We present persona-based models for handling the issue of speaker consistency
in neural response generation. A speaker model encodes personas in distributed
embeddings that capture individual characteristics such as background
information and speaking style. A dyadic speaker-addressee model captures
properties of interactions between two interlocutors. Our models yield
qualitative performance improvements in both perplexity and BLEU scores over
baseline sequence-to-sequence models, with similar gains in speaker consistency
as measured by human judges.
%0 Generic
%1 li2016personabased
%A Li, Jiwei
%A Galley, Michel
%A Brockett, Chris
%A Spithourakis, Georgios P.
%A Gao, Jianfeng
%A Dolan, Bill
%D 2016
%K chat conversation model wj2017
%T A Persona-Based Neural Conversation Model
%U http://arxiv.org/abs/1603.06155
%X We present persona-based models for handling the issue of speaker consistency
in neural response generation. A speaker model encodes personas in distributed
embeddings that capture individual characteristics such as background
information and speaking style. A dyadic speaker-addressee model captures
properties of interactions between two interlocutors. Our models yield
qualitative performance improvements in both perplexity and BLEU scores over
baseline sequence-to-sequence models, with similar gains in speaker consistency
as measured by human judges.
@misc{li2016personabased,
abstract = {We present persona-based models for handling the issue of speaker consistency
in neural response generation. A speaker model encodes personas in distributed
embeddings that capture individual characteristics such as background
information and speaking style. A dyadic speaker-addressee model captures
properties of interactions between two interlocutors. Our models yield
qualitative performance improvements in both perplexity and BLEU scores over
baseline sequence-to-sequence models, with similar gains in speaker consistency
as measured by human judges.},
added-at = {2017-05-03T15:12:50.000+0200},
author = {Li, Jiwei and Galley, Michel and Brockett, Chris and Spithourakis, Georgios P. and Gao, Jianfeng and Dolan, Bill},
biburl = {https://www.bibsonomy.org/bibtex/240988a3f8b74ca8e030b98e0cc4a8211/hotho},
description = {A Persona-Based Neural Conversation Model},
interhash = {4e0a57892428075c3fd141e037fad230},
intrahash = {40988a3f8b74ca8e030b98e0cc4a8211},
keywords = {chat conversation model wj2017},
note = {cite arxiv:1603.06155Comment: Accepted for publication at ACL 2016},
timestamp = {2017-05-03T15:12:50.000+0200},
title = {A Persona-Based Neural Conversation Model},
url = {http://arxiv.org/abs/1603.06155},
year = 2016
}