Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual
To advance information extraction and question answering technologies toward a more realistic path, the U.S. NIST (National Institute of Standards and Technology) initiated the KBP (Knowledge Base Population) task as one of the TAC (Text Analysis Conference) evaluation tracks. It aims to encourage research in automatic information extraction of named entities from unstructured texts with the ultimate goal of integrating such information into a structured Knowledge Base. The KBP track consists of two types of evaluation: Named Entity Linking (NEL) and Slot Filling. This paper describes the linguistic resource creation efforts at the Linguistic Data Consortium (LDC) in support of Named Entity Linking evaluation of KBP, focusing on annotation methodologies, process, and features of corpora from 2009 to 2011, with a highlighted analysis of the cross-lingual NEL data. Progressing from monolingual to cross-lingual Entity Linking technologies, the 2011 cross-lingual NEL evaluation targeted multilingual capabilities. Annotation accuracy is presented in comparison with system performance, with promising results from cross-lingual entity linking systems.
Code (0)
등록된 구현이 없습니다.
Tasks
Cross-Lingual Entity LinkingEntity LinkingKnowledge Base PopulationNamed Entity Recognition (NER)Question Answeringslot-fillingSlot FillingSimilar Papers 제목 키워드 기반
CADEL: A Corpus of Administrative Web Documents for Japanese Entity Linking
Entity linking is the task of associating linguistic expressions with entries in a knowledge base that represent real-world entities and concepts. Language resources for this task have primarily been developed for Englis…
Entity DisambiguationEntity LinkingImproving Entity Linking using Surface Form Refinement
In this paper, we present an algorithm for improving named entity resolution and entity linking by using surface form generation and rewriting. Surface forms consist of a word or a group of words that matches lexical uni…
Entity LinkingEntity ResolutionFormNamed Entity Recognition (NER)+1Zero-shot Cross-Language Transfer of Monolingual Entity Linking Models
Most entity linking systems, whether mono or multilingual, link mentions to a single English knowledge base. Few have considered linking non-English text to a non-English KB, and therefore, transferring an English entity…
Cross-Lingual TransferEntity LinkingZero-Shot Cross-Lingual TransferContext-enhanced Adaptive Entity Linking
More and more knowledge bases are publicly available as linked data. Since these knowledge bases contain structured descriptions of real-world entities, they can be exploited by entity linking systems that anchor entity …
ArticlesEntity LinkingNamed Entity Resources - Overview and Outlook
Recognition of real-world entities is crucial for most NLP applications. Since its introduction some twenty years ago, named entity processing has undergone a significant evolution with, among others, the definition of n…
Entity Linking