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Memorias de investigación
Ponencias en congresos:
Reranking of responses using transfer learningfor a retrieval-based chatbot
Año:2019
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
This paper presents how to improve retrieval-based open-domain dialogue systems by re-ranking retrieved responses. The paper uses a retrieval based open domain dialogue system implemented previously, namely Iris chatbot as a case study. We investigate two approaches to re-rank the retrieved responses. The first approach trains a re-ranker using machine generated responses that were annotated by human participants through WOCHAT (Workshops and Session Series on Chatbots and Conversational Agents)1 and its shared-tasks [5], [6]. The second approach uses transfer learning by training the re-ranker on a large dataset from a different domain. We chose the Ubuntu dialogue dataset as the domain. The human evaluation test asked subjects to rank and review three different dialogue systems, the baseline Iris system, the Iris system enhanced with a re-ranker trained on WOCHAT data, and the Iris system enhanced with a re-ranker trained on the Ubuntu data. The Iris system enhanced with a re-ranker trained on WOCHAT data received the highest ratings from the human subjects.
Internacional
Si
Nombre congreso
Fourth Workshop on Chatbots and Conversational Agent Technologies and Dialogue Breakdown Detection Challenge (DBDC4)
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
pending
DOI
Fecha inicio congreso
24/04/2019
Fecha fin congreso
26/04/2019
Desde la página
1
Hasta la página
12
Título de las actas
Actas del Fourth Workshop on Chatbots and Conversational Agent Technologies and Dialogue Breakdown Detection Challenge (DBDC4)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Luis Fernando D'Haro Enriquez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica
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