| Autor(es): Mostrar menos - |
Mariotti, Andre Costa
;
Paraboni, Ivandre
;
Declerck, T
;
Calzolari, N
;
Choukri, K
;
Cieri, C
;
Hasida, K
;
Isahara, H
;
Maegaard, B
;
Mariani, J
;
Moreno, A
;
Odijk, J
;
Piperidis, S
;
Tokunaga, T
;
Goggi, S
;
Mazo, H
Número total de Autores: 16
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018); v. N/A, p. 6-pg., 2018-01-01. |
| Resumo | |
In game-like applications and many others, an underlying Natural Language Generation system may have to express urgency or other dynamic aspects of a fast-evolving situation as text, which may be considerably different from text produced under so-called 'normal' circumstances (e.g., without time constrains). As a means to shed light on possible differences of this kind, this paper addresses the computational generation of natural language text in time-constrained communication by presenting two experiments that use the attribute selection task of definite descriptions (or Referring Expression Generation - REG) as a working example. In the first experiment, we describe a psycholinguistic study in which human participants are engaged in a time-constrained reference production task. This results in a corpus of time-constrained descriptions to be compared with 'normal' descriptions available from an existing (i.e., with no time constraint) REG corpus. In the second experiment, we discuss how a REG algorithm may be customised so as to produce time-constrained descriptions that resemble those produced by human speakers in similar situations. The proposed algorithm is then evaluated against the time-constrained descriptions produced by the human subjects in the first experiment, and it is shown to outperform standard approaches to REG in these conditions. (AU) | |
| Processo FAPESP: | 16/14223-0 - Tratamento Computacional da Personalidade Humana para Aplicações de Processamento de Língua Natural |
| Beneficiário: | Ivandre Paraboni |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |