Neural Coreference Resolution with Limited Lexical Context and Explicit Mention Detection for Oral French
We propose an end-to-end coreference resolution system obtained by adapting neural models that have recently improved the state-of-the-art on the OntoNotes benchmark to make them applicable to other paradigms for this task. We report the performances of our system on ANCOR, a corpus of transcribed oral French, for which it constitutes a new baseline with proper evaluation.
Code (0)
등록된 구현이 없습니다.
Tasks
coreference-resolutionCoreference ResolutionSimilar Papers 제목 키워드 기반
Lexical Features in Coreference Resolution: To be Used With Caution
Lexical features are a major source of information in state-of-the-art coreference resolvers. Lexical features implicitly model some of the linguistic phenomena at a fine granularity level. They are especially useful for…
coreference-resolutionCoreference ResolutionTowards Evaluation of Cross-document Coreference Resolution Models Using Datasets with Diverse Annotation Schemes
Established cross-document coreference resolution (CDCR) datasets contain event-centric coreference chains of events and entities with identity relations. These datasets establish strict definitions of the coreference re…
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionDiversityCoreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural Network
Neural network has shown promising performance on coreference resolution systems that uses mention pair method. With deep neural network, it can learn hidden and deep relations between two mentions. However, there is no …
coreference-resolutionCoreference ResolutionWord EmbeddingsWhat happens before and after: Multi-Event Commonsense in Event Coreference Resolution
Event coreference models cluster event mentions pertaining to the same real-world event. Recent models rely on contextualized representations to recognize coreference among lexically or contextually similar mentions. How…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionSentenceRevisiting 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+3