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scim
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naacl_data_prog

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[ "Pre-trained language models (PLMs) have shown great potentials in natural language processing (NLP) including rhetorical structure theory (RST) discourse parsing.", "Current PLMs are obtained by sentence-level pre-training, which is different from the basic processing unit, i.e. element discourse unit (EDU).", ...
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[ "Recent advances in pre-trained multilingual language models lead to state-of-the-art results on the task of quality estimation (QE) for machine translation.", "A carefully engineered ensemble of such models won the QE shared task at WMT19.", "Our in-depth analysis, however, shows that the success of using pre-...
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[ "The focus of a negation is the set of tokens intended to be negated, and a key component for revealing affirmative alternatives to negated utterances.", "In this paper, we experiment with neural networks to predict the focus of negation.", "Our main novelty is leveraging a scope detector to introduce the scope...
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[ "Recently, word enhancement has become very popular for Chinese Named Entity Recognition (NER), reducing segmentation errors and increasing the semantic and boundary information of Chinese words.", "However, these methods tend to ignore the information of the Chinese character structure after integrating the lexi...
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[ "LSTM-based recurrent neural networks are the state-of-the-art for many natural language processing (NLP) tasks.", "Despite their performance, it is unclear whether, or how, LSTMs learn structural features of natural languages such as subject-verb number agreement in English.", "Lacking this understanding, the ...
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[ "Text summarization helps readers capture salient information from documents, news, interviews, and meetings.", "However, most state-of-the-art pretrained language models (LM) are unable to efficiently process long text for many summarization tasks.", "In this paper, we propose SUMMN , a simple, flexible, and e...
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[ "We present a method for combining multi-agent communication and traditional data-driven approaches to natural language learning, with an end goal of teaching agents to communicate with humans in natural language.", "Our starting point is a language model that has been trained on generic, not task-specific langua...
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[ "Abstract Meaning Representations (AMRs) capture sentence-level semantics structural representations to broad-coverage natural sentences.", "We investigate parsing AMR with explicit dependency structures and interpretable latent structures.", "We generate the latent soft structure without additional annotations...
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[ "Siamese Neural Networks have been widely used to perform similarity classification in multi-class settings.", "Their 4 architecture can be used to group the 5 clinical trials belonging to the same drug6 development pathway along the several 7 clinical trial phases.", "Here we present an 8 approach for the unme...
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[ "The prevalence of the COVID-19 pandemic in day-to-day life has yielded large amounts of stance detection data on social media sites, as users turn to social media to share their views regarding various issues related to the pandemic, e.g. stay at home mandates and wearing face masks when out in public.", "We set...
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[ "Plains Cree (nhiyawwin) is an Indigenous language that is spoken in Canada and the USA.", "It is the most widely spoken dialect of Cree and a morphologically complex language that is polysynthetic, highly inflective, and agglutinative.", "It is an extremely low resource language, with no existing corpus that i...
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[ "Since language models are used to model a wide variety of languages, it is natural to ask whether the neural architectures used for the task have inductive biases towards modeling particular types of languages.", "Investigation of these biases has proved complicated due to the many variables that appear in the e...
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[ "Template filling is generally tackled by a pipeline of two separate supervised systems one for role-filler extraction and another for template/event recognition.", "Since pipelines consider events in isolation, they can suffer from error propagation.", "We introduce a framework based on end-to-end generative ...
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[ "Amir Pouran Ben Veyseh 1 , Franck Dernoncourt 2 , Dejing Dou 1 and Thien Huu Nguyen 1,3 1 Department of Computer and Information Science, University of Oregon, Eugene, Oregon, USA 2 Adobe Research, San Jose, CA, USA 3 VinAI Research, Hanoi, Vietnam { apouranb, dou, thien } @cs.uoregon.edu franck.dernoncourt@adobe....
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[ "While state-of-the-art neural network models continue to achieve lower perplexity scores on language modeling benchmarks, it remains unknown whether optimizing for broad-coverage predictive performance leads to human-like syntactic knowledge.", "Furthermore, existing work has not provided a clear picture about t...
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[ "The Transformer translation model employs residual connection and layer normalization to ease the optimization difficulties caused by its multi-layer encoder/decoder structure.", "Previous research shows that even with residual connection and layer normalization, deep Transformers still have difficulty in traini...
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[ "Zero-shot sequence labeling aims to build a sequence labeler without human-annotated datasets.", "One straightforward approach is utilizing existing systems (source models) to generate pseudo-labeled datasets and train a target sequence labeler accordingly.", "However, due to the gap between the source and the...
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[ "While deep learning is a powerful tool for natural language processing (NLP) problems, successful solutions to these problems rely heavily on large amounts of annotated samples.", "However, manually annotating data is expensive and time-consuming.", "Active Learning (AL) strategies reduce the need for huge vol...
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[ "Knowledge is now starting to power neural dialogue agents.", "At the same time, the risk of misinformation and disinformation from dialogue agents also rises.", "Verifying the veracity of information from formal sources are widely studied in computational fact checking.", "In this work, we ask: How robust ar...
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[ "Continual learning has become increasingly important as it enables NLP models to constantly learn and gain knowledge over time.", "Previous continual learning methods are mainly designed to preserve knowledge from previous tasks, without much emphasis on how to well generalize models to new tasks.", "In this w...
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[ "Multi-task Learning methods have achieved significant progress in text classification.", "However, existing methods assume that multi-task text classification problems are convex multiobjective optimization problems, which is unrealistic in real-world applications.", "To address this issue, this paper presents...
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[ "This paper presents a tree-structured neural topic model, which has a topic distribution over a tree with an infinite number of branches.", "Our model parameterizes an unbounded ancestral and fraternal topic distribution by applying doubly-recurrent neural networks.", "With the help of autoencoding variational...
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[ "Knowledge graphs (KG) have become increasingly important to endow modern recommender systems with the ability to generate traceable reasoning paths to explain the recommendation process.", "However, prior research rarely considers the faithfulness of the derived explanations to justify the decision-making proces...
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[ "We consider the problem of learning to simplify medical texts.", "This is important because most reliable, up-to-date information in biomedicine is dense with jargon and thus practically inaccessible to the lay audience.", "Furthermore, manual simplification does not scale to the rapidly growing body of biomed...
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[ "How can language technology address the diverse situations of the world's languages?", "In one view, languages exist on a resource continuum and the challenge is to scale existing solutions, bringing under-resourced languages into the high-resource world.", "In another view, presented here, the world's languag...
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[ "Although multi-document summarization (MDS) of the biomedical literature is a highly valuable task that has recently attracted substantial interest, evaluation of the quality of biomedical summaries lacks consistency and transparency.", "In this paper, using systematic reviews as an example of biomedical MDS, we...
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[ "Recurrent neural network language models (RNNLM) form a valuable foundation for many NLP systems, but training the models can be computationally expensive, and may take days to train on a large corpus.", "We explore a technique that uses large corpus n-gram statistics as a regularizer for training a neural netwo...
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[ "Generating sequential natural language descriptions from graph-structured data (e.g., knowledge graph) is challenging, partly because of the structural differences between the input graph and the output text.", "Hence, popular sequence-to-sequence models, which require serialized input, are not a natural fit for...
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[ "Practical applications of abstractive summarization models are limited by frequent factual inconsistencies with respect to their input.", "Existing automatic evaluation metrics for summarization are largely insensitive to such errors.", "We propose QAGS, 1 an automatic evaluation protocol that is designed to i...
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[ "Modern Machine Translation (MT) systems perform remarkably well on clean, in-domain text.", "However most human generated text, particularly in the realm of social media, is full of typos, slang, dialect, idiolect and other noise which can have a disastrous impact on the accuracy of MT. In this paper we propose ...
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[ "Wasifur Rahman 1 , Md.", "Kamrul Hasan 1* , Sangwu Lee 1* , Amir Zadeh 2 , Chengfeng Mao 2 , Louis-Philippe Morency 2 , Ehsan Hoque 1 1 Department of Computer Science, University of Rochester, USA 2 Language Technologies Institute, SCS, CMU, USA echowdh2@ur.rochester.edu, mhasan8@cs.rochester.edu, slee232@u.roch...
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[ "Distant supervision tackles the data bottleneck in NER by automatically generating training instances via dictionary matching.", "Unfortunately, the learning of DS-NER is severely dictionary-biased, which suffers from spurious correlations and therefore undermines the effectiveness and the robustness of the lear...
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[ "Pre-trained language models have recently shown that training on large corpora using the language modeling objective enables few-shot and zero-shot capabilities on a variety of NLP tasks, including commonsense reasoning tasks.", "This is achieved using text interactions with the model, usually by posing the task...
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[ "The use of explicit object detectors as an intermediate step to image captioning which used to constitute an essential stage in early work is often bypassed in the currently dominant end-to-end approaches, where the language model is conditioned directly on a mid-level image embedding.", "We argue that explici...
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[ "We annotate 17,000 SNS posts with both the writer's subjective emotional intensity and the reader's objective one to construct a Japanese emotion analysis dataset.", "In this study, we explore the difference between the emotional intensity of the writer and that of the readers with this dataset.", "We found th...
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[ "We propose a method for program generation based on semantic scaffolds , lightweight structures representing the high-level semantic and syntactic composition of a program.", "By first searching over plausible scaffolds then using these as constraints for a beam search over programs, we achieve better coverage o...
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[ "Abstract Sentiment analysis is used as a proxy to measure human emotion, where the objective is to categorize text according to some prede-fined notion of sentiment.", "Sentiment analysis datasets are typically constructed with gold-standard sentiment labels, assigned based on the results of manual annotations."...
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[ "By introducing a small set of additional parameters, a probe learns to solve specific linguistic tasks (e.g., dependency parsing) in a supervised manner using feature representations (e.g., contextualized embeddings).", "The effectiveness of such probing tasks is taken as evidence that the pre-trained model enco...
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[ "Training dialogue agents requires a large number of interactions with users: agents have no idea about which responses are bad among a lengthy dialogue.", "In this paper, we propose loop-clipping policy optimisation (LCPO) to eliminate useless responses.", "LCPO consists of two stages: loop clipping and advant...
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[ "The availability of large-scale datasets has driven the development of neural models that create generic summaries from single or multiple documents.", "In this work we consider query focused summarization (QFS), a task for which training data in the form of queries, documents, and summaries is not readily avail...
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[ "Understanding narrative text requires capturing characters' motivations, goals, and mental states.", "This paper proposes an Entity-based Narrative Graph (ENG) to model the internal-states of characters in a story.", "We explicitly model entities, their interactions and the context in which they appear, and le...
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[ "The existence of multiple datasets for sarcasm detection prompts us to apply transfer learning to exploit their commonality.", "The adversarial neural transfer (ANT) framework utilizes multiple loss terms that encourage the source-domain and the target-domain feature distributions to be similar while optimizing ...
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[ "The increased focus on misinformation has spurred development of data and systems for detecting the veracity of a claim as well as retrieving authoritative evidence.", "The Fact Extraction and VERification (FEVER) dataset provides such a resource for evaluating end-to-end fact-checking, requiring retrieval of ev...
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[ "We propose a distance supervised relation extraction approach for long-tailed, imbalanced data which is prevalent in real-world settings.", "Here, the challenge is to learn accurate few-shot models for classes existing at the tail of the class distribution, for which little data is available.", "Inspired by th...
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[ "Chinese Spelling Check (CSC) is a task to detect and correct spelling errors in Chinese natural language.", "Existing methods have made attempts to incorporate the similarity knowledge between Chinese characters.", "However, they take the similarity knowledge as either an external input resource or just heuris...
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[ "Automatic evaluation of open-domain dialogue response generation is very challenging because there are many appropriate responses for a given context.", "Existing evaluation models merely compare the generated response with the ground truth response and rate many of the appropriate responses as inappropriate if ...
[ "abstain", "abstain", "abstain", "objective", "method", "method", "result", "result", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "absta...
[ "Named Entity Recognition (NER) in Few-Shot setting is imperative for entity tagging in low resource domains.", "Existing approaches only learn class-specific semantic features and intermediate representations from source domains.", "This affects generalizability to unseen target domains, resulting in suboptima...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "objective", "a...
[ "We present INSTAMAP , an instance-based method for learning projection-based crosslingual word embeddings.", "Unlike prior work, it deviates from learning a single global linear projection.", "INSTAMAP is a non-parametric model that learns a non-linear projection by iteratively: (1) finding a globally optimal ...
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[ "We propose a novel approach using representation learning for tackling the problem of extracting structured information from form-like document images.", "We propose an extraction system that uses knowledge of the types of the target fields to generate extraction candidates, and a neural network architecture tha...
[ "objective", "objective", "objective", "objective", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "method", "met...
[ "Various natural language processing tasks are structured prediction problems where outputs are constructed with multiple interdependent decisions.", "Past work has shown that domain knowledge, framed as constraints over the output space, can help improve predictive accuracy.", "However, designing good constrai...
[ "abstain", "abstain", "abstain", "method", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "abstain", "result", "abstain", "method", "abstain", "result", "abstain", "abstain", "abstain", "abstain", ...
[ "Text classification is usually studied by labeling natural language texts with relevant categories from a predefined set.", "In the real world, new classes might keep challenging the existing system with limited labeled data.", "The system should be intelligent enough to recognize upcoming new classes with a f...
[ "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", ...
[ "Models of narrative schema knowledge have proven useful for a range of event-related tasks, but they typically do not capture the temporal relationships between events.", "We propose a single model that addresses both temporal ordering, sorting given events into the order they occurred, and event infilling, pred...
[ "abstain", "objective", "method", "method", "abstain", "result", "result", "objective", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "method", "objective", "abstain", "abstain", "method", "objective", "result", "abstain", "abstain", "method", "metho...
[ "Prior work has proved that Translation memory (TM) can boost the performance of Neural Machine Translation (NMT).", "In contrast to existing work that uses bilingual corpus as TM and employs source-side similarity search for memory retrieval, we propose a new framework that uses monolingual memory and performs l...
[ "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "me...
[ "Abstract Predicting the approval odds of a patent application is a challenging problem involving multiple factors.", "The most important factor is arguably the novelty 35 U.S. Code 102 rejects applications that are not sufficiently differentiated from prior art.", "Novelty evaluation distinguishes the patent...
[ "abstain", "abstain", "abstain", "method", "method", "method", "method", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "objective", "abstain", "abstain"...
[ "Open Information Extraction (OpenIE) is the task of extracting (subject, predicate, object) triples from natural language sentences.", "Current OpenIE systems extract all triple slots independently.", "In contrast, we explore the hypothesis that it may be beneficial to extract triple slots iteratively: first e...
[ "abstain", "abstain", "objective", "objective", "abstain", "result", "objective", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "objective", "abstain", "objective", "objective", "abstain", "abstain", "abstain", "method", "resul...
[ "Recent research demonstrates the effectiveness of using fine-tuned language models (LM) for dense retrieval.", "However, dense retrievers are hard to train, typically requiring heavily engineered fine-tuning pipelines to realize their full potential.", "In this paper, we identify and address two underlying pro...
[ "abstain", "abstain", "method", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "other", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "method", "objective", "objective", "abstain", "abstain", "abstain", "abstain", "m...
[ "Recent proposed approaches have made promising progress in dialogue state tracking (DST).", "However, in multi-domain scenarios, ellipsis and reference are frequently adopted by users to express values that have been mentioned by slots from other domains.", "To handle these phenomena, we propose a D ialogue S ...
[ "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "objective",...
[ "Generative models for dialog systems have gained much interest because of the recent success of RNN and Transformer based models in tasks like question answering and summarization.", "Although the task of dialog response generation is generally seen as a sequence to sequence (Seq2Seq) problem, researchers in the...
[ "abstain", "abstain", "abstain", "abstain", "objective", "objective", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "abstain", "abstain", "method", ...
[ "A typical conversation comprises of multiple turns between participants where they go back-and-forth between different topics.", "At each user turn, dialogue state tracking (DST) aims to estimate user's goal by processing the current utterance.", "However, in many turns, users implicitly refer to the previous ...
[ "abstain", "abstain", "abstain", "abstain", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", "objective", "objective", "objective", "objective", "objective", "objective", "objective", "objective", "object...
[ "The framing of political issues can influence policy and public opinion.", "Even though the public plays a key role in creating and spreading frames, little is known about how ordinary people on social media frame political issues.", "By creating a new dataset of immigration-related tweets labeled for multiple...
[ "abstain", "abstain", "objective", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "method", "abstain", "other", "abstain", "objective", "method", "objective", "objective", "abstain", "result", ...
[ "The widespread use of word embeddings is associated with the recent successes of many natural language processing (NLP) systems.", "The key approach of popular models such as word2vec and GloVe is to learn dense vector representations from the context of words.", "More recently, other approaches have been prop...
[ "abstain", "abstain", "abstain", "abstain", "objective", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "a...
[ "We consider event extraction in a generative manner with template-based conditional generation.", "Although there is a rising trend of casting the task of event extraction as a sequence generation problem with prompts, these generation-based methods have two significant challenges, including using suboptimal pro...
[ "method", "abstain", "objective", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "other", "abstain", "abstain", "abstain", "method", "method", "result...
[ "We show that a general algorithm for efficient computation of outside values under the minimum of superior functions framework proposed by Knuth (1977) would yield a subexponential time algorithm for SAT, violating the Strong Exponential Time Hypothesis (SETH).", "Weighted deduction systems are used in a number ...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "other", "other", "other", "other", "other", "other", "other", "other", "other", "other", "method", "other", ...
[ "Guangnan Ye IBM Research New York, USA", "gye@us.ibm.com xcui@us.ibm.com Abstract", "In the recent advances of natural language processing, the scale of the state-of-the-art models and datasets is usually extensive, which challenges the application of sample-based explanation methods in many aspects, such as e...
[ "abstain", "abstain", "abstain", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "...
[ "When fine-tuning pretrained models for classification, researchers either use a generic model head or a task-specific prompt for prediction.", "Proponents of prompting have argued that prompts provide a method for injecting task-specific guidance, which is beneficial in low-data regimes.", "We aim to quantify ...
[ "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "other", "other", "other", "other", "objective", "abstain", "other", ...
[ "Representation learning is a critical ingredient for natural language processing systems.", "Recent Transformer language models like BERT learn powerful textual representations, but these models are targeted towards tokenand sentence-level training objectives and do not leverage information on inter-document rel...
[ "abstain", "abstain", "abstain", "objective", "abstain", "objective", "result", "abstain", "abstain", "other", "abstain", "method", "result", "abstain", "objective", "abstain", "objective", "abstain", "abstain", "result", "objective", "abstain", "method", "abstain", "...
[ "We consider the task of text attribute transfer: transforming a sentence to alter a specific attribute (e.g., sentiment) while preserving its attribute-independent content (e.g., changing screen is just the right size to screen is too small ).", "Our training data includes only sentences labeled with their attri...
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[ "Translating from languages without productive grammatical gender like English into gender-marked languages is a well-known difficulty for machines.", "This difficulty is also due to the fact that the training data on which models are built typically reflect the asymmetries of natural languages, gender bias inclu...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "objective", ...
[ "We are interested in a novel task, singing voice beautification (SVB).", "Given the singing voice of an amateur singer, SVB aims to improve the intonation and vocal tone of the voice, while keeping the content and vocal timbre.", "Current automatic pitch correction techniques are immature, and most of them are...
[ "objective", "abstain", "abstain", "objective", "objective", "objective", "objective", "objective", "other", "abstain", "other", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "other", ...
[ "In order to interpret the communicative intents of an utterance, it needs to be grounded in something that is outside of language ; that is, grounded in world modalities .", "In this paper we argue that dialogue clarification mechanisms make explicit the process of interpreting the communicative intents of the s...
[ "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "method", "method", "abstain", "abstain", "method", "method", "abstain", "abstain", "objective", "objective", "other", "other...
[ "This study explores the necessity of performing cross-corpora evaluation for grammatical error correction (GEC) models.", "GEC models have been previously evaluated based on a single commonly applied corpus: the CoNLL-2014 benchmark.", "However, the evaluation remains incomplete because the task difficulty var...
[ "objective", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "objective", "other", "abstain", "abstain", "objective", "objective", "result", "objective", "method", "objective", "other", ...
[ "The timings of spoken response offsets in human dialogue have been shown to vary based on contextual elements of the dialogue.", "We propose neural models that simulate the distributions of these response offsets, taking into account the response turn as well as the preceding turn.", "The models are designed t...
[ "abstain", "objective", "abstain", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "method", "abstain", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "ab...
[ "Conventional approaches to relation extraction usually require a fixed set of pre-defined relations.", "Such requirement is hard to meet in many real applications, especially when new data and relations are emerging incessantly and it is computationally expensive to store all data and re-train the whole model ev...
[ "abstain", "abstain", "objective", "objective", "objective", "objective", "objective", "abstain", "abstain", "other", "abstain", "method", "abstain", "other", "abstain", "abstain", "abstain", "objective", "method", "objective", "result", "objective", "method", "objectiv...
[ "Conditioned dialogue generation suffers from the scarcity of labeled responses.", "In this work, we exploit labeled non-dialogue text data related to the condition, which are much easier to collect.", "We propose a multi-task learning approach to leverage both labeled dialogue and text data.", "The 3 tasks j...
[ "abstain", "method", "objective", "abstain", "result", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "objective", "method", "objective", "method", "abstain", "objective", "objective", "objecti...
[ "In recent years, we have seen a colossal effort in pre-training multilingual text encoders using large-scale corpora in many languages to facilitate cross-lingual transfer learning.", "However, due to typological differences across languages, the cross-lingual transfer is challenging.", "Nevertheless, language...
[ "result", "abstain", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "result...
[ "When evaluating an answer choice for Reading Comprehension task, other answer choices available for the question and the answers of related questions about the same paragraph often provide valuable information.", "In this paper, we propose a method to leverage the natural language relations between the answer ch...
[ "abstain", "objective", "method", "method", "objective", "abstain", "abstain", "method", "result", "abstain", "abstain", "abstain", "method", "abstain", "objective", "objective", "objective", "objective", "abstain", "objective", "abstain", "method", "method", "abstain",...
[ "While Transformer-based text classifiers pre-trained on large volumes of text have yielded significant improvements on a wide range of computational linguistics tasks, their implementations have been unsuitable for live incremental processing thus far, operating only on the level of complete sentence inputs.", "...
[ "abstain", "abstain", "method", "method", "result", "method", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "result", "abstain", "method", "abstain", "abstain", "method", "objective", "method", "method", "method", "objective", ...
[ "Training a referring expression comprehension (ReC) model for a new visual domain requires collecting referring expressions, and potentially corresponding bounding boxes, for images in the domain.", "While large-scale pre-trained models are useful for image classification across domains, it remains unclear if th...
[ "abstain", "abstain", "method", "abstain", "result", "abstain", "method", "abstain", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "method", "objective", "objective", "re...
[ "The success of neural networks on a diverse set of NLP tasks has led researchers to question how much these networks actually know about natural language.", "Probes are a natural way of assessing this.", "When probing, a researcher chooses a linguistic task and trains a supervised model to predict annotations ...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "method", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "result", "abstain", "abstain", "abstain", "result", "result", "method"...
[ "Machine reading comprehension has made great progress in recent years owing to large-scale annotated datasets.", "In the clinical domain, however, creating such datasets is quite difficult due to the domain expertise required for annotation.", "Recently, Pampari et al. (2018) tackled this issue by using expert...
[ "abstain", "abstain", "abstain", "method", "result", "abstain", "abstain", "result", "result", "abstain", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other"...
[ "Most modern Information Extraction (IE) systems are implemented as sequential taggers and only model local dependencies.", "Non-local and non-sequential context is, however, a valuable source of information to improve predictions.", "In this paper, we introduce GraphIE, a framework that operates over a graph r...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "abstain", "method", "method", "method...
[ "Riyaz Ahmad Bhat Interaction Labs, Bangalore, India", "Dipti Misra Sharma LTRC, IIIT-H, Hyderabad, India dipti@iiit.ac.in", "Abstract Code-switching is a phenomenon of mixing grammatical structures of two or more languages under varied social constraints.", "The code-switching data differ so radically from t...
[ "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "method", "objective", "method", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "objective", ...
[ "Ethan Wilcox 1 , Peng Qian 2 , Richard Futrell 3 , Miguel Ballesteros 4 , and Roger Levy 2", "1 Department of Linguistics, Harvard University, wilcoxeg@g.harvard.edu 2 Department of Brain and Cognitive Sciences, MIT, { pqian,rplevy } @mit.edu 3 Department of Language Science, UC Irvine, rfutrell@uci.edu 4 IBM Re...
[ "abstain", "abstain", "abstain", "abstain", "objective", "method", "abstain", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "objective", "abstain",...
[ "The recent surge of text-based online counseling applications enables us to collect and analyze interactions between counselors and clients.", "A dataset of those interactions can be used to learn to automatically classify the client utterances into categories that help counselors in diagnosing client status and...
[ "method", "abstain", "objective", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "objective", "objective", "objective", "objective", "objective", "method", "method", "objective...
[ "Multilingual neural machine translation (NMT) enables training a single model that supports translation from multiple source languages into multiple target languages.", "In this paper, we push the limits of multilingual NMT in terms of the number of languages being used.", "We perform extensive experiments in ...
[ "abstain", "method", "method", "objective", "result", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "method", "abstain", "result", "method", "result", "method", "objective", "result", "result", ...
[ "The goal of database question answering is to enable natural language querying of real-life relational databases in diverse application domains.", "Recently, large-scale datasets such as Spider and WikiSQL facilitated novel modeling techniques for text-to-SQL parsing, improving zero-shot generalization to unseen...
[ "abstain", "abstain", "abstain", "objective", "method", "objective", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "ot...
[ "Although pretrained language models can be fine-tuned to produce state-of-the-art results for a very wide range of language understanding tasks, the dynamics of this process are not well understood, especially in the low data regime.", "Why can we use relatively vanilla gradient descent algorithms (e.g., without...
[ "abstain", "method", "method", "result", "result", "result", "method", "abstain", "abstain", "method", "abstain", "abstain", "objective", "result", "abstain", "objective", "result", "method", "method", "objective", "objective", "result", "objective", "result", "other"...
[ "Semantic parsing is the task of producing structured meaning representations for natural language sentences.", "Recent research has pointed out that the commonly-used sequence-to-sequence (seq2seq) semantic parsers struggle to generalize systematically, i.e. to handle examples that require recombining known know...
[ "abstain", "abstain", "result", "objective", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "other", "abstain", "objective", "abstain", "abstain", "method", "objective", "abstain", "abstain", "objective", "abstain", "objective", "result", ...
[ "Recent progress in Natural Language Understanding (NLU) has seen the latest models outperform human performance on many standard tasks.", "These impressive results have led the community to introspect on dataset limitations, and iterate on more nuanced challenges.", "In this paper, we introduce the task of Hea...
[ "abstain", "abstain", "abstain", "abstain", "objective", "result", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "other", "abstain", "abstain", "abstain", "method", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "method"...
[ "Code search is to search reusable code snippets from source code corpus based on natural languages queries.", "Deep learning-based methods on code search have shown promising results.", "However, previous methods focus on retrieval accuracy, but lacked attention to the efficiency of the retrieval process.", ...
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[ "The multimodality problem has become a major challenge of existing non-autoregressive generation (NAG) systems.", "A common solution often resorts to sequence-level knowledge distillation by rebuilding the training dataset through autoregressive generation (hereinafter known as teacher AG).", "The success of s...
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[ "The evolution of language follows the rule of gradual change.", "Grammar, vocabulary, and lexical semantic shifts take place over time, resulting in a diachronic linguistic gap.", "As such, a considerable amount of texts are written in languages of different eras, which creates obstacles for natural language p...
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[ "We present an annotation approach to capturing emotional and cognitive empathy in student-written peer reviews on business models in German.", "We propose an annotation scheme that allows us to model emotional and cognitive empathy scores based on three types of review components.", "Also, we conducted an anno...
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[ "Several studies have reported the inability of Transformer models to generalize compositionally, a key type of generalization in many NLP tasks such as semantic parsing.", "In this paper we explore the design space of Transformer models showing that the inductive biases given to the model by several design decis...
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[ "Zero-shot transfer learning for multi-domain dialogue state tracking can allow us to handle new domains without incurring the high cost of data acquisition.", "This paper proposes new zero-short transfer learning technique for dialogue state tracking where the in-domain training data are all synthesized from an ...
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[ "End-to-end simultaneous speech-to-text translation aims to directly perform translation from streaming source speech to target text with high translation quality and low latency.", "A typical simultaneous translation (ST) system consists of a speech translation model and a policy module, which determines when to...
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[ "bert2BERT: Towards Reusable Pretrained Language Models", "Abstract In recent years, researchers tend to pre-train ever-larger language models to explore the upper limit of deep models.", "However, large language model pre-training costs intensive computational resources, and most of the models are trained from...
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[ "Recently, contrastive learning has been shown to be effective in improving pre-trained language models (PLM) to derive high-quality sentence representations.", "It aims to pull close positive examples to enhance the alignment while push apart irrelevant negatives for the uniformity of the whole representation sp...
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[ "Understanding tables is an important aspect of natural language understanding.", "Existing models for table understanding require linearization of the table structure, where row or column order is encoded as an unwanted bias.", "Such spurious biases make the model vulnerable to row and column order perturbatio...
[ "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "result", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "abstain", "objective", "abstain", "abstain", "method", "a...
[ "Recently many efforts have been devoted to interpreting the black-box NMT models, but lit-tle progress has been made on metrics to evaluate explanation methods.", "Word Alignment Error Rate can be used as such a metric that matches human understanding, however, it can not measure explanation methods on those tar...
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