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naacl_data_prog

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[ "Recent work has shown that visual context improves cross-lingual sense disambiguation for nouns.", "We extend this line of work to the more challenging task of cross-lingual verb sense disambiguation, introducing the MultiSense dataset of 9,504 images annotated with English, German, and Spanish verbs.", "Each ...
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[ "(cid:45)(cid:76)(cid:81)(cid:74)(cid:91)(cid:88)(cid:68)(cid:81) (cid:60)(cid:68)(cid:81)(cid:74)(cid:15) (cid:45)(cid:76)(cid:68)(cid:81)(cid:93)(cid:75)(cid:88)(cid:82) (cid:55)(cid:82)(cid:81)(cid:74)(cid:15) (cid:54)(cid:76) (cid:47)(cid:76) (cid:15) (cid:54)(cid:75)(cid:72)(cid:81)(cid:74) (cid:42)(cid:68)(c...
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[ "Conditional Text Generation has drawn much attention as a topic of Natural Language Generation (NLG) which provides the possibility for humans to control the properties of generated contents.", "Current conditional generation models cannot handle emerging conditions due to their joint end-to-end learning fashion...
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[ "In this paper, we study two issues of semantic parsing approaches to conversational question answering over a large-scale knowledge base: (1) The actions defined in grammar are not sufficient to handle uncertain reasoning common in real-world scenarios.", "(2) Knowledge base information is not well exploited and...
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[ "Mixed counting models that use the negative binomial distribution as the prior can well model over-dispersed and hierarchically dependent random variables; thus they have attracted much attention in mining dispersed document topics.", "However, the existing parameter inference method like Monte Carlo sampling is...
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[ "The goal of conversational machine reading is to answer user questions given a knowledge base text which may require asking clarification questions.", "Existing approaches are limited in their decision making due to struggles in extracting question-related rules and reasoning about them.", "In this paper, we p...
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[ "The end-to-end nature of neural machine translation (NMT) removes many ways of manually guiding the translation process that were available in older paradigms.", "Recent work, however, has introduced a new capability: lexically constrained or guided decoding, a modification to beam search that forces the inclusi...
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[ "In the context of fake news, bias, and propaganda, we study two important but relatively under-explored problems: ( i ) trustworthiness estimation (on a 3-point scale) and ( ii ) political ideology detection (left/right bias on a 7-point scale) of entire news outlets, as opposed to evaluating individual articles."...
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[ "Multi-task learning (MTL) and transfer learning (TL) are techniques to overcome the issue of data scarcity when training state-of-the-art neural networks.", "However, finding beneficial auxiliary datasets for MTL or TL is a timeand resource-consuming trial-and-error approach.", "We propose new methods to autom...
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[ "Five years after the first published proofs of concept, direct approaches to speech translation (ST) are now competing with traditional cascade solutions.", "In light of this steady progress, can we claim that the performance gap between the two is closed?", "Starting from this question, we present a systemati...
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[ "An audience's prior beliefs and morals are strong indicators of how likely they will be affected by a given argument.", "Utilizing such knowledge can help focus on shared values to bring disagreeing parties towards agreement.", "In argumentation technology, however, this is barely exploited so far.", "This p...
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[ "Cross-modal language generation tasks such as image captioning are directly hurt in their ability to support non-English languages by the trend of data-hungry models combined with the lack of non-English annotations.", "We investigate potential solutions for combining existing language-generation annotations in ...
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[ "Pretraining deep language models has led to large performance gains in NLP.", "Despite this success, Schick and Schutze (2020) recently showed that these models struggle to understand rare words.", "For static word embeddings, this problem has been addressed by separately learning representations for rare word...
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[ "Automated scientific fact checking is difficult due to the complexity of scientific language and a lack of significant amounts of training data, as annotation requires domain expertise.", "To address this challenge, we propose scientific claim generation, the task of generating one or more atomic and verifiable ...
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[ "Fine-tuning the entire set of parameters of a large pretrained model has become the mainstream approach for transfer learning.", "To increase its efficiency and prevent catastrophic forgetting and interference, techniques like adapters and sparse fine-tuning have been developed.", "Adapters are modular , as th...
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[ "Generative feature matching network (GFMN) is an approach for training implicit generative models for images by performing moment matching on features from pre-trained neural networks.", "In this paper, we present new GFMN formulations that are effective for sequential data.", "Our experimental results show th...
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[ "We study the problem of event coreference resolution (ECR) that seeks to group coreferent event mentions into the same clusters.", "Deep learning methods have recently been applied for this task to deliver state-of-the-art performance.", "However, existing deep learning models for ECR are limited in that they ...
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[ "Existing leading code comment generation approaches with the structure-to-sequence framework ignores the type information of the interpretation of the code, e.g., operator, string, etc.", "However, introducing the type information into the existing framework is non-trivial due to the hierarchical dependence amon...
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[ "Abstract Warning: this paper contains examples that may be offensive or upsetting.", "The social impact of natural language processing and its applications has received increasing attention.", "In this position paper, we focus on the problem of safety for end-to-end conversational AI.", "We survey the proble...
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[ "This paper introduces QAConv , 1 , a new question answering (QA) dataset that uses conversations as a knowledge source.", "We focus on informative conversations, including business emails, panel discussions, and work channels.", "Unlike open-domain and task-oriented dialogues, these conversations are usually l...
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[ "Transformers are not suited for processing long documents, due to their quadratically increasing memory and time consumption.", "Simply truncating a long document or applying the sparse attention mechanism will incur the context fragmentation problem or lead to an inferior modeling capability against comparable ...
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[ "Molecular representation learning plays an essential role in cheminformatics.", "Recently, language model-based approaches have gained popularity as an alternative to traditional expert-designed features to encode molecules.", "However, these approaches only utilize a single molecular language for representati...
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[ "Spoken language understanding (SLU) requires a model to analyze input acoustic signal to understand its linguistic content and make predictions.", "To boost the models' performance, various pre-training methods have been proposed to learn rich representations from large-scale unannotated speech and text.", "Ho...
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[ "The present work investigates whether different quantification mechanisms (set comparison, vague quantification, and proportional estimation) can be jointly learned from visual scenes by a multi-task computational model.", "The motivation is that, in humans, these processes underlie the same cognitive, nonsymbol...
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[ "To improve the training efficiency of hierarchical recurrent models without compromising their performance, we propose a strategy named as the lower the simpler, which is to simplify the baseline models by making the lower layers simpler than the upper layers.", "We carry out this strategy to simplify two typica...
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[ "Distance-based knowledge graph embeddings have shown substantial improvement on the knowledge graph link prediction task, from TransE to the latest state-of-the-art RotatE .", "However, complex relations such as N-to-1, 1-to-N and N-to-N still remain challenging to predict.", "In this work, we propose a novel ...
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[ "We present an incremental syntactic representation that consists of assigning a single discrete label to each word in a sentence, where the label is predicted using strictly incremental processing of a prefix of the sentence, and the sequence of labels for a sentence fully determines a parse tree.", "Our goal is...
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[ "Conversational question answering aims to provide natural-language answers to users in information-seeking conversations.", "Existing conversational QA benchmarks compare models with pre-collected human-human conversations, using ground-truth answers provided in conversational history.", "It remains unclear wh...
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[ "We introduce a new method to tag Multiword Expressions (MWEs) using a linguistically interpretable language-independent deep learning architecture.", "We specifically target discontinuity, an under-explored aspect that poses a significant challenge to computational treatment of MWEs.", "Two neural architecture...
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[ "Adversarial examples expose the vulnerabilities of natural language processing (NLP) models, and can be used to evaluate and improve their robustness.", "Existing techniques of generating such examples are typically driven by local heuristic rules that are agnostic to the context, often resulting in unnatural an...
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[ "Several cluster-based methods for semantic change detection with contextual embeddings emerged recently.", "They allow a fine-grained analysis of word use change by aggregating embeddings into clusters that reflect the different usages of the word.", "However, these methods are unscalable in terms of memory co...
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[ "This paper introduces semantic frame forecast , a task that predicts the semantic frames that will occur in the next 10, 100, or even 1,000 sentences in a running story.", "Prior work focused on predicting the immediate future of a story, such as one to a few sentences ahead.", "However, when novelists write l...
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[ "A stereotype is an over-generalized belief about a particular group of people, e.g., Asians are good at math or African Americans are athletic .", "Such beliefs (biases) are known to hurt target groups.", "Since pretrained language models are trained on large real world data, they are known to capture stereoty...
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[ "Standard word embedding algorithms, such as word2vec and Glove , make a restrictive assumption that words are likely to be semantically related only if they co-occur locally within a window of fixed size.", "However, this restrictive assumption may not capture the semantic association between words that co-occur...
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[ "Text style transfer aims to controllably generate text with targeted stylistic changes while maintaining core meaning from the source sentence constant.", "Many of the existing style transfer benchmarks primarily focus on individual high-level semantic changes ( e.g. positive to negative), which enable controlla...
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[ "Submodular maximization with the greedy algorithm has been studied as an effective approach to extractive summarization .", "This approach is known to have three advantages: its applicability to many useful submodular objective functions, the efficiency of the greedy algorithm, and the provable performance guara...
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[ "In online domain-specific customer service applications, many companies struggle to deploy advanced NLP models successfully, due to the limited availability of and noise in their datasets.", "While prior research demonstrated the potential of migrating large open-domain pretrained models for domain-specific task...
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[ "Many sequence-to-sequence tasks in natural language processing are roughly monotonic in the alignment between source and target sequence, and previous work has facilitated or enforced learning of monotonic attention behavior via specialized attention functions or pretraining.", "In this work, we introduce a mono...
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[ "To avoid giving wrong answers, question answering (QA) models need to know when to abstain from answering.", "Moreover, users often ask questions that diverge from the model's training data, making errors more likely and thus abstention more critical.", "In this work, we propose the setting of selective questi...
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[ "Abstract Question answering over temporal knowledge graphs (KGs) efficiently uses facts contained in a temporal KG, which records entity relations and when they occur in time, to answer natural language questions (e.g., Who was the president of the US before Obama?).", "These questions often involve three time-r...
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[ "Event Detection (ED) aims to identify event trigger words from a given text and classify it into an event type.", "Most of current methods to ED rely heavily on training instances, and almost ignore the correlation of event types.", "Hence, they tend to suffer from data scarcity and fail to handle new unseen e...
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[ "AI systems embodied in the physical world face a fundamental challenge of partial observability; operating with only a limited view and knowledge of the environment.", "This creates challenges when AI systems try to reason about language and its relationship with the environment: objects referred to through lang...
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[ "We introduce a new neural network architecture, Multimodal Neural Graph Memory Networks (MN-GMN), for visual question answering.", "The MN-GMN uses graph structure with different region features as node attributes and applies a recently proposed powerful graph neural network model, Graph Network (GN), to reason ...
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[ "Distantly-labeled data can be used to scale up training of statistical models, but it is typically noisy and that noise can vary with the distant labeling technique.", "In this work, we propose a two-stage procedure for handling this type of data: denoise it with a learned model, then train our final model on cl...
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[ "This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.", "We train a Transformer-based masked language model on one hundred languages, using more than two terabytes of fil-tered CommonCrawl data.", "Our mo...
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[ "Current sequence-to-sequence models are trained to minimize cross-entropy and use softmax to compute the locally normalized probabilities over target sequences.", "While this setup has led to strong results in a variety of tasks, one unsatisfying aspect is its length bias: models give high scores to short, inade...
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[ "Recent work in the field of automatic summarization and headline generation focuses on maximizing ROUGE scores for various news datasets.", "We present an alternative, extrinsic, evaluation metric for this task, A nswering P erformance for E valuation of S ummaries .", "APES utilizes recent progress in the fie...
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[ "Numerical reasoning over hybrid data containing both textual and tabular content (e.g., financial reports) has recently attracted much attention in the NLP community.", "However, existing question answering (QA) benchmarks over hybrid data only include a single flat table in each document and thus lack examples ...
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[ "Abstract", "Non-autoregressive (NAR) neural machine translation is usually done via knowledge distillation from an autoregressive (AR) model.", "Under this framework, we leverage large monolingual corpora to improve the NAR model's performance, with the goal of transferring the AR model's generalization abilit...
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[ "Knowing the Most Frequent Sense (MFS) of a word has been proved to help Word Sense Disambiguation (WSD) models significantly.", "However, the scarcity of sense-annotated data makes it difficult to induce a reliable and high-coverage distribution of the meanings in a language vocabulary.", "To address this issu...
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[ "Training a task-oriented dialogue agent with reinforcement learning is prohibitively expensive since it requires a large volume of interactions with users.", "Human demonstrations can be used to accelerate learning progress.", "However, how to effectively leverage demonstrations to learn dialogue policy remain...
[ "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "a...
[ "We address the problem of enhancing model robustness through regularization.", "Specifi-cally, we focus on methods that regularize the model posterior difference between clean and noisy inputs.", "Theoretically, we provide a connection of two recent methods, Jacobian Regularization and Virtual Adversarial Trai...
[ "abstain", "method", "method", "abstain", "method", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "abstain", "abstain", "other", "method", "result", "result", "abst...
[ "This paper presents a novel pre-trained language models (PLM) compression approach based on the matrix product operator (short as MPO) from quantum many-body physics.", "It can decompose an original matrix into central tensors (containing the core information) and auxiliary tensors (with only a small proportion ...
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[ "The bigger the corpus, the more topics it can potentially support.", "To truly make full use of massive text corpora, a topic model inference algorithm must therefore scale efficiently in 1) documents and 2) topics, while 3) achieving accurate inference.", "Previous methods have achieved two out of three of th...
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[ "Although some recent works show potential complementarity among different state-of-the-art systems, few works try to investigate this problem in text summarization.", "Researchers in other areas commonly refer to the techniques of reranking or stacking to approach this problem.", "In this work, we highlight se...
[ "abstain", "abstain", "objective", "method", "objective", "result", "other", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abs...
[ "In this paper, we propose a neural model EPT-X (Expression-Pointer Transformer with Ex-planations), which utilizes natural language explanations to solve an algebraic word problem.", "To enhance the explainability of the encoding process of a neural model, EPT-X adopts the concepts of plausibility and faithfulne...
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[ "Chinese spelling correction (CSC) is a task to detect and correct spelling errors in texts.", "CSC is essentially a linguistic problem, thus the ability of language understanding is crucial to this task.", "In this paper, we propose a P re-trained masked L anguage m O del with M isspelled knowledg E (PLOME) fo...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "method", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "absta...
[ "Estimating the expected output quality of generation systems is central to NLG.", "This paper qualifies the notion that automatic metrics are not as good as humans in estimating system-level quality.", "Statistically, humans are unbiased, high variance estimators, while metrics are biased, low variance estimat...
[ "abstain", "abstain", "abstain", "method", "abstain", "method", "method", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", ...
[ "Neural network architectures in natural language processing often use attention mechanisms to produce probability distributions over input token representations.", "Attention has empirically been demonstrated to improve performance in various tasks, while its weights have been extensively used as explanations fo...
[ "abstain", "abstain", "abstain", "result", "objective", "abstain", "objective", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other",...
[ "The research of knowledge-driven conversational systems is largely limited due to the lack of dialog data which consists of multi-turn conversations on multiple topics and with knowledge annotations.", "In this paper, we propose a Chinese multi-domain knowledge-driven conversation dataset, KdConv , which grounds...
[ "abstain", "objective", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "ab...
[ "Sarcasm is important to sentiment analysis on social media.", "Sarcasm Target Identification (STI) deserves further study to understand sarcasm in depth.", "However, text lacking context or missing sarcasm target makes target identification very difficult.", "In this paper, we introduce multimodality to STI ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abs...
[ "Learning to capture text-table alignment is essential for tasks like text-to-SQL.", "A model needs to correctly recognize natural language references to columns and values and to ground them in the given database schema.", "In this paper, we present a novel weakly supervised Stru ctureG rounded pretraining fra...
[ "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "other", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "We introduce the largest transcribed Arabic speech corpus, QASR 1 , collected from the broadcast domain.", "This multi-dialect speech dataset contains 2 , 000 hours of speech sampled at 16 kHz crawled from Aljazeera news channel.", "The dataset is released with lightly supervised transcriptions, aligned with t...
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[ "More than 43% of the languages spoken in the world are endangered, and language loss currently occurs at an accelerated rate because of globalization and neocolonialism.", "Saving and revitalizing endangered languages has become very important for maintaining the cultural diversity on our planet.", "In this wo...
[ "abstain", "abstain", "method", "objective", "method", "abstain", "result", "method", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "method", ...
[ "We introduce Dynabench, an open-source platform for dynamic dataset creation and model benchmarking.", "Dynabench runs in a web browser and supports human-and-model-in-the-loop dataset creation: annotators seek to create examples that a target model will misclassify, but that another person will not.", "In thi...
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[ "Charts are commonly used for exploring data and communicating insights.", "Generating natural language summaries from charts can be very helpful for people in inferring key insights that would otherwise require a lot of cognitive and perceptual efforts.", "We present Chart-to-text, a large-scale benchmark with...
[ "abstain", "abstain", "method", "method", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain...
[ "In this paper, we study the challenging problem of automatic generation of citation texts in scholarly papers.", "Given the context of a citing paper A and a cited paper B, the task aims to generate a short text to describe B in the given context of A. One big challenge for addressing this task is the lack of tr...
[ "method", "abstain", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "other", "method", "abstain", "abstain", "abstain", "objective", "me...
[ "We present substructure distribution projection (SUBDP), a technique that projects a distribution over structures in one domain to another, by projecting substructure distributions separately.", "Models for the target domain can then be trained, using the projected distributions as soft silver labels.", "We ev...
[ "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "result", "abstain", "other", "other", "other", "other", "other", "other"...
[ "Typical generative dialogue models utilize the dialogue history to generate the response.", "However, since one dialogue utterance can often be appropriately answered by multiple distinct responses, generating a desired response solely based on the historical information is not easy.", "Intuitively, if the cha...
[ "abstain", "abstain", "abstain", "objective", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "method", "abstain", "abstain", "method", "abstain", "method",...
[ "This paper focuses on generating multi-hop reasoning questions from the raw text in a low resource circumstance.", "Such questions have to be syntactically valid and need to logically correlate with the answers by deducing over multiple relations on several sentences in the text.", "Specifically, we first buil...
[ "method", "abstain", "objective", "objective", "abstain", "abstain", "result", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Do self-supervised speech models develop human-like perception biases?", "Abstract Self-supervised models for speech processing form representational spaces without using any external labels.", "Increasingly, they appear to be a feasible way of at least partially eliminating costly manual annotations, a proble...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "other", "abstain", "abstain", "objective", "method", "abstain", "method", "absta...
[ "How do we know if a particular medical treatment actually works?", "Ideally one would consult all available evidence from relevant clinical trials.", "Unfortunately, such results are primarily disseminated in natural language scientific articles, imposing substantial burden on those trying to make sense of the...
[ "abstain", "abstain", "abstain", "objective", "abstain", "objective", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "a...
[ "Previous math word problem solvers following the encoder-decoder paradigm fail to explicitly incorporate essential math symbolic constraints, leading to unexplainable and unreasonable predictions.", "Herein, we propose Neural-Symbolic Solver (NS-Solver) to explicitly and seamlessly incorporate different levels o...
[ "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", ...
[ "Natural language processing (NLP) tasks, ranging from text classification to text generation, have been revolutionised by the pretrained language models, such as BERT.", "This allows corporations to easily build powerful APIs by encapsulating fine-tuned BERT models for downstream tasks.", "However, when a fine...
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[ "Most previous studies integrate cognitive language processing signals (e.g., eye-tracking or EEG data) into neural models of natural language processing (NLP) just by directly concatenating word embeddings with cognitive features, ignoring the gap between the two modalities (i.e., textual vs. cognitive) and noise ...
[ "abstain", "objective", "method", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "result", "abstain", "abs...
[ "Although Transformer has achieved great successes on many NLP tasks, its heavy structure with fully-connected attention connections leads to dependencies on large training data.", "In this paper, we present Star-Transformer , a lightweight alternative by careful sparsification.", "To reduce model complexity, w...
[ "abstain", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstai...
[ "Learning a shared dialog structure from a set of task-oriented dialogs is an important challenge in computational linguistics.", "The learned dialog structure can shed light on how to analyze human dialogs, and more importantly contribute to the design and evaluation of dialog systems.", "We propose to extract...
[ "abstain", "abstain", "objective", "abstain", "abstain", "result", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "ab...
[ "Abstract Turn-level user satisfaction is one of the most important performance metrics for conversational agents.", "It can be used to monitor the agent's performance and provide insights about defective user experiences.", "While end-to-end deep learning has shown promising results, having access to a large n...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "...
[ "Source code processing heavily relies on the methods widely used in natural language processing (NLP), but involves specifics that need to be taken into account to achieve higher quality.", "An example of this specificity is that the semantics of a variable is defined not only by its name but also by the context...
[ "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "Several natural language processing (NLP) tasks are defined as a classification problem in its most complex form: Multi-label Hierarchical Extreme classification, in which items may be associated with multiple classes from a set of thousands of possible classes organized in a hierarchy and with a highly unbalanced...
[ "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "method", "abstai...
[ "Previous length-controllable summarization models mostly control lengths at the decoding stage, whereas the encoding or the selection of information from the source document is not sensitive to the designed length.", "They also tend to generate summaries as long as those in the training data.", "In this paper,...
[ "abstain", "abstain", "objective", "method", "abstain", "abstain", "method", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain...
[ "Prompts for pre-trained language models (PLMs) have shown remarkable performance by bridging the gap between pre-training tasks and various downstream tasks.", "Among these methods, prompt tuning, which freezes PLMs and only tunes soft prompts, provides an efficient and effective solution for adapting large-scal...
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[ "Aiming for a better integration of data-driven and linguistically-inspired approaches, we explore whether RST Nuclearity, assigning a binary assessment of importance between text segments, can be replaced by automatically generated, real-valued scores, in what we call a Weighted-RST framework.", "In particular, ...
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[ "Fine-grained Entity Typing (FET) has made great progress based on distant supervision but still suffers from label noise.", "Existing FET noise learning methods rely on prediction distributions in an instance-independent manner, which causes the problem of confirmation bias.", "In this work, we propose a clust...
[ "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "method", "abstain", "abstain", "abstain", "abst...
[ "Large-scale pretrained language models have achieved SOTA results on NLP tasks.", "However, they have been shown vulnerable to adversarial attacks especially for logographic languages like Chinese.", "In this work, we propose ROCBERT : a pretrained Chinese Bert that is robust to various forms of adversarial at...
[ "abstain", "abstain", "objective", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "objective", "abstain", "method", "abst...
[ "South Asia is home to a plethora of languages, many of which severely lack access to new language technologies.", "This linguistic diversity also results in a research environment conducive to the study of comparative, contact, and historical linguisticsfields which necessitate the gathering of extensive data fr...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "other", "other", "other", "other", "objective", "objective", "other", "other", "other", "other", "...
[ "Model-based, reference-free evaluation metrics have been proposed as a fast and cost-effective approach to evaluate Natural Language Generation (NLG) systems.", "Despite promising recent results, we find evidence that reference-free evaluation metrics of summarization and dialog generation may be relying on spur...
[ "abstain", "result", "result", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "result", "objective", "abstain", "abstain", "result", "objective", "result", "abstain", "abstain", "objective", "result", "objective", "abstain", "method", "abstain", ...
[ "Document-level neural machine translation (DocNMT) achieves coherent translations by incorporating cross-sentence context.", "However, for most language pairs there's a shortage of parallel documents, although parallel sentences are readily available.", "In this paper, we study whether and how contextual model...
[ "abstain", "abstain", "method", "objective", "objective", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "method", "objective", "abstain", ...
[ "Recently research has started focusing on avoiding undesired effects that come with content moderation, such as censorship and overblocking, when dealing with hatred online.", "The core idea is to directly intervene in the discussion with textual responses that are meant to counter the hate content and prevent i...
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[ "Typical fact verification models use retrieved written evidence to verify claims.", "Evidence sources, however, often change over time as more information is gathered and revised.", "In order to adapt, models must be sensitive to subtle differences in supporting evidence.", "We present VITAMINC, a benchmark ...
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[ "Word embeddings obtained from neural network models such as Word2Vec Skipgram have become popular representations of word meaning and have been evaluated on a variety of word similarity and relatedness norm-ing data.", "Skipgram generates a set of word and context embeddings, the latter typically discarded after...
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[ "Recent work in neural generation has attracted significant interest in controlling the form of text, such as style, persona, and politeness.", "However, there has been less work on controlling neural text generation for content.", "This paper introduces the notion of Content Transfer for long-form text generat...
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[ "Homographs, words with different meanings but the same surface form, have long caused difficulty for machine translation systems, as it is difficult to select the correct translation based on the context.", "However, with the ad-vent of neural machine translation (NMT) systems, which can theoretically take into ...
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[ "Generative semantic hashing is a promising technique for large-scale information retrieval thanks to its fast retrieval speed and small memory footprint.", "For the tractability of training, existing generative-hashing methods mostly assume a factorized form for the posterior distribution, enforcing independence...
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[ "The stance detection task aims at detecting the stance of a tweet or a text for a target.", "These targets can be named entities or free-form sentences (claims).", "Though the task involves reasoning of the tweet with respect to a target, we find that it is possible to achieve high accuracy on several publicly...
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[ "Multilingual models have demonstrated impressive cross-lingual transfer performance.", "However, test sets like XNLI are monolingual at the example level.", "In multilingual communities, it is common for polyglots to code-mix when conversing with each other.", "Inspired by this phenomenon, we present two str...
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[ "In hierarchical text classification, we perform a sequence of inference steps to predict the category of a document from top to bottom of a given class taxonomy.", "Most of the studies have focused on developing novels neural network architectures to deal with the hierarchical structure, but we prefer to look fo...
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[ "This work presents an information-theoretic operationalisation of cross-linguistic nonarbitrariness.", "It is not a new idea that there are small, cross-linguistic associations between the forms and meanings of words.", "For instance, it has been claimed (Blasi et al., 2016) that the word for TONGUE is more li...
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[ "The development of a fictional plot is centered around characters who closely interact with each other forming dynamic social networks.", "In literature analysis, such networks have mostly been analyzed without particular relation types or focusing on roles which the characters take with respect to each other.",...
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[ "Identifying the intent of a citation in scientific papers (e.g., background information, use of methods, comparing results ) is critical for machine reading of individual publications and automated analysis of the scientific literature.", "We propose structural scaffolds, a multitask model to incorporate structu...
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