Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Entity Candidate Network for Whole-Aware Named Entity Recognition
Named Entity Recognition (NER) is a crucial upstream task in Natural Language Processing (NLP). Traditional tag scheme approaches offer a single recognition that does not meet the needs of many downstream tasks such as c…
coreference-resolutionCoreference Resolutionnamed-entity-recognitionNamed Entity Recognition+6Active Learning for Coreference Resolution using Discrete Annotation
We improve upon pairwise annotation for active learning in coreference resolution, by asking annotators to identify mention antecedents if a presented mention pair is deemed not coreferent. This simple modification, when…
Active LearningClusteringcoreference-resolutionCoreference ResolutionTowards Discourse Parsing-inspired Semantic Storytelling
Previous work of ours on Semantic Storytelling uses text analytics procedures including Named Entity Recognition and Event Detection. In this paper, we outline our longer-term vision on Semantic Storytelling and describe…
coreference-resolutionCoreference ResolutionDiscourse ParsingEvent Detection+5Generative Data Augmentation for Commonsense Reasoning
Recent advances in commonsense reasoning depend on large-scale human-annotated training data to achieve peak performance. However, manual curation of training examples is expensive and has been shown to introduce annotat…
Common Sense ReasoningCoreference ResolutionData AugmentationOut-of-Distribution Generalization+3A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis
Despite the rapid development of natural language processing (NLP) implementation in electronic medical records (EMRs), Chinese EMRs processing remains challenging due to the limited corpus and specific grammatical chara…
Computed Tomography (CT)Coreference Resolutionnamed-entity-recognitionNamed Entity Recognition+1TTTTTackling WinoGrande Schemas
We applied the T5 sequence-to-sequence model to tackle the AI2 WinoGrande Challenge by decomposing each example into two input text strings, each containing a hypothesis, and using the probabilities assigned to the "enta…
Coreference ResolutionWinograndeStanza: A Python Natural Language Processing Toolkit for Many Human Languages
We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages. Compared to existing widely used toolkits, Stanza features a language-agnostic fully neural pipeline for text …
Coreference ResolutionDependency ParsingLemmatizationNamed Entity Recognition+2Multi-task Learning Based Neural Bridging Reference Resolution
We propose a multi task learning-based neural model for resolving bridging references tackling two key challenges. The first challenge is the lack of large corpora annotated with bridging references. To address this, we …
coreference-resolutionCoreference ResolutionMulti-Task LearningAn Annotated Dataset of Coreference in English Literature
We present in this work a new dataset of coreference annotations for works of literature in English, covering 29,103 mentions in 210,532 tokens from 100 works of fiction. This dataset differs from previous coreference da…
Coreference ResolutionA Causal Inference Method for Reducing Gender Bias in Word Embedding Relations
Word embedding has become essential for natural language processing as it boosts empirical performances of various tasks. However, recent research discovers that gender bias is incorporated in neural word embeddings, and…
Causal Inferencecoreference-resolutionCoreference ResolutionSentence+1A Cluster Ranking Model for Full Anaphora Resolution
Anaphora resolution (coreference) systems designed for the CONLL 2012 dataset typically cannot handle key aspects of the full anaphora resolution task such as the identification of singletons and of certain types of non-…
Coreference ResolutionAn Annotated Corpus of Reference Resolution for Interpreting Common Grounding
Common grounding is the process of creating, repairing and updating mutual understandings, which is a fundamental aspect of natural language conversation. However, interpreting the process of common grounding is a challe…
Coreference ResolutionGoal-Oriented DialogNatural Language UnderstandingVisual DialogMulti-Sentence Argument Linking
We present a novel document-level model for finding argument spans that fill an event's roles, connecting related ideas in sentence-level semantic role labeling and coreference resolution. Because existing datasets for c…
coreference-resolutionCoreference ResolutionSemantic Role LabelingSentence+1Coreference Resolution as Query-based Span Prediction
In this paper, we present an accurate and extensible approach for the coreference resolution task. We formulate the problem as a span prediction task, like in machine reading comprehension (MRC): A query is generated for…
coreference-resolutionCoreference ResolutionData AugmentationMachine Reading Comprehension+2Y'all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
Distinguishing between singular and plural {``}you{''} in English is a challenging task which has potential for downstream applications, such as machine translation or coreference resolution. While formal written English…
coreference-resolutionCoreference ResolutionMachine TranslationTranslationCRAFT Shared Tasks 2019 Overview --- Integrated Structure, Semantics, and Coreference
As part of the BioNLP Open Shared Tasks 2019, the CRAFT Shared Tasks 2019 provides a platform to gauge the state of the art for three fundamental language processing tasks {---} dependency parse construction, coreference…
Articlescoreference-resolutionCoreference ResolutionDependency Parsing+2Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering
This paper describes our system developed for the coreference resolution task of the CRAFT Shared Tasks 2019. The CRAFT corpus is more challenging than other existing corpora because it contains full text articles. We ha…
Articlescoreference-resolutionCoreference ResolutionLanguage Modeling+1Toward Gender-Inclusive Coreference Resolution
Correctly resolving textual mentions of people fundamentally entails making inferences about those people. Such inferences raise the risk of systemic biases in coreference resolution systems, including biases that can ha…
coreference-resolutionCoreference ResolutionSociologyYall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
Distinguishing between singular and plural "you" in English is a challenging task which has potential for downstream applications, such as machine translation or coreference resolution. While formal written English does …
coreference-resolutionCoreference ResolutionMachine TranslationTranslationExploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has emerged as a powerful technique in natural language processing (NLP). The effectiveness of trans…
Answer GenerationCommon Sense ReasoningCoreference ResolutionDiversity+12