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scim
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naacl_data_prog

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[ "We introduce a new type of deep contextualized word representation that models both (1) complex characteristics of word use (e.g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i.e., to model polysemy).", "Our word vectors are learned functions of the internal states of a deep bi...
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[ "There have been various types of pretraining architectures including autoencoding models (e.g., BERT), autoregressive models (e.g., GPT), and encoder-decoder models (e.g., T5).", "However, none of the pretraining frameworks performs the best for all tasks of three main categories including natural language under...
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[ "A recent study by Feldman (2020) proposed a long-tail theory to explain the memorization behavior of deep learning models.", "However, memorization has not been empirically verified in the context of NLP, a gap addressed by this work.", "In this paper, we use three different NLP tasks to check if the long-tail...
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[ "Few-shot NER needs to effectively capture information from limited instances and transfer useful knowledge from external resources.", "In this paper, we propose a self-describing mechanism for few-shot NER, which can effectively leverage illustrative instances and precisely transfer knowledge from external resou...
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[ "Recent work on training neural retrievers for open-domain question answering (OpenQA) has employed both supervised and unsupervised approaches.", "However, it remains unclear how unsupervised and supervised methods can be used most effectively for neural retrievers.", "In this work, we systematically study ret...
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[ "The de-facto standard decoding method for semantic parsing in recent years has been to autoregressively decode the abstract syntax tree of the target program using a top-down depth-first traversal.", "In this work, we propose an alternative approach: a Semi-autoregressive Bottom-up Parser (SMBOP) that constructs...
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[ "Recent advances in Named Entity Recognition (NER) show that document-level contexts can significantly improve model performance.", "In many application scenarios, however, such contexts are not available.", "In this paper, we propose to find external contexts of a sentence by retrieving and selecting a set of ...
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[ "Many NLP tasks such as tagging and machine reading comprehension (MRC) are faced with the severe data imbalance issue: negative examples significantly outnumber positive ones, and the huge number of easy-negative examples overwhelms training.", "The most commonly used cross entropy criteria is actually accuracy-...
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[ "Existing work on tabular representation-learning jointly models tables and associated text using self-supervised objective functions derived from pretrained language models such as BERT.", "While this joint pretraining improves tasks involving paired tables and text (e.g., answering questions about tables), we s...
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[ "The Hong Kong University of Science and Technology {sdiaoaa, rxuaq, tongzhang}@ust.hk The Chinese University of Hong Kong The Chinese University of Hong Kong (Shenzhen) Shenzhen Research Institute of Big Data songyan@cuhk.edu.cn", "Abstract Large pre-trained models such as BERT are known to improve different ...
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[ "Fine-tuning large pre-trained models with task-specific data has achieved great success in NLP.", "However, it has been demonstrated that the majority of information within the self-attention networks is redundant and not utilized effectively during the fine-tuning stage.", "This leads to inferior results when...
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[ "Deep neural networks and huge language models are becoming omnipresent in natural language applications.", "As they are known for requiring large amounts of training data, there is a growing body of work to improve the performance in low-resource settings.", "Motivated by the recent fundamental changes towards...
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[ "How to generate summaries of different styles without requiring corpora in the target styles, or training separate models?", "We present two novel methods that can be deployed during summary decoding on any pre-trained Transformer-based summarization model.", "(1) Decoder state adjustment instantly modifies de...
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[ "We propose Future Discriminators for Generation (FUDGE ), a flexible and modular method for controlled text generation.", "Given a preexisting model G for generating text from a distribution of interest, FUDGE enables conditioning on a desired attribute a (for example, formality) while requiring access only to G...
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[ "Microsoft Search Technology Center Asia, Beijing, China 4 Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China 5 Key Lab.", "of Machine Intelligence and Advanced Computing, Ministry of Education, China { xuzn, guody5, zhongwj25 } @mail2.sysu.edu.cn { suqliang, quanxj3 } @mail.sysu.edu.c...
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[ "There is mounting evidence that existing neural network models, in particular the very popular sequence-to-sequence architecture, struggle to systematically generalize to unseen compositions of seen components.", "We demonstrate that one of the reasons hindering compositional generalization relates to representa...
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[ "A growing body of literature has focused on detailing the linguistic knowledge embedded in large, pretrained language models.", "Existing work has shown that non-linguistic biases in models can drive model behavior away from linguistic generalizations.", "We hypothesized that competing linguistic processes wit...
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[ "Recent work on controlled text generation has either required attribute-based fine-tuning of the base language model (LM), or has restricted the parameterization of the attribute discriminator to be compatible with the base autoregressive LM.", "In this work, we propose Mix and Match LM, a global score-based alt...
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[ "In this paper, we study the importance of context in predicting the citation worthiness of sentences in scholarly articles.", "We formulate this problem as a sequence labeling task solved using a hierarchical BiLSTM model.", "We contribute a new benchmark dataset containing over two million sentences and their...
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[ "It is well known that the standard likelihood training and approximate decoding objectives in neural text generation models lead to less human-like responses for open-ended tasks such as language modeling and story generation.", "In this paper we have analyzed limitations of these models for abstractive document...
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[ "Neural chat translation aims to translate bilingual conversational text, which has a broad application in international exchanges and cooperation.", "Despite the impressive performance of sentence-level and context-aware Neural Machine Translation (NMT), there still remain challenges to translate bilingual conve...
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[ "In the last few years, a number of successful approaches have emerged that are able to adequately model various aspects of natural language.", "In particular, language models based on neural networks have improved the state of the art with regard to predictive language modeling, while topic models are successful...
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[ "Transfer learning with a unified Transformer framework (T5) that converts all language problems into a text-to-text format was recently proposed as a simple and effective transfer learning approach.", "Although a multilingual version of the T5 model (mT5) was also introduced, it is not clear how well it can fare...
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[ "Linguistic features have shown promising applications for detecting various cognitive impairments.", "To improve detection accuracies, increasing the amount of data or the number of linguistic features have been two applicable approaches.", "However, acquiring additional clinical data can be expensive, and han...
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[ "Kaitao Zhang 2 , Jie Bao 1 , Zhiyuan Liu 2 , Paul Bennett 3 1 Department of Electronic Engineering, Tsinghua University, Beijing, China Department of Computer Science and Technology, Tsinghua University, Beijing, China Institute for Artificial Intelligence, Tsinghua University, Beijing, China Beijing National Rese...
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[ "Training dense passage representations via contrastive learning has been shown effective for Open-Domain Passage Retrieval (ODPR).", "Existing studies focus on further optimizing by improving negative sampling strategy or extra pretraining.", "However, these studies keep unknown in capturing passage with inter...
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[ "Neural keyphrase generation models have recently attracted much interest due to their ability to output absent keyphrases , that is, keyphrases that do not appear in the source text.", "In this paper, we discuss the usefulness of absent keyphrases from an Information Retrieval (IR) perspective, and show that the...
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[ "Existing keyphrase extraction methods suffer from data sparsity problem when they are conducted on short and informal texts, especially microblog messages.", "Enriching context is one way to alleviate this problem.", "Considering that conversations are formed by reposting and replying messages, they provide us...
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[ "This paper proposes a question-answering (QA) benchmark for spatial reasoning on natural language text which contains more realistic spatial phenomena not covered by prior work and is challenging for state-of-the-art language models (LM).", "We propose a distant supervision method to improve on this task.", "S...
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[ "Zero-shot cross-domain dialogue state tracking (DST) enables us to handle task-oriented dialogue in unseen domains without the expense of collecting in-domain data.", "In this paper, we propose a slot description enhanced generative approach for zero-shot cross-domain DST.", "Specifically, our model first enco...
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[ "The Knowledge Base (KB) used for real-world applications, such as booking a movie or restaurant reservation, keeps changing over time.", "End-to-end neural networks trained for these task-oriented dialogs are expected to be immune to any changes in the KB.", "However, existing approaches breakdown when asked t...
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[ "Recent work (Feng et al., 2018) establishes the presence of short, uninterpretable input fragments that yield high confidence and accuracy in neural models.", "We refer to these as Minimal Prediction Preserving Inputs (MPPIs).", "In the context of question answering, we investigate competing hypotheses for the...
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[ "Recent studies on interpretability of attention distributions have led to notions of faithful and plausible explanations for a model's predictions.", "Attention distributions can be considered a faithful explanation if a higher attention weight implies a greater impact on the model's prediction.", "They can be...
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[ "Most of the recent work on personality detection from online posts adopts multifarious deep neural networks to represent the posts and builds predictive models in a data-driven manner, without the exploitation of psycholinguistic knowledge that may unveil the connections between one's language usage and his psycho...
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[ "Generating high-quality arguments, while being challenging, may benefit a wide range of downstream applications, such as writing assistants and argument search engines.", "Motivated by the effectiveness of utilizing knowledge graphs for supporting general text generation tasks, this paper investigates the usage ...
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[ "End-to-end relation extraction aims to identify named entities and extract relations between them.", "Most recent work models these two subtasks jointly, either by casting them in one structured prediction framework, or performing multi-task learning through shared representations.", "In this work, we present ...
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[ "We present a new problem: grounding natural language instructions to mobile user interface actions, and create three new datasets for it.", "For full task evaluation, we create PIXELHELP , a corpus that pairs English instructions with actions performed by people on a mobile UI emulator.", "To scale training, w...
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[ "Pre-trained contextual representations have led to dramatic performance improvements on a range of downstream tasks.", "Such performance improvements have motivated researchers to quantify and understand the linguistic information encoded in these representations.", "In general, researchers quantify the amount...
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[ "Given a database schema, Text-to-SQL aims to translate a natural language question into the corresponding SQL query.", "Under the setup of cross-domain, traditional semantic parsing models struggle to adapt to unseen database schemas.", "To improve the model generalization capability for rare and unseen schema...
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[ "Knowledge bases (KBs) contain plenty of structured world and commonsense knowledge.", "As such, they often complement distributional text-based information and facilitate various downstream tasks.", "Since their manual construction is resourceand time-intensive, recent e orts have tried leveraging large pretr...
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[ "We propose a simple method to align multilingual contextual embeddings as a post-pretraining step for improved cross-lingual transferability of the pretrained language models.", "Using parallel data, our method aligns embeddings on the word level through the recently proposed Translation Language Modeling object...
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[ "Automatic metrics are essential for developing natural language generation (NLG) models, particularly for open-ended language generation tasks such as story generation.", "However, existing automatic metrics are observed to correlate poorly with human evaluation.", "The lack of standardized benchmark datasets ...
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[ "Controversial posts are those that split the preferences of a community, receiving both significant positive and significant negative feedback.", "Our inclusion of the word com-munity here is deliberate: what is controversial to some audiences may not be so to others.", "Using data from several different commu...
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[ "Prompt-based probing has been widely used in evaluating the abilities of pretrained language models (PLMs).", "Unfortunately, recent studies have discovered such an evaluation may be inaccurate, inconsistent and unreliable.", "Furthermore, the lack of understanding its inner workings, combined with its wide ap...
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[ "Many multi-domain neural machine translation (NMT) models achieve knowledge transfer by enforcing one encoder to learn shared embedding across domains.", "However, this design lacks adaptation to individual domains.", "To overcome this limitation, we propose a novel multi-domain NMT model using individual modu...
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[ "Unsupervised translation has reached impressive performance on resource-rich language pairs such as English-French and English-German.", "However, early studies have shown that in more realistic settings involving low-resource, rare languages, unsupervised translation performs poorly, achieving less than 3.0 BLE...
[ "abstain", "abstain", "result", "method", "result", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "objective", "abstain", "abstain", "result", "result", "other", "objective", "result"...
[ "Co-training is a popular semi-supervised learning framework to utilize a large amount of unlabeled data in addition to a small labeled set.", "Co-training methods exploit predicted labels on the unlabeled data and select samples based on prediction confidence to augment the training.", "However, the selection ...
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[ "Multitasking Framework for Unsupervised Simple Definition Generation", "Cunliang Kong , Yun Chen , Hengyuan Zhang , Liner Yang , Erhong Yang 1 School of Information Science, Beijing Language and Culture University 2 School of Information Management & Engineering, Shanghai University of Finance and Economics 3 Na...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "method", "abstain", "objective", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "Learning representations of words in a continuous space is perhaps the most fundamental task in NLP, however words interact in ways much richer than vector dot product similarity can provide.", "Many relationships between words can be expressed set-theoretically, for example adjective-noun compounds (eg. red car...
[ "abstain", "abstain", "abstain", "objective", "objective", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "method", "objective", "objective", "abstain", "result", "a...
[ "When assigning quantitative labels to a dataset, different methodologies may rely on different scales.", "In particular, when assigning polarities to words in a sentiment lexicon, annotators may use binary, categorical, or continuous labels.", "Naturally, it is of interest to unify these labels from disparate ...
[ "abstain", "abstain", "abstain", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "method", "result", "method",...
[ "Cant is important for understanding advertising, comedies and dog-whistle politics.", "However, computational research on cant is hindered by a lack of available datasets.", "In this paper, we propose a large and diverse Chinese dataset for creating and understanding cant from a computational linguistics persp...
[ "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "result", "abstain", "result", "method", "other", "other", "other", "other", "other", "other", "oth...
[ "This paper proposes an approach to cross-language sentence selection in a low-resource setting.", "It uses data augmentation and negative sampling techniques on noisy parallel sentence data to directly learn a cross-lingual embedding-based query relevance model.", "Results show that this approach performs as w...
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[ "A neural multimodal machine translation (MMT) system is one that aims to perform better translation by extending conventional text-only translation models with multimodal information.", "Many recent studies report improvements when equipping their models with the multimodal module, despite the controversy of whe...
[ "abstain", "abstain", "objective", "objective", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "result", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "...
[ "We propose a novel linearization of a constituent tree, together with a new locally normalized model.", "For each split point in a sentence, our model computes the normalizer on all spans ending with that split point, and then predicts a tree span from them.", "Compared with global models, our model is fast an...
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[ "Recent studies have determined that the learned token embeddings of large-scale neural language models are degenerated to be anisotropic with a narrow-cone shape.", "This phenomenon, called the representation degeneration problem, facilitates an increase in the overall similarity between token embeddings that ne...
[ "abstain", "abstain", "abstain", "method", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "objective", "abstain", "abstain", "objective"...
[ "Traditional named entity recognition models use gazetteers (lists of entities) as features to improve performance.", "Although modern neural network models do not require such handcrafted features for strong performance, recent work (Wu et al., 2018) has demonstrated their utility for named entity recognition on...
[ "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "method", "objective", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "abstain", ...
[ "This work aims to build a dialogue agent that can weave new factual content into conversations as naturally as humans.", "We draw insights from linguistic principles of conversational analysis and annotate human-human conversations from the Switchboard Dialog Act Corpus to examine humans strategies for acknowled...
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[ "Question answering (QA) models have shown rapid progress enabled by the availability of large, high-quality benchmark datasets.", "Such annotated datasets are difficult and costly to collect, and rarely exist in languages other than English, making building QA systems that work well in other languages challengin...
[ "abstain", "abstain", "abstain", "method", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "objective", "method", "other", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "objective", "method", "abstain"...
[ "Humanities scholars commonly provide evidence for claims that they make about a work of literature (e.g., a novel) in the form of quotations from the work.", "We collect a large-scale dataset (RELiC) of 78K literary quotations and surrounding critical analysis and use it to formulate the novel task of literary e...
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[ "yueyu@gatech.edu", "le.song@mbzuai.ac.ae", "chaozhang@gatech.edu", "Abstract", "Weakly-supervised learning (WSL) has shown promising results in addressing label scarcity on many NLP tasks, but manually designing a comprehensive, high-quality labeling rule set is tedious and difficult.", "We study interac...
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[ "Large pretrained generative models like GPT-3 often suffer from hallucinating non-existent or incorrect content, which undermines their potential merits in real applications.", "Existing work usually attempts to detect these hallucinations based on a corresponding oracle reference at a sentence or document level...
[ "abstain", "abstain", "abstain", "objective", "objective", "method", "method", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abst...
[ "Semantic parsing aims at translating natural language (NL) utterances onto machine-interpretable programs, which can be executed against a real-world environment.", "The expensive annotation of utterance-program pairs has long been acknowledged as a major bottleneck for the deployment of contemporary neural mode...
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[ "We propose a new method for projective dependency parsing based on headed spans.", "In a projective dependency tree, the largest subtree rooted at each word covers a contiguous sequence (i.e., a span) in the surface order.", "We call such a span marked by a root word headed span .", "A projective dependency ...
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[ "Simultaneous interpretation, the translation of speech from one language to another in real-time, is an inherently difficult and strenuous task.", "One of the greatest challenges faced by interpreters is the accurate translation of difficult terminology like proper names, numbers, or other entities.", "Intelli...
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[ "We aim to comprehensively identify all the event causal relations in a document, both within a sentence and across sentences, which is important for reconstructing pivotal event structures.", "The challenges we identified are two:", "1) event causal relations are sparse among all possible event pairs in a docu...
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[ "Self-attention mechanisms have made striking state-of-the-art (SOTA) progress in various sequence learning tasks, standing on the multiheaded dot product attention by attending to all the global contexts at different locations.", "Through a pseudo information highway , we introduce a gated component self-depende...
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[ "We study semantic parsing in an interactive setting in which users correct errors with natural language feedback.", "We present NL-EDIT , a model for interpreting natural language feedback in the interaction context to generate a sequence of edits that can be applied to the initial parse to correct its errors.",...
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[ "Pre-trained language models (PLMs) have achieved great success in natural language processing.", "Most of PLMs follow the default setting of architecture hyper-parameters (e.g., the hidden dimension is a quarter of the intermediate dimension in feed-forward sub-networks) in BERT (Devlin et al., 2019).", "Few s...
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[ "We combine multi-task learning and semi-supervised learning by inducing a joint embedding space between disparate label spaces and learning transfer functions between label embeddings, enabling us to jointly leverage unlabelled data and auxiliary, annotated datasets.", "We evaluate our approach on a variety of s...
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[ "We propose a framework for computer-assisted text editing.", "It applies to translation post-editing and to paraphrasing.", "Our proposal relies on very simple interactions: a human editor modifies a sentence by marking tokens they would like the system to change.", "Our model then generates a new sentence w...
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[ "In this paper, we study how to continually pretrain language models for improving the understanding of math problems.", "Specifically, we focus on solving a fundamental challenge in modeling math problems, i.e., how to fuse the semantics of textual description and formulas, which are highly different in essence....
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[ "Measuring the scholarly impact of a document without citations is an important and challenging problem.", "Existing approaches such as Document Influence Model (DIM) are based on dynamic topic models, which only consider the word frequency change.", "In this paper, we use both frequency changes and word semant...
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[ "Formality style transfer (FST) is a task that involves paraphrasing an informal sentence into a formal one without altering its meaning.", "To address the data-scarcity problem of existing parallel datasets, previous studies tend to adopt a cycle-reconstruction scheme to utilize additional unlabeled data, where ...
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[ "We address the problem of calibrating prediction confidence for output entities of interest in natural language processing (NLP) applications.", "It is important that NLP applications such as named entity recognition and question answering produce calibrated confidence scores for their predictions, especially if...
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[ "Weakly supervised question answering usually has only the final answers as supervision signals while the correct solutions to derive the answers are not provided.", "This setting gives rise to the spurious solution problem : there may exist many spurious solutions that coincidentally derive the correct answer, b...
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[ "Named entity recognition (NER) remains challenging when entity mentions can be discontinuous.", "Existing methods break the recognition process into several sequential steps.", "In training, they predict conditioned on the golden intermediate results, while at inference relying on the model output of the previ...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "ab...
[ "Neural machine translation (NMT) models are data-driven and require large-scale training corpus.", "In practical applications, NMT models are usually trained on a general domain corpus and then fine-tuned by continuing training on the in-domain corpus.", "However, this bears the risk of catastrophic forgetting...
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[ "A dialogue is essentially a multi-turn interaction among interlocutors.", "Effective evaluation metrics should reflect the dynamics of such interaction.", "Existing automatic metrics are focused very much on the turn-level quality, while ignoring such dynamics.", "To this end, we propose DynaEval 1 , a unifi...
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[ "Machine Reading Comprehension (MRC) reveals the ability to understand a given text passage and answer questions based on it.", "Existing research works in MRC rely heavily on large-size models and corpus to improve the performance evaluated by metrics such as Exact Match ( EM ) and F 1 .", "However, such a par...
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[ "Finetuning large pre-trained language models with a task-specific head has advanced the state-of-the-art on many natural language understanding benchmarks.", "However, models with a task-specific head require a lot of training data, making them susceptible to learning and exploiting dataset-specific superficial ...
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[ "We introduce a generic seq2seq parsing framework that casts constituency parsing problems (syntactic and discourse parsing) into a series of conditional splitting decisions.", "Our parsing model estimates the conditional probability distribution of possible splitting points in a given text span and supports effi...
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[ "We present that, the rank-frequency relation in textual data follows f r ( r + ) , where f is the token frequency and r is the rank by frequency, with ( , , ) as parameters.", "The formulation is derived based on the empirical observation that d 2 ( x + y ) /dx 2 is a typical impulse function, where ( x...
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[ "In conversational question answering (CQA), the task of question rewriting (QR) in context aims to rewrite a context-dependent question into an equivalent self-contained question that gives the same answer.", "In this paper, we are interested in the robustness of a QR system to questions varying in rewriting har...
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[ "Temporal Knowledge Graphs (Temporal KGs) extend regular Knowledge Graphs by providing temporal scopes (e.g., start and end times) on each edge in the KG.", "While Question Answering over KG (KGQA) has received some attention from the research community, QA over Temporal KGs (Temporal KGQA) is a relatively unexpl...
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[ "Standard conversational semantic parsing maps a complete user utterance into an executable program, after which the program is executed to respond to the user.", "This could be slow when the program contains expensive function calls.", "We investigate the opportunity to reduce latency by predicting and executi...
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[ "We present the first study that examines the evolution of morphological families, i.e., sets of morphologically related words such as trump, antitrumpism, and detrumpify, in social media.", "We introduce the novel task of Morphological Family Expansion Prediction (MFEP) as predicting the increase in the size of ...
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[ "This paper describes a novel application of NLP models to detect denial of service attacks using only social media as evidence.", "Individual networks are often slow in reporting attacks, so a detection system from public data could better assist a response to a broad attack across multiple services.", "We exp...
[ "objective", "abstain", "objective", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "meth...
[ "We introduce Uncertain Natural Language Inference (UNLI), a refinement of Natural Language Inference (NLI) that shifts away from categorical labels, targeting instead the direct prediction of subjective probability assessments.", "We demonstrate the feasibility of collecting annotations for UNLI by relabeling a ...
[ "abstain", "objective", "result", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "result", "objective", "abstain", "abstain", "method", "abstain", "abstain", "abstain", ...
[ "External syntactic and semantic information has been largely ignored by existing neural coreference resolution models.", "In this paper, we present a heterogeneous graph-based model to incorporate syntactic and semantic structures of sentences.", "The proposed graph contains a syntactic sub-graph where tokens ...
[ "abstain", "method", "abstain", "objective", "objective", "abstain", "abstain", "other", "abstain", "other", "method", "abstain", "method", "abstain", "objective", "method", "method", "abstain", "method", "abstain", "method", "abstain", "abstain", "other", "abstain", ...
[ "Despite achieving prominent performance on many important tasks, it has been reported that neural networks are vulnerable to adversarial examples.", "Previously studies along this line mainly focused on semantic tasks such as sentiment analysis, question answering and reading comprehension.", "In this study, w...
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[ "Because large, human-annotated datasets suffer from labeling errors, it is crucial to be able to train deep neural networks in the presence of label noise.", "While training image classification models with label noise have received much attention, training text classification models have not.", "In this paper...
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[ "Neural abstractive summarization models are able to generate summaries which have high overlap with human references.", "However, existing models are not optimized for factual correctness, a critical metric in real-world applications.", "In this work, we develop a general framework where we evaluate the factua...
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[ "With the recent proliferation of the use of text classifications, researchers have found that there are certain unintended biases in text classification datasets.", "For example, texts containing some demographic identity-terms ( e.g. , gay, black) are more likely to be abusive in existing abusive language detec...
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[ "This paper explores the time course of lexical memory retrieval by modeling fluent language production.", "The duration of retrievals is predicted using the ACT-R cognitive architecture.", "In a large-scale observational study of a spoken corpus, we find that language production at a time point preceding a wor...
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[ "The growing size of neural language models has led to increased attention in model compression.", "The two predominant approaches are pruning , which gradually removes weights from a pre-trained model, and distillation , which trains a smaller compact model to match a larger one.", "Pruning methods can signifi...
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[ "The International Classification of Diseases (ICD) provides a standardized way for classifying diseases, which endows each disease with a unique code.", "ICD coding aims to assign proper ICD codes to a medical record.", "Since manual coding is very laborious and prone to errors, many methods have been proposed...
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[ "There are two approaches for pairwise sentence scoring: Cross-encoders , which perform full-attention over the input pair, and Bi-encoders , which map each input independently to a dense vector space.", "While cross-encoders often achieve higher performance, they are too slow for many practical use cases.", "B...
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[ "Given a set of related publications, related work section generation aims to provide researchers with an overview of the specific research area by summarizing these works and introducing them in a logical order.", "Most of existing related work section generation models follow the inflexible extractive style, wh...
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[ "We introduce and study the task of clickbait spoiling: generating a short text that satisfies the curiosity induced by a clickbait post.", "Clickbait links to a web page and advertises its contents by arousing curiosity instead of providing an informative summary.", "Our contributions are approaches to classif...
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[ "We generalize the notion of measuring social biases in word embeddings to visually grounded word embeddings.", "Biases are present in grounded embeddings, and indeed seem to be equally or more significant than for ungrounded embeddings.", "This is despite the fact that vision and language can suffer from diffe...
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