Ecole d'ingénieur et centre de recherche en Sciences du numérique

An experimental study of a hybrid entity recognition and linking system

Plu, Julien; Rizzo Giuseppe; Troncy, Raphaël

ISWC 2015, 14th International Semantic Web Conference, Poster Demo Session, October 11-15, 2015, Bethlehem, Pennsylvania, USA

We present an experimental study of the performance of a hybrid semantic and linguistic system for recognizing and linking entities from formal and informal texts. In the current literature, systems are generally tailored to one or a few types of textual documents (e.g. narrative texts, newswire articles, informal text such as microposts). In contrast, we assess the performance of a hybrid approach that adapts the entity extraction, recognition and linking process to the type of document being analyzed. The hybrid system relies on POS taggers, gazetteers and Twitter user account dereferencing modules to extract entities, NER modules to recognize and type entities and entity popularity, string distance measures and scoring functions to disambiguate entities by ranking potential link candidates. The evaluation results show the robustness of our proposed approach in terms of text-independence compared to the current state-of-the art.

Document Bibtex

Titre:An experimental study of a hybrid entity recognition and linking system
Mots Clés:Entity Extraction, Entity Linking, Entity Recognition, Entity Filtering
Type:Poster / Demo
Langue:English
Ville:Bethlehem
Pays:ÉTATS-UNIS
Date:
Département:Data Science
Eurecom ref:4676
Copyright: © Springer. Personal use of this material is permitted. The definitive version of this paper was published in ISWC 2015, 14th International Semantic Web Conference, Poster Demo Session, October 11-15, 2015, Bethlehem, Pennsylvania, USA and is available at :
Bibtex: @poster / demo{EURECOM+4676, year = {2015}, title = {{A}n experimental study of a hybrid entity recognition and linking system}, author = {{P}lu, {J}ulien and {R}izzo {G}iuseppe and {T}roncy, {R}apha{\"e}l}, number = {EURECOM+4676}, month = {10}, institution = {Eurecom} address = {{B}ethlehem, {\'{E}}{TATS}-{UNIS}}, url = {http://www.eurecom.fr/publication/4676} }
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