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naacl_data_prog

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[ "Grammatical Error Correction (GEC) has been recently modeled using the sequence-to-sequence framework.", "However, unlike sequence transduction problems such as machine translation, GEC suffers from the lack of plentiful parallel data.", "We describe two approaches for generating large parallel datasets for GE...
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[ "We present a novel approach to the problem of text style transfer.", "Unlike previous approaches requiring style-labeled training data, our method makes use of readily-available unlabeled text by relying on the implicit connection in style between adjacent sentences, and uses labeled data only at inference time....
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[ "We show that explicit pragmatic inference aids in correctly generating and following natural language instructions for complex, sequential tasks.", "Our pragmatics-enabled models reason about why speakers produce certain instructions, and about how listeners will react upon hearing them.", "Like previous pragm...
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[ "Neural models have shown impressive performance gains in answering queries from natural language text.", "However, existing works are unable to support database queries, such as List/Count all female athletes who were born in 20th century , which require reasoning over sets of relevant facts with operations suc...
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[ "Research in stance detection has so far focused on models which leverage purely textual input.", "In this paper, we investigate the integration of textual and financial signals for stance detection in the financial domain.", "Specifically, we propose a robust multi-task neural architecture that combines textua...
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[ "Huge volumes of patient queries are daily generated on online health forums, rendering manual doctor allocation a labor-intensive task.", "To better help patients, this paper studies a novel task of doctor recommendation to enable automatic pairing of a patient to a doctor with relevant expertise.", "While mos...
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[ "Recent studies show that neural natural language processing (NLP) models are vulnerable to backdoor attacks.", "Injected with backdoors, models perform normally on benign examples but produce attacker-specified predictions when the backdoor is activated, presenting serious security threats to real-world applicat...
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[ "Visual features are a promising signal for learning bootstrap textual models.", "However, black-box learning models make it difficult to isolate the specific contribution of visual components.", "In this analysis, we consider the case study of the Visually Grounded Neural Syntax Learner (Shi et al., 2019), a r...
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[ "Fact-checking is an essential tool to mitigate the spread of misinformation and disinformation.", "We introduce the task of fact-checking in dialogue, which is a relatively unexplored area.", "We construct DIALFACT , a testing benchmark dataset of 22,245 annotated conversational claims, paired with pieces of e...
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[ "Despite the impressive successes of generation and dialogue systems, how to endow a text generation system with particular personality traits to deliver more personalized responses remains under-investigated.", "In this work, we look at how to generate personalized responses for questions on Reddit by utilizing ...
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[ "We study few-shot learning in natural language domains.", "Compared to many existing works that apply either metric-based or optimization-based meta-learning to image domain with low inter-task variance, we consider a more realistic setting, where tasks are diverse.", "However, it imposes tremendous diffi-cult...
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[ "In many documents, such as semi-structured webpages, textual semantics are augmented with additional information conveyed using visual elements including layout, font size, and color.", "Prior work on information extraction from semi-structured websites has required learning an extraction model specific to a giv...
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[ "Large-scale pretrained language models are the major driving force behind recent improvements in performance on the Winograd Schema Challenge, a widely employed test of commonsense reasoning ability.", "We show, however, with a new diagnostic dataset, that these models are sensitive to linguistic perturbations o...
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[ "Keyphrase generation (KG) aims to summarize the main ideas of a document into a set of keyphrases.", "A new setting is recently introduced into this problem, in which, given a document, the model needs to predict a set of keyphrases and simultaneously determine the appropriate number of keyphrases to produce.", ...
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[ "Linking pronominal expressions to the correct references requires, in many cases, better analysis of the contextual information and external knowledge.", "In this paper, we propose a two-layer model for pronoun coreference resolution that leverages both context and external knowledge, where a knowledge attention...
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[ "Fine-tuning of pre-trained transformer models has become the standard approach for solving common NLP tasks (Devlin et al., 2019).", "Most of the existing approaches rely on a randomly initialized classifier on top of such networks.", "We argue that this fine-tuning procedure is sub-optimal as the pre-trained ...
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[ "Sequence labeling systems should perform reliably not only under ideal conditions but also with corrupted inputsas these systems often process user-generated text or follow an error-prone upstream component.", "To this end, we formulate the noisy sequence labeling problem, where the input may undergo an unknown ...
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[ "This work explores techniques to predict Part-of-Speech (PoS) tags from neural signals measured at millisecond resolution with electroencephalography (EEG) during text reading.", "We show that information about word length, frequency and word class is encoded by the brain at different post-stimulus latencies.", ...
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[ "Aspect Sentiment Triplet Extraction (ASTE) is an emerging sentiment analysis task.", "Most of the existing studies focus on devising a new tagging scheme that enables the model to extract the sentiment triplets in an end-to-end fashion.", "However, these methods ignore the relations between words for ASTE task...
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[ "Over the last few years two promising research directions in low-resource neural machine translation (NMT) have emerged.", "The first focuses on utilizing high-resource languages to improve the quality of low-resource languages via multilingual NMT.", "The second direction employs monolingual data with self-su...
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[ "Recent parameter-efficient language model tuning (PELT) methods manage to match the performance of fine-tuning with much fewer trainable parameters and perform especially well when training data is limited.", "However, different PELT methods may perform rather differently on the same task, making it nontrivial t...
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[ "Opinion entity extraction is a fundamental task in fine-grained opinion mining.", "Related studies generally extract aspects and/or opinion expressions without recognizing the relations between them.", "However, the relations are crucial for downstream tasks, including sentiment classification, opinion summari...
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[ "Abstractive summarisation is notoriously hard to evaluate since standard word-overlap-based metrics are biased towards specific words in the human reference.", "We introduce a new evaluation metric which abstracts away from the word-level and instead is based on fact-level content weighting, i.e. relating the fa...
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[ "With the development of biomedical language understanding benchmarks, Artificial Intelligence applications are widely used in the medical field.", "However, most benchmarks are limited to English, which makes it challenging to replicate many of the successes in English for other languages.", "To facilitate res...
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[ "We study how masking and predicting tokens in an unsupervised fashion can give rise to linguistic structures and downstream performance gains.", "Recent theories have suggested that pretrained language models acquire useful inductive biases through masks that implicitly act as cloze reductions.", "While appeal...
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[ "Self-attention mechanism has been shown to be an effective approach for capturing global context dependencies in sequence modeling, but it suffers from quadratic complexity in time and memory usage.", "Due to the sparsity of the attention matrix, much computation is redundant.", "Therefore, in this paper, we d...
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[ "Collaborative filtering (CF) is a core technique for recommender systems.", "Traditional CF approaches exploit user-item relations (e.g., clicks, likes, and views) only and hence they suffer from the data sparsity issue.", "Items are usually associated with unstructured text such as article abstracts and produ...
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[ "We present data and methods that enable a supervised learning approach to Open Information Extraction (Open IE).", "Central to the approach is a novel formulation of Open IE as a sequence tagging problem, addressing challenges such as encoding multiple extractions for a predicate.", "We also develop a bi-LSTM ...
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[ "Neural sequence-to-sequence models are currently the dominant approach in several natural language processing tasks, but require large parallel corpora.", "We present a sequence-to-sequence-to-sequence autoencoder ( SEQ 3 ), consisting of two chained encoder-decoder pairs, with words used as a sequence of discre...
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[ "We propose neural models to generate text from formal meaning representations based on Discourse Representation Structures (DRSs).", "DRSs are document-level representations which encode rich semantic detail pertaining to rhetorical relations, presupposition, and co-reference within and across sentences.", "We...
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[ "Character-level information is included in many NLP models, but evaluating the information encoded in character representations is an open issue.", "We leverage perceptual representations in the form of shape, sound, and color embeddings and perform a representational similarity analysis to evaluate their correl...
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[ "Neural Networks trained with gradient descent are known to be susceptible to catastrophic forgetting caused by parameter shift during the training process.", "In the context of Neural Machine Translation (NMT) this results in poor performance on heterogeneous datasets and on sub-tasks like rare phrase translatio...
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[ "Word identification from continuous input is typically viewed as a segmentation task.", "Experiments with human adults suggest that familiarity with syntactic structures in their native language also influences word identification in artificial languages; however, the relation between syntactic processing and wo...
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[ "We present a robust neural abstractive summarization system for cross-lingual summarization.", "We construct summarization corpora for documents automatically translated from three low-resource languages, Somali, Swahili, and Tagalog, using machine translation and the New York Times summarization corpus.", "We...
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[ "Current Open-Domain Question Answering (ODQA) models typically include a retrieving module and a reading module, where the retriever selects potentially relevant passages from open-source documents for a given question, and the reader produces an answer based on the retrieved passages.", "The recently proposed F...
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[ "In knowledge graph embedding, the theoretical relationship between the softmax cross-entropy and negative sampling loss functions has not been investigated.", "This makes it difficult to fairly compare the results of the two different loss functions.", "We attempted to solve this problem by using the Bregman d...
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[ "To capture salient contextual information for spoken language understanding (SLU) of a dialogue, we propose time-aware models that automatically learn the latent time-decay function of the history without a manual time-decay function.", "We also propose a method to identify and label the current speaker to impro...
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[ "We introduce CaMEL ( Ca se M arker E xtraction without L abels), a novel and challenging task in computational morphology that is especially relevant for low-resource languages.", "We propose a first model for CaMEL that uses a massively multilingual corpus to extract case markers in 83 languages based only on a...
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[ "A large body of research into semantic textual similarity has focused on constructing state-of-the-art embeddings using sophisticated modelling, careful choice of learning signals and many clever tricks.", "By contrast, little attention has been devoted to similarity measures between these embeddings, with cosin...
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[ "Writing is, by nature, a strategic, adaptive, and more importantly, an iterative process.", "A crucial part of writing is editing and revising the text.", "Previous works on text revision have focused on defining edit intention taxonomies within a single domain or developing computational models with a single ...
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[ "Transformers (Vaswani et al., 2017) have gradually become a key component for many state-of-the-art natural language representation models.", "A recent Transformer based modelBERT (Devlin et al., 2018) achieved state-of-the-art results on various natural language processing tasks, including GLUE, SQuAD v1.1, and...
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[ "Abstract Contextual word representations derived from large-scale neural language models are successful across a diverse set of NLP tasks, suggesting that they encode useful and transferable features of language.", "To shed light on the linguistic knowledge they capture, we study the representations produced by ...
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[ "Despite the success of sequence-to-sequence (seq2seq) models in semantic parsing, recent work has shown that they fail in compositional generalization , i.e., the ability to generalize to new structures built of components observed during training.", "In this work, we posit that a span-based parser should lead t...
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[ "Multilingual topic models enable document analysis across languages through coherent multilingual summaries of the data.", "However, there is no standard and effective metric to evaluate the quality of multilingual topics.", "We introduce a new intrinsic evaluation of multilingual topic models that correlates ...
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[ "Visual modifications to text are often used to obfuscate offensive comments in social media (e.g., !d10t) or as a writing style (1337 in leet speak), among other scenarios.", "We consider this as a new type of adversarial attack in NLP, a setting to which humans are very robust, as our experiments with both simp...
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[ "Few-shot crosslingual transfer has been shown to outperform its zero-shot counterpart with pretrained encoders like multilingual BERT.", "Despite its growing popularity, little to no attention has been paid to standardizing and analyzing the design of few-shot experiments.", "In this work, we highlight a funda...
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[ "Recent years have seen numerous NLP datasets introduced to evaluate the performance of fine-tuned models on natural language understanding tasks.", "Recent results from large pretrained models, though, show that many of these datasets are largely saturated and unlikely to be able to detect further progress.", ...
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[ "Question Answering (QA) is in increasing demand as the amount of information available online and the desire for quick access to this content grows.", "A common approach to QA has been to fine-tune a pretrained language model on a task-specific labeled dataset.", "This paradigm, however, relies on scarce, and ...
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[ "The sentence is a fundamental unit of text processing.", "Yet sentences in the wild are commonly encountered not in isolation, but unsegmented within larger paragraphs and documents.", "Therefore, the first step in many NLP pipelines is sentence segmentation .", "Despite its importance, this step is the subj...
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[ "Concept normalization, the task of linking textual mentions of concepts to concepts in an ontology, is challenging because ontologies are large.", "In most cases, annotated datasets cover only a small sample of the concepts, yet concept normalizers are expected to predict all concepts in the ontology.", "In th...
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[ "Recent studies have shown that multilingual pretrained language models can be effectively improved with cross-lingual alignment information from Wikipedia entities.", "However, existing methods only exploit entity information in pretraining and do not explicitly use entities in downstream tasks.", "In this stu...
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[ "This work investigates the use of interactively updated label suggestions to improve upon the efficiency of gathering annotations on the task of opinion mining in German Covid-19 social media data.", "We develop guidelines to conduct a controlled annotation study with social science students and find that sugges...
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[ "Ad hominem attacks are those that target some feature of a person's character instead of the position the person is maintaining.", "These attacks are harmful because they propagate implicit biases and diminish a person's credibility.", "Since dialogue systems respond directly to user input, it is important to ...
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[ "Multilingual neural machine translation aims at learning a single translation model for multiple languages.", "These jointly trained models often suffer from performance degradation on rich-resource language pairs.", "We attribute this degeneration to parameter interference.", "In this paper, we propose LaSS...
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[ "Analyzing language in context, both from a theoretical and from a computational perspective, is receiving increased interest.", "Complementing the research in linguistics on discourse and information structure, in computational linguistics identifying discourse concepts was also shown to improve the performance ...
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[ "Neural image-to-text radiology report generation systems offer the potential to improve radiology reporting by reducing the repetitive process of report drafting and identifying possible medical errors.", "However, existing report generation systems, despite achieving high performances on natural language genera...
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[ "Word alignment was once a core unsupervised learning task in natural language processing because of its essential role in training statistical machine translation (MT) models.", "Although unnecessary for training neural MT models, word alignment still plays an important role in interactive applications of neural...
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[ "Non-autoregressive (NAR) models generate all the tokens of a sequence in parallel, resulting in faster generation speed compared to their autoregressive (AR) counterparts but at the cost of lower accuracy.", "Different techniques including knowledge distillation and source-target alignment have been proposed to ...
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[ "In this paper, we study Multimodal Named Entity Recognition (MNER) for social media posts.", "Existing approaches for MNER mainly suffer from two drawbacks: (1) despite generating word-aware visual representations, their word representations are insensitive to the visual context; (2) most of them ignore the bias...
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[ "There are common semantics shared across text and images.", "Given a sentence in a source language, whether depicting the visual scene helps translation into a target language?", "Existing multimodal neural machine translation methods (MNMT) require triplets of bilingual sentence image for training and tuples ...
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[ "Yu Lu 1,2 , Jiali Zeng 3 , Jiajun Zhang 1,2 , Shuangzhi Wu 3 and Mu Li 3 1 National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 3 Tencent Cloud Xiaowei, Beijing, China { yu.lu, jjzhang...
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[ "High-quality phrase representations are essential to finding topics and related terms in documents (a.k.a. topic mining).", "Existing phrase representation learning methods either simply combine unigram representations in a context-free manner or rely on extensive annotations to learn context-aware knowledge.", ...
[ "abstain", "abstain", "objective", "abstain", "abstain", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "objective", ...
[ "Grammatical Error Correction (GEC) aims to correct writing errors and help language learners improve their writing skills.", "However, existing GEC models tend to produce spurious corrections or fail to detect lots of errors.", "The quality estimation model is necessary to ensure learners get accurate GEC resu...
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[ "We propose a method to learn contextualized and generalized sentence representations using contrastive self-supervised learning.", "In the proposed method, a model is given a text consisting of multiple sentences.", "One sentence is randomly selected as a target sentence.", "The model is trained to maximize ...
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[ "Question-answer driven Semantic Role Labeling (QA-SRL) was proposed as an attractive open and natural flavour of SRL, potentially attainable from laymen.", "Recently, a large-scale crowdsourced QA-SRL corpus and a trained parser were released.", "Trying to replicate the QA-SRL annotation for new texts, we foun...
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[ "Historical linguists have identified regularities in the process of historic sound change.", "The comparative method utilizes those regularities to reconstruct proto-words based on observed forms in daughter languages.", "Can this process be efficiently automated?", "We address the task of proto-word reconst...
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[ "Transformer has achieved great success in the NLP field by composing various advanced models like BERT and GPT.", "However, Transformer and its existing variants may not be optimal in capturing token distances because the position or distance embeddings used by these methods usually cannot keep the precise infor...
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[ "Existing dialogue corpora and models are typically designed under two disjoint motives: while task-oriented systems focus on achieving functional goals (e.g., booking hotels), open-domain chatbots aim at making socially engaging conversations.", "In this work, we propose to integrate both types of systems by Add...
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[ "Cross-lingual transfer has improved greatly through multi-lingual language model pretraining, reducing the need for parallel data and increasing absolute performance.", "However, this progress has also brought to light the differences in performance across languages.", "Specifically, certain language families ...
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[ "Bragging is a speech act employed with the goal of constructing a favorable self-image through positive statements about oneself.", "It is widespread in daily communication and especially popular in social media, where users aim to build a positive image of their persona directly or indirectly.", "In this pape...
[ "abstain", "abstain", "objective", "objective", "method", "abstain", "abstain", "result", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "ab...
[ "An increasing number of natural language processing papers address the effect of bias on predictions, introducing mitigation techniques at different parts of the standard NLP pipeline (data and models).", "However, these works have been conducted individually, without a unifying framework to organize efforts wit...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "ab...
[ "News editorials argue about political issues in order to challenge or reinforce the stance of readers with different ideologies.", "Previous research has investigated such persuasive effects for argumentative content .", "In contrast, this paper studies how important the style of news editorials is to achieve ...
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[ "We compare three new datasets for question answering: SQuAD 2.0, QuAC, and CoQA, along several of their new features: (1) unanswerable questions, (2) multi-turn interactions, and (3) abstractive answers.", "We show that the datasets provide complementary coverage of the first two aspects, but weak coverage of th...
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[ "The task of Natural Language Inference (NLI) is widely modeled as supervised sentence pair classification.", "While there has been a lot of work recently on generating explanations of the predictions of classifiers on a single piece of text, there have been no attempts to generate explanations of classifiers ope...
[ "abstain", "abstain", "objective", "method", "method", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "other", "abstain", "abstain", "abstain", "result", "method", "method", "result", "result", "method",...
[ "Generating open-domain conversational responses in the desired style usually suffers from the lack of parallel data in the style.", "Meanwhile, using monolingual stylistic data to increase style intensity often leads to the expense of decreasing content relevance.", "In this paper, we propose to disentangle th...
[ "abstain", "abstain", "objective", "abstain", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "abstain", "abstain", "ab...
[ "Simultaneous machine translation (SiMT) outputs translation while reading source sentence and hence requires a policy to decide whether to wait for the next source word (READ) or generate a target word (WRITE), the actions of which form a read/write path .", "Although the read/write path is essential to SiMT per...
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[ "Informal romanization is an idiosyncratic process used by humans in informal digital communication to encode non-Latin script languages into Latin character sets found on common keyboards.", "Character substitution choices differ between users but have been shown to be governed by the same main principles observ...
[ "abstain", "abstain", "objective", "method", "objective", "objective", "abstain", "other", "method", "abstain", "abstain", "abstain", "abstain", "other", "method", "objective", "objective", "method", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "ot...
[ "We present K nowledge Enhanced M ultimodal BART (KM-BART), which is a Transformer-based sequence-to-sequence model capable of reasoning about commonsense knowledge from multimodal inputs of images and texts.", "We adapt the generative BART architecture (Lewis et al., 2020) to a multimodal model with visual and t...
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[ "Building huge and highly capable language models has been a trend in the past years.", "Despite their great performance, they incur high computational cost.", "A common solution is to apply model compression or choose light-weight architectures, which often need a separate fixed-size model for each desirable c...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "result", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "absta...
[ "Question-answering plays an important role in e-commerce as it allows potential customers to actively seek crucial information about products or services to help their purchase decision making.", "Inspired by the recent success of machine reading comprehension (MRC) on formal documents, this paper explores the p...
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[ "Early exit mechanism aims to accelerate the inference speed of large-scale pre-trained language models.", "The essential idea is to exit early without passing through all the inference layers at the inference stage.", "To make accurate predictions for downstream tasks, the hierarchical linguistic information e...
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[ "Even to a simple and short news headline, readers react in a multitude of ways: cognitively (e.g. inferring the writer's intent), emotionally (e.g. feeling distrust), and behaviorally (e.g. sharing the news with their friends).", "Such reactions are instantaneous and yet complex, as they rely on factors that go ...
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[ "Recent approaches to question generation have used modifications to a Seq2Seq architecture inspired by advances in machine translation.", "Models are trained using teacher forcing to optimise only the one-step-ahead prediction.", "However, at test time, the model is asked to generate a whole sequence, causing ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "result", "objective", "abstain", "other", "other", "me...
[ "Natural language inference requires reasoning about contradictions, negations, and their commonsense implications.", "Given a simple premise (e.g., I'm mad at you), humans can reason about the varying shades of contradictory statements ranging from straightforward negations (I'm not mad at you) to commonsense co...
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[ "Training models to map natural language instructions to programs, given target world supervision only, requires searching for good programs at training time.", "Search is commonly done using beam search in the space of partial programs or program trees, but as the length of the instructions grows finding a good ...
[ "abstain", "abstain", "objective", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "objective", "objective", "objective", "result", "method", "result", "objective", "other", "other", "objective", ...
[ "Neural Machine Translation (NMT) models achieve state-of-the-art performance on many translation benchmarks.", "As an active research field in NMT, knowledge distillation is widely applied to enhance the model's performance by transferring teacher model's knowledge on each training sample.", "However, previous...
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[ "It has been shown that named entity recognition (NER) could benefit from incorporating the long-distance structured information captured by dependency trees.", "We believe this is because both types of features the contextual information captured by the linear sequences and the structured information captured b...
[ "abstain", "method", "abstain", "objective", "method", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "objective", "ab...
[ "Abstract In order to better understand the reason behind model behaviors (i.e., making predic-tions), most recent work has exploited generative models to provide complementary explanations.", "However, existing approaches in natural language processing (NLP) mainly focus on WHY A rather than contrastive WHY A NO...
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[ "This paper explores the problem of ranking short social media posts with respect to user queries using neural networks.", "Instead of starting with a complex architecture, we proceed from the bottom up and examine the effectiveness of a simple, word-level Siamese architecture augmented with attention-based mecha...
[ "objective", "objective", "result", "abstain", "other", "abstain", "abstain", "other", "abstain", "method", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "method", "abs...
[ "Traditional Key-value Memory Neural Networks (KV-MemNNs) are proved to be effective to support shallow reasoning over a collection of documents in domain specific Question Answering or Reading Comprehension tasks.", "However, extending KV-MemNNs to Knowledge Based Question Answering (KB-QA) is not trivia, which ...
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[ "Fine-grained entity typing (FGET) aims to classify named entity mentions into fine-grained entity types, which is meaningful for entity-related NLP tasks.", "For FGET, a key challenge is the low-resource problem the complex entity type hierarchy makes it difficult to manually label data.", "Especially for tho...
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[ "Dense retrieval has achieved impressive advances in first-stage retrieval from a large-scale document collection, which is built on bi-encoder architecture to produce single vector representation of query and document.", "However, a document can usually answer multiple potential queries from different views.", ...
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[ "Humor is an important social phenomenon, serving complex social and psychological functions.", "However, despite being studied for millennia humor is computationally not well understood, often considered an AI-complete problem.", "In this work, we introduce a novel setting in humor mining: automatically detect...
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[ "Podcasts have shown a recent rise in popularity.", "Summarization of podcasts is of practical benefit to both content providers and consumers.", "It helps people quickly decide whether they will listen to a podcast and/or reduces the cognitive load of content providers to write summaries.", "Nevertheless, po...
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[ "We propose a novel large-scale referring expression recognition dataset, Refer360, consisting of 17,137 instruction sequences and ground-truth actions for completing these instructions in 360 scenes.", "Refer360 differs from existing related datasets in three ways.", "First, we propose a more realistic scenari...
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[ "Automatic personalized corrective feedback can help language learners from different backgrounds better acquire a new language.", "This paper introduces a learner English dataset in which learner errors are accompanied by information about possible error sources.", "This dataset contains manually annotated err...
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[ "We demonstrate the surprising strength of unimodal baselines in multimodal domains, and make concrete recommendations for best practices in future research.", "Where existing work often compares against random or majority class baselines, we argue that unimodal approaches better capture and reflect dataset biase...
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[ "A growing number of state-of-the-art transfer learning methods employ language models pretrained on large generic corpora.", "In this paper we present a conceptually simple and effective transfer learning approach that addresses the problem of catastrophic forgetting.", "Specifically, we combine the task-speci...
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[ "Humans create things for a reason.", "Ancient people created spears for hunting, knives for cutting meat, pots for preparing food, etc.", "The prototypical function of a physical artifact is a kind of commonsense knowledge that we rely on to understand natural language.", "For example, if someone says She bo...
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[ "Building on Petroni et al. (2019), we propose two new probing tasks analyzing factual knowledge stored in Pretrained Language Models (PLMs).", "(1) Negation.", "We find that PLMs do not distinguish between negated (Birds cannot [MASK]) and non-negated (Birds can [MASK]) cloze questions.", "(2) Mispriming.", ...
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