CorefUD 1.0: Coreference Meets Universal Dependencies
Recent advances in standardization for annotated language resources have led to successful large scale efforts, such as the Universal Dependencies (UD) project for multilingual syntactically annotated data. By comparison, the important task of coreference resolution, which clusters multiple mentions of entities in a text, has yet to be standardized in terms of data formats or annotation guidelines. In this paper we present CorefUD, a multilingual collection of corpora and a standardized format for coreference resolution, compatible with morphosyntactic annotations in the UD framework and including facilities for related tasks such as named entity recognition, which forms a first step in the direction of convergence for coreference resolution across languages.
Code (0)
등록된 구현이 없습니다.
Tasks
coreference-resolutionCoreference Resolutionnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Similar Papers 제목 키워드 기반
Investigating Multilingual Coreference Resolution by Universal Annotations
Multilingual coreference resolution (MCR) has been a long-standing and challenging task. With the newly proposed multilingual coreference dataset, CorefUD (Nedoluzhko et al., 2022), we conduct an investigation into the t…
coreference-resolutionCoreference ResolutionExploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD
Coreference resolution, the task of identifying expressions in text that refer to the same entity, is a critical component in various natural language processing applications. This paper presents a novel end-to-end neura…
coreference-resolutionCoreference ResolutionCross-Lingual TransferMultilingual Coreference Resolution with Harmonized Annotations
In this paper, we present coreference resolution experiments with a newly created multilingual corpus CorefUD. We focus on the following languages: Czech, Russian, Polish, German, Spanish, and Catalan. In addition to mon…
coreference-resolutionCoreference ResolutionFindings of the Shared Task on Multilingual Coreference Resolution
This paper presents an overview of the shared task on multilingual coreference resolution associated with the CRAC 2022 workshop. Shared task participants were supposed to develop trainable systems capable of identifying…
Clusteringcoreference-resolutionCoreference ResolutionFindings of the Third Shared Task on Multilingual Coreference Resolution
The paper presents an overview of the third edition of the shared task on multilingual coreference resolution, held as part of the CRAC 2024 workshop. Similarly to the previous two editions, the participants were challen…
coreference-resolutionCoreference Resolution