A Conversational Agent Powered by Online Learning

被引：0

作者：

Mendonca, Vania ^{[1
]}

Melo, Francisco S. ^{[1
]}

Coheur, Luisa ^{[1
]}

Sardinha, Alberto ^{[1
]}

机构：

[1] INESC ID, Inst Super Tecn, Ave Prof Doutor Anibal Cavaco Silva, Porto Salvo, Portugal

来源：

AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS | 2017年

关键词：

Conversational agents; online learning; Exponentially Weighted Average Forecaster;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, we improve the performance of a dialogue engine, Say Something Smart, using online learning. Given a request by a user, this engine selects an answer from a corpus of movie subtitles, weighting the quality of each candidate answer according to several criteria and selecting the one that is chosen by the most representative criteria. We contribute with an online approach, using sequential learning, that adjusts the weights of the different criteria using a reference corpus of actual dialogues as input to simulate user feedback. This approach effectively allowed Say Something Smart to improve its performance at each interaction, as shown in an experiment performed in a test corpus.

引用

页码：1637 / 1639

页数：3

共 12 条

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