Named Entities in the QTLeap Corpus of Online Helpdesk Interactions

In this paper we present the annotation of a corpus with named entities that are classified into semantic types and disambiguated by linking them to their corresponding entry in the Portuguese DBpedia. This corpus, QTLeap Corpus, is a multilingual collection of question and answer pairs from a chat-...

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Detalhes bibliográficos
Autor principal: Querido, Andreia (author)
Outros Autores: Carvalho, Rita de (author), Rodrigues, João (author), Silva, João (author), Neale, Steven (author), Pereira, Rita (author), Gomes, Patrícia (author), Correia, Catarina (author), Amaral, Diana (author), Branco, António (author)
Formato: article
Idioma:eng
Publicado em: 2018
Assuntos:
Annotated corpus
QTLeap Corpus
Named entities
Annotation task
Disambiguation task
Texto completo:http://hdl.handle.net/10451/33105
País:Portugal
Oai:oai:repositorio.ul.pt:10451/33105
Descrição
Resumo:In this paper we present the annotation of a corpus with named entities that are classified into semantic types and disambiguated by linking them to their corresponding entry in the Portuguese DBpedia. This corpus, QTLeap Corpus, is a multilingual collection of question and answer pairs from a chat-based helpdesk service for Information and Communication Technologies. The resulting annotated corpus is a gold-standard named entity annotated lexical resource that is useful in supporting the training and evaluation of named entity annotation and disambiguation tools for Portuguese.

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