Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
SpanBERT: Improving Pre-training by Representing and Predicting Spans
We present SpanBERT, a pre-training method that is designed to better represent and predict spans of text. Our approach extends BERT by (1) masking contiguous random spans, rather than random tokens, and (2) training the…
Coreference ResolutionLinguistic AcceptabilityNatural Language InferenceOpen-Domain Question Answering+6WinoGrande: An Adversarial Winograd Schema Challenge at Scale
The Winograd Schema Challenge (WSC) (Levesque, Davis, and Morgenstern 2011), a benchmark for commonsense reasoning, is a set of 273 expert-crafted pronoun resolution problems originally designed to be unsolvable for stat…
Common Sense ReasoningCoreference ResolutionQuestion AnsweringTransfer Learning+1Solving Hard Coreference Problems
Coreference resolution is a key problem in natural language understanding that still escapes reliable solutions. One fundamental difficulty has been that of resolving instances involving pronouns since they often require…
coreference-resolutionCoreference ResolutionDecision MakingNatural Language UnderstandingKnowledge-aware Pronoun Coreference Resolution
Resolving pronoun coreference requires knowledge support, especially for particular domains (e.g., medicine). In this paper, we explore how to leverage different types of knowledge to better resolve pronoun coreference w…
coreference-resolutionCoreference ResolutionKnowledge GraphsWikipedia as a Resource for Text Analysis and Retrieval
This tutorial examines the role of Wikipedia in tasks related to text analysis and retrieval. Text analysis tasks, which take advantage of Wikipedia, include coreference resolution, word sense and entity disambiguation a…
Clusteringcoreference-resolutionCoreference ResolutionEntity Disambiguation+3End-to-end Deep Reinforcement Learning Based Coreference Resolution
Recent neural network models have significantly advanced the task of coreference resolution. However, current neural coreference models are usually trained with heuristic loss functions that are computed over a sequence …
coreference-resolutionCoreference ResolutionDeep Reinforcement Learningreinforcement-learning+2Coreference Resolution with Entity Equalization
A key challenge in coreference resolution is to capture properties of entity clusters, and use those in the resolution process. Here we provide a simple and effective approach for achieving this, via an {``}Entity Equali…
coreference-resolutionCoreference ResolutionCrowdsourcing and Aggregating Nested Markable Annotations
One of the key steps in language resource creation is the identification of the text segments to be annotated, or markables, which depending on the task may vary from nominal chunks for named entity resolution to (potent…
coreference-resolutionCoreference ResolutionEntity ResolutionText SegmentationR\'esolution des cor\'ef\'erences neuronale : une approche bas\'ee sur les t\^etes (Neural coreference resolution : a head-based approach)
L{'}av{\`e}nement des approches neuronales de bout en bout a entra{\^\i}n{\'e} une rupture dans la fa{\c{c}}on dont {\'e}tait jusqu{'}{\`a} pr{\'e}sent envisag{\'e}e et impl{\'e}ment{\'e}e la t{\^a}che de r{\'e}solution …
coreference-resolutionCoreference ResolutionD\'etection automatique de cha\^\ines de cor\'ef\'erence pour le fran\ccais \'ecrit: r\`egles et ressources adapt\'ees au rep\'erage de ph\'enom\`enes linguistiques sp\'ecifiques (Automatic coreference resolution for written French : rules and resources for specific linguistic phenomena)
Nous pr{\'e}sentons un syst{\`e}me end-to-end de d{\'e}tection automatique des cha{\^\i}nes de cor{\'e}f{\'e}rence, {\`a} base de r{\`e}gles, pour le fran{\c{c}}ais {\'e}crit. Ce syst{\`e}me insiste sur la prise en compt…
coreference-resolutionCoreference ResolutionUsing Thesaurus Data to Improve Coreference Resolution for Russian
Semantic information about entities, specifically, how close in meaning two mentions are to each other, can become very useful for the task of co-reference resolution. One of the most well-researched and widely used form…
coreference-resolutionCoreference ResolutionSemantic SimilaritySemantic Textual SimilarityModel-based annotation of coreference
Humans do not make inferences over texts, but over models of what texts are about. When annotators are asked to annotate coreferent spans of text, it is therefore a somewhat unnatural task. This paper presents an alterna…
coreference-resolutionCoreference ResolutionmodelUsing Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection
The common practice in coreference resolution is to identify and evaluate the maximum span of mentions. The use of maximum spans tangles coreference evaluation with the challenges of mention boundary detection like prepo…
Boundary Detectioncoreference-resolutionCoreference ResolutionPrepositional Phrase AttachmentImproving Multi-turn Dialogue Modelling with Utterance ReWriter
Recent research has made impressive progress in single-turn dialogue modelling. In the multi-turn setting, however, current models are still far from satisfactory. One major challenge is the frequently occurred coreferen…
Coreference ResolutionDialogue RewritingGendered Pronoun Resolution using BERT and an extractive question answering formulation
The resolution of ambiguous pronouns is a longstanding challenge in Natural Language Understanding. Recent studies have suggested gender bias among state-of-the-art coreference resolution systems. As an example, Google A…
coreference-resolutionCoreference ResolutionExtractive Question-AnsweringMultiple-choice+2Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
Recognizing coreferring events and entities across multiple texts is crucial for many NLP applications. Despite the task's importance, research focus was given mostly to within-document entity coreference, with rather li…
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionEntity Cross-Document Coreference Resolution+3Evaluating Gender Bias in Machine Translation
We present the first challenge set and evaluation protocol for the analysis of gender bias in machine translation (MT). Our approach uses two recent coreference resolution datasets composed of English sentences which cas…
coreference-resolutionCoreference ResolutionMachine TranslationMorphological Analysis+1Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling
This paper presents a strong set of results for resolving gendered ambiguous pronouns on the Gendered Ambiguous Pronouns shared task. The model presented here draws upon the strengths of state-of-the-art language and cor…
coreference-resolutionCoreference ResolutionResolving Gendered Ambiguous Pronouns with BERT
Pronoun resolution is part of coreference resolution, the task of pairing an expression to its referring entity. This is an important task for natural language understanding and a necessary component of machine translati…
coreference-resolutionCoreference ResolutionMachine TranslationNatural Language Understanding+1Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data
Argument compatibility is a linguistic condition that is frequently incorporated into modern event coreference resolution systems. If two event mentions have incompatible arguments in any of the argument roles, they cann…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionTransfer Learning