Generating overspecified referring expressions: the role of discrimination (2015)
- Authors:
- Autor USP: PARABONI, IVANDRE - EACH
- Unidade: EACH
- Subjects: LINGUAGEM NATURAL; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: ACL
- Publisher place: Stroudsburg
- Date published: 2015
- Source:
- Título do periódico: Proceedings
- Volume/Número/Paginação/Ano: p. 76-82
- Conference titles: Annual Meeting of the Association for Computational Linguistics
-
ABNT
PARABONI, Ivandré e GALINDO, Michelle Reis e IACOVELLI, Douglas. Generating overspecified referring expressions: the role of discrimination. 2015, Anais.. Stroudsburg: ACL, 2015. p. 76-82. Disponível em: http://www.anthology.aclweb.org/P/P15/P15-2013.pdf. Acesso em: 23 abr. 2024. -
APA
Paraboni, I., Galindo, M. R., & Iacovelli, D. (2015). Generating overspecified referring expressions: the role of discrimination. In Proceedings (p. 76-82). Stroudsburg: ACL. Recuperado de http://www.anthology.aclweb.org/P/P15/P15-2013.pdf -
NLM
Paraboni I, Galindo MR, Iacovelli D. Generating overspecified referring expressions: the role of discrimination [Internet]. Proceedings. 2015 ; 76-82.[citado 2024 abr. 23 ] Available from: http://www.anthology.aclweb.org/P/P15/P15-2013.pdf -
Vancouver
Paraboni I, Galindo MR, Iacovelli D. Generating overspecified referring expressions: the role of discrimination [Internet]. Proceedings. 2015 ; 76-82.[citado 2024 abr. 23 ] Available from: http://www.anthology.aclweb.org/P/P15/P15-2013.pdf - Zoom: a corpus of natural language descriptions of map locations
- EACH-USP Ensemble Cross-Domain Authorship Attribution
- Gerando expressões de referência com a "quantidade certa" de informação
- The design of an experiment in anaphora resolution for referring expressions generation
- Portuguese text generation using factored language models
- Generating relational descriptions involving mutual disambiguation
- Detecção de quebras em diálogos humano-computador
- Combining frequent and discriminating attributes in the generation of definite descriptions
- Using ‘low-cost’ learning features for pronoun resolution
- Portuguese text generation from large corpora
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