Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Reasoning Over History: Context Aware Visual Dialog
While neural models have been shown to exhibit strong performance on single-turn visual question answering (VQA) tasks, extending VQA to a multi-turn, conversational setting remains a challenge. One way to address this c…
coreference-resolutionCoreference ResolutionQuestion AnsweringVisual Dialog+2Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art
Despite the significant progress on entity coreference resolution observed in recent years, there is a general lack of understanding of what has been improved. We present an empirical analysis of state-of-the-art resolve…
coreference-resolutionCoreference ResolutionPre-training Mention Representations in Coreference Models
Collecting labeled data for coreference resolution is a challenging task, requiring skilled annotators. It is thus desirable to develop coreference resolution models that can make use of unlabeled data. Here we provide s…
coreference-resolutionCoreference ResolutionAdapting Coreference Resolution to Twitter Conversations
The performance of standard coreference resolution is known to drop significantly on Twitter texts. We improve the performance of the (Lee et al., 2018) system, which is originally trained on OntoNotes, by retraining on …
coreference-resolutionCoreference ResolutionFast End-to-end Coreference Resolution for Korean
Recently, end-to-end neural network-based approaches have shown significant improvements over traditional pipeline-based models in English coreference resolution. However, such advancements came at a cost of computationa…
coreference-resolutionCoreference ResolutionKnowledge DistillationExploring Span Representations in Neural Coreference Resolution
In coreference resolution, span representations play a key role to predict coreference links accurately. We present a thorough examination of the span representation derived by applying BERT on coreference resolution (Jo…
coreference-resolutionCoreference ResolutionExploring Coreference Features in Heterogeneous Data
The present paper focuses on variation phenomena in coreference chains. We address the hypothesis that the degree of structural variation between chain elements depends on language-specific constraints and preferences an…
coreference-resolutionCoreference Resolutionfeature selectionMachine Translation+3Evaluation of Coreference Resolution Systems Under Adversarial Attacks
A substantial overlap of coreferent mentions in the CoNLL dataset magnifies the recent progress on coreference resolution. This is because the CoNLL benchmark fails to evaluate the ability of coreference resolvers that r…
coreference-resolutionCoreference ResolutionCoreference for Discourse Parsing: A Neural Approach
We present preliminary results on investigating the benefits of coreference resolution features for neural RST discourse parsing by considering different levels of coupling of the discourse parser with the coreference re…
coreference-resolutionCoreference ResolutionDiscourse ParsingFree the Plural: Unrestricted Split-Antecedent Anaphora Resolution
Now that the performance of coreference resolvers on the simpler forms of anaphoric reference has greatly improved, more attention is devoted to more complex aspects of anaphora. One limitation of virtually all coreferen…
coreference-resolutionCoreference ResolutionTransfer LearningNeural Coreference Resolution for Arabic
No neural coreference resolver for Arabic exists, in fact we are not aware of any learning-based coreference resolver for Arabic since (Bjorkelund and Kuhn, 2014). In this paper, we introduce a coreference resolution sys…
coreference-resolutionCoreference ResolutionOn Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
Fine-tuned language models have been shown to exhibit biases against protected groups in a host of modeling tasks such as text classification and coreference resolution. Previous works focus on detecting these biases, re…
coreference-resolutionCoreference ResolutionFairnessHate Speech Detection+6Pairwise Representation Learning for Event Coreference
Natural Language Processing tasks such as resolving the coreference of events require understanding the relations between two text snippets. These tasks are typically formulated as (binary) classification problems over i…
Binary ClassificationCoreference ResolutionEvent Cross-Document Coreference ResolutionRepresentation LearningWhat more can Entity Linking do for Question Answering?
We introduce a new NLP task–noun phrase linking (NPL)–which is a subset of entity linking and expands named entity linking (NEL) to link all noun phrases in a document to an external knowledge base. Our task is an expans…
coreference-resolutionCoreference ResolutionEntity LinkingQuestion AnsweringUsing Type Information to Improve Entity Coreference Resolution
Coreference resolution (CR) is an essential part of discourse analysis. Most recently, neural approaches have been proposed to improve over SOTA models from earlier paradigms. So far none of the published neural models l…
coreference-resolutionCoreference ResolutionVocal Bursts Type PredictionJoint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
Coreference resolution and semantic role labeling are NLP tasks that capture different aspects of semantics, indicating respectively, which expressions refer to the same entity, and what semantic roles expressions serve …
coreference-resolutionCoreference ResolutionNatural Language UnderstandingSemantic Role Labeling+1Discourse structure interacts with reference but not syntax in neural language models
Language models (LMs) trained on large quantities of text have been claimed to acquire abstract linguistic representations. Our work tests the robustness of these abstractions by focusing on the ability of LMs to learn i…
coreference-resolutionCoreference ResolutionLanguage ModelingLanguage ModellingA Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
Recent models achieve promising results in visually grounded dialogues. However, existing datasets often contain undesirable biases and lack sophisticated linguistic analyses, which make it difficult to understand how we…
Coreference ResolutionNatural Language Visual GroundingSpatial Relation RecognitionLearning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
Long document coreference resolution remains a challenging task due to the large memory and runtime requirements of current models. Recent work doing incremental coreference resolution using just the global representatio…
Coreference ResolutionManagementCoRefi: A Crowd Sourcing Suite for Coreference Annotation
Coreference annotation is an important, yet expensive and time consuming, task, which often involved expert annotators trained on complex decision guidelines. To enable cheaper and more efficient annotation, we present C…
Coreference ResolutionCross Document Coreference Resolution