper, we present a facet-aware evaluation setup for better assessment of the information coverage in extracted summaries.", "Specifically, we treat each sentence in the reference summary as a facet , ...
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[ "Xin Xin , Jinlong Li School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China BJ ER Center of HVLIPCCA, BIT, Beijing, China { xxin,jllee } @bit.edu.cn", "Zeqi Tan Zhejiang University, Hangzhou, China zqtan@zju.edu.cn", "Abstract In this paper, we study the task of graph-based ...
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[ "By design, word embeddings are unable to model the dynamic nature of words' semantics, i.e., the property of words to correspond to potentially different meanings.", "To address this limitation, dozens of specialized meaning representation techniques such as sense or contextualized embeddings have been proposed....
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[ "The task of retrieving clips within videos based on a given natural language query requires cross-modal reasoning over multiple frames.", "Prior approaches such as sliding window classifiers are inefficient, while text-clip similarity driven ranking-based approaches such as segment proposal networks are far more...
[ "abstain", "abstain", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "result", "objective", "method", "method", "abstain", "method", "abstain", "...
[ "Due to its great importance in deep natural language understanding and various down-stream applications, text-level parsing of discourse rhetorical structure (DRS) has been drawing more and more attention in recent years.", "However, all the previous studies on text-level discourse parsing adopt bottom-up approa...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "other", "other", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "objective", "objective", "objective", "objective"...
[ "Many high-level procedural tasks can be decomposed into sequences of instructions that vary in their order and choice of tools.", "In the cooking domain, the web offers many partially-overlapping text and video recipes (i.e. procedures) that describe how to make the same dish (i.e. high-level task).", "Alignin...
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[ "Shujian Huang Shuming Shi Jiajun Chen 1 National Key Laboratory for Novel Software Technology, Nanjing University, China Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing 2", "Abstract Interactive neural machine translation (INMT) is able to guarantee high-quality transl...
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[ "Prior work infers the causation between events mainly based on the knowledge induced from the annotated causal event pairs.", "However, additional evidence information intermediate to the cause and effect remains unexploited.", "By incorporating such information, the logical law behind the causality can be unv...
[ "abstain", "abstain", "abstain", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "other", "method", "abstain", "result...
[ "Partha Talukdar 2", "Abstract Pre-trained multilingual language models such as mBERT and XLM-R have demonstrated great potential for zero-shot cross-lingual transfer to low web-resource languages (LRL).", "However, due to limited model capacity, the large difference in the sizes of available monolingual corpo...
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[ "Recent progress in language modeling has been driven not only by advances in neural architectures, but also through hardware and optimization improvements.", "In this paper, we revisit the neural probabilistic language model (NPLM) of Bengio et al. (2003), which simply concatenates word embeddings within a fixed...
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[ "News recommendation is an important technique for personalized news service.", "Compared with product and movie recommendations which have been comprehensively studied, the research on news recommendation is much more limited, mainly due to the lack of a high-quality benchmark dataset.", "In this paper, we pre...
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[ "Neural network-based sequence-to-sequence (seq2seq) models strongly suffer from the low-diversity problem when it comes to open-domain dialogue generation.", "As bland and generic utterances usually dominate the frequency distribution in our daily chitchat, avoiding them to generate more interesting responses re...
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[ "Concept-to-text Natural Language Generation is the task of expressing an input meaning representation in natural language.", "Previous approaches in this task have been able to generalise to rare or unseen instances by relying on a delexicalisation of the input.", "However, this often requires that the input a...
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[ "In recent years, a new interesting task, called emotion-cause pair extraction (ECPE), has emerged in the area of text emotion analysis.", "It aims at extracting the potential pairs of emotions and their corresponding causes in a document.", "To solve this task, the existing research employed a two-step framewo...
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[ "Emotion-controllable response generation is an attractive and valuable task that aims to make open-domain conversations more empathetic and engaging.", "Existing methods mainly enhance the emotion expression by adding regularization terms to standard cross-entropy loss and thus influence the training process.", ...
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[ "Few-shot Named Entity Recognition (NER) exploits only a handful of annotations to identify and classify named entity mentions.", "Prototypical network shows superior performance on few-shot NER.", "However, existing prototypical methods fail to differentiate rich semantics in other-class words, which will aggr...
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[ "Open-domain question answering can be formulated as a phrase retrieval problem, in which we can expect huge scalability and speed benefit but often suffer from low accuracy due to the limitation of existing phrase representation models.", "In this paper, we aim to improve the quality of each phrase embedding by ...
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[ "Most of privacy protection studies for textual data focus on removing explicit sensitive identifiers.", "However, personal writing style, as a strong indicator of the authorship, is often neglected.", "Recent studies, such as SynTF, have shown promising results on privacy-preserving text mining.", "However, ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Languages with productive morphology pose problems for language models that generate words from a fixed vocabulary.", "Although character-based models allow any possible word type to be generated, they are linguistically nave: they must discover that words exist and are delimited by spacesbasic linguistic facts ...
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[ "State-of-the-art abstractive summarization models generally rely on extensive labeled data, which lowers their generalization ability on domains where such data are not available.", "In this paper, we present a study of domain adaptation for the abstractive summarization task across six diverse target domains in...
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[ "Behavior of deep neural networks can be inconsistent between different versions.", "Regressions 1 during model update are a common cause of concern that often over-weigh the benefits in accuracy or efficiency gain.", "This work focuses on quantifying, reducing and analyzing regression errors in the NLP model u...
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[ "Entity embeddings, which represent different aspects of each entity with a single vector like word embeddings, are a key component of neural entity linking models.", "Existing entity embeddings are learned from canonical Wikipedia articles and local contexts surrounding target entities.", "Such entity embeddin...
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[ "Abstract", "Generating a readable summary that describes the functionality of a program is known as source code summarization.", "In this task, learning code representation by modeling the pairwise relationship between code tokens to capture their long-range dependencies is crucial.", "To learn code represen...
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[ "Recent developments in Neural Relation Extraction (NRE) have made significant strides towards automated knowledge base construction.", "While much attention has been dedicated towards improvements in accuracy, there have been no attempts in the literature to evaluate social biases exhibited in NRE systems.", "...
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[ "Authorship verification is the problem of inferring whether two texts were written by the same author.", "For this task, unmasking is one of the most robust approaches as of today with the major shortcoming of only being applicable to book-length texts.", "In this paper, we present a generalized unmasking appr...
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[ "Structured information is an important knowledge source for automatic verification of factual claims.", "Nevertheless, the majority of existing research into this task has focused on textual data, and the few recent inquiries into structured data have been for the closed-domain setting where appropriate evidence...
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[ "Product reviews contain a large number of implicit aspects and opinions.", "However, most of the existing studies in aspect-based sentiment analysis ignored this problem.", "In this work, we introduce a new task, named Aspect-Category-Opinion-Sentiment (ACOS) Quadruple Extraction, with the goal to extract all ...
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[ "Automated systems that negotiate with humans have broad applications in pedagogy and conversational AI.", "To advance the development of practical negotiation systems, we present CaSiNo: a novel corpus of over a thousand negotiation dialogues in English.", "Participants take the role of campsite neighbors and ...
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[ "We address relation extraction as an analogy problem by proposing a novel approach to learn representations of relations expressed by their textual mentions.", "In our assumption, if two pairs of entities belong to the same relation, then those two pairs are analogous.", "Following this idea, we collect a larg...
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[ "The ability to match pieces of code to their corresponding natural language descriptions and vice versa is fundamental for natural language search interfaces to software repositories.", "In this paper, we propose a novel multi-perspective cross-lingual neural framework for codetext matching, inspired in part by ...
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[ "Today's text classifiers inevitably suffer from unintended dataset biases , especially the document-level label bias and word-level keyword bias , which may hurt models' generalization.", "Many previous studies employed data-level manipulations or model-level balancing mechanisms to recover unbiased distribution...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "Explaining neural network models is important for increasing their trustworthiness in real-world applications.", "Most existing methods generate post-hoc explanations for neural network models by identifying individual feature attributions or detecting interactions between adjacent features.", "However, for mo...
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[ "Abstract Continual learning has gained increasing attention in recent years, thanks to its biological interpretation and efficiency in many real-world applications.", "As a typical task of continual learning, continual relation extraction (CRE) aims to extract relations between entities from texts, where the sam...
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[ "Vision language navigation is the task that requires an agent to navigate through a 3D environment based on natural language instructions.", "One key challenge in this task is to ground instructions with the current visual information that the agent perceives.", "Most of the existing work employs soft attentio...
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[ "Microsoft Azure AI wzchen@microsoft.com", "Abstract Model ensemble is a popular approach to produce a low-variance and well-generalized model.", "However, it induces large memory and inference costs, which are often not affordable for real-world deployment.", "Existing work has resorted to sharing weights am...
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[ "This paper is a theoretical contribution to the debate on the learnability of syntax from a corpus without explicit syntax-specific guidance.", "Our approach originates in the observable structure of a corpus, which we use to define and isolate grammaticality (syntactic information) and meaning/pragmatics inform...
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[ "Personalization of natural language generation plays a vital role in a large spectrum of tasks, such as explainable recommendation, review summarization and dialog systems.", "In these tasks, user and item IDs are important identi-fiers for personalization.", "Transformer, which is demonstrated with strong lan...
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[ "Recently, various neural models for multiparty conversation (MPC) have achieved impressive improvements on a variety of tasks such as addressee recognition, speaker identification and response prediction.", "However, these existing methods on MPC usually represent interlocutors and utterances individually and ig...
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[ "The idea of subword-based word embeddings has been proposed in the literature, mainly for solving the out-of-vocabulary (OOV) word problem observed in standard word-based word embeddings.", "In this paper, we propose a method of reconstructing pre-trained word embeddings using subword information that can effect...
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[ "Text classification is fundamental in natural language processing (NLP), and Graph Neural Networks (GNN) are recently applied in this task.", "However, the existing graph-based works can neither capture the contextual word relationships within each document nor fulfil the inductive learning of new words.", "In...
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[ "Many recent approaches towards neural information retrieval mitigate their computational costs by using a multi-stage ranking pipeline.", "In the first stage, a number of potentially relevant candidates are retrieved using an efficient retrieval model such as BM25.", "Although BM25 has proven decent performanc...
[ "abstain", "abstain", "abstain", "objective", "result", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "objective", "abstain", "objective", "method", "objective", "objective", "abstain", "object...
[ "Neural lexicalized PCFGs (L-PCFGs) (Zhu et al., 2020) have been shown effective in grammar induction.", "However, to reduce computational complexity, they make a strong independence assumption on the generation of the child word and thus bilexical dependencies are ignored.", "In this paper, we propose an appro...
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[ "Large-scale models for learning fixed-dimensional cross-lingual sentence representations like LASER (Artetxe and Schwenk, 2019b) lead to significant improvement in performance on downstream tasks.", "However, further increases and modifications based on such large-scale models are usually impractical due to memo...
[ "abstain", "abstain", "method", "objective", "objective", "objective", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "result", "method", "abstain", "abstain", "abstain", "method", "abstain", "method", "method", "m...
[ "Estimating label proportions in a target corpus is a type of measurement that is useful for answering certain types of social-scientific questions.", "While past work has described a number of relevant approaches, nearly all are based on an assumption which we argue is invalid for many problems, particularly whe...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "method", "method", "abstain", "result", "other", "abstain", "abstain", "result", "method", "method", "abstain", "abstain", "method", "method", "abstain", ...
[ "Although models using contextual word embeddings have achieved state-of-the-art results on a host of NLP tasks, little is known about exactly what information these embeddings encode about the context words that they are understood to reflect.", "To address this question, we introduce a suite of probing tasks th...
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[ "Successful methods for unsupervised neural machine translation ( UNMT ) employ cross-lingual pretraining via self-supervision, often in the form of a masked language modeling or a sequence generation task, which requires the model to align the lexicaland high-level representations of the two languages.", "While ...
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[ "Despite the progress made in sentence-level NMT, current systems still fall short at achieving fluent, good quality translation for a full document.", "Recent works in context-aware NMT consider only a few previous sentences as context and may not scale to entire documents.", "To this end, we propose a novel a...
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[ "We propose a framework for training non-autoregressive sequence-to-sequence models for editing tasks, where the original input sequence is iteratively edited to produce the output.", "We show that the imitation learning algorithms designed to train such models for machine translation introduces mismatches betwee...
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[ "We propose an automatic evaluation method of machine translation that uses source language sentences regarded as additional pseudo references.", "The proposed method evaluates a translation hypothesis in a regression model.", "The model takes the paired source, reference, and hypothesis sentence all together a...
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[ "To perform well on a machine reading comprehension (MRC) task, machine readers usually require commonsense knowledge that is not explicitly mentioned in the given documents.", "This paper aims to extract a new kind of structured knowledge from scripts and use it to improve MRC.", "We focus on scripts as they c...
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[ "Recent studies strive to incorporate various human rationales into neural networks to improve model performance, but few pay attention to the quality of the rationales.", "Most existing methods distribute their models' focus to distantly-labeled rationale words entirely and equally, while ignoring the potential ...
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[ "We present the first exploration of meaning shift over short periods of time in online communities using distributional representations.", "We create a small annotated dataset and use it to assess the performance of a standard model for meaning shift detection on short-term meaning shift.", "We find that the m...
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[ "We propose the task of unsupervised morphological paradigm completion .", "Given only raw text and a lemma list, the task consists of generating the morphological paradigms, i.e., all inflected forms, of the lemmas.", "From a natural language processing (NLP) perspective, this is a challenging unsupervised tas...
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[ "Transformer-based language models such as BERT (Devlin et al., 2018) have achieved the state-of-the-art performance on various NLP tasks, but are computationally prohibitive.", "A recent line of works use various heuristics to successively shorten sequence length while transforming tokens through encoders, in ta...
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[ "While automatic term extraction is a well-researched area, computational approaches to distinguish between degrees of technicality are still understudied.", "We semi-automatically create a German gold standard of technicality across four domains, and illustrate the im-pact of a web-crawled general-language corpu...
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[ "We introduce a novel approach to transformers that learns hierarchical representations in multiparty dialogue.", "First, three language modeling tasks are used to pre-train the transformers, tokenand utterance-level language modeling and utterance order prediction, that learn both token and utterance embeddings ...
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[ "We present an efficient annotation framework for argument quality, a feature difficult to be measured reliably as per previous work.", "A stochastic transitivity model is combined with an effective sampling strategy to infer high-quality labels with low effort from crowdsourced pairwise judgments.", "The model...
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[ "We introduce SCDE, a dataset to evaluate the performance of computational models through sentence prediction.", "SCDE is a human-created sentence cloze dataset, collected from public school English examinations.", "Our task requires a model to fill up multiple blanks in a passage from a shared candidate set wi...
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