{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:04:18Z","timestamp":1774368258342,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>Endowing a chatbot with personality is challenging but significant to deliver more realistic and natural conversations. In this paper, we address the issue of generating responses that are coherent to a pre-specified personality or profile. We present a method that uses generic conversation data from social media (without speaker identities) to generate profile-coherent responses. The central idea is to detect whether a profile should be used when responding to a user post (by a profile detector), and if necessary, select a key-value pair from the profile to generate a response forward and backward (by a bidirectional decoder) so that a personality-coherent response can be generated. Furthermore, in order to train the bidirectional decoder with generic dialogue data, a position detector is designed to predict a word position from which decoding should start given a profile value. Manual and automatic evaluation shows that our model can deliver more coherent, natural, and diversified responses.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/595","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:49:10Z","timestamp":1530769750000},"page":"4279-4285","source":"Crossref","is-referenced-by-count":72,"title":["Assigning Personality\/Profile to a Chatting Machine for Coherent Conversation Generation"],"prefix":"10.24963","author":[{"given":"Qiao","family":"Qian","sequence":"first","affiliation":[{"name":"Conversational AI Group, AI Lab., Dept. of Computer Science, Tsinghua University, Beijing National Research Center for Information Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minlie","family":"Huang","sequence":"additional","affiliation":[{"name":"Conversational AI Group, AI Lab., Dept. of Computer Science, Tsinghua University, Beijing National Research Center for Information Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haizhou","family":"Zhao","sequence":"additional","affiliation":[{"name":"Sogou, Inc. , Beijing 100084, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingfang","family":"Xu","sequence":"additional","affiliation":[{"name":"Sogou, Inc. , Beijing 100084, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Conversational AI Group, AI Lab., Dept. of Computer Science, Tsinghua University, Beijing National Research Center for Information Science and Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","theme":"Artificial Intelligence","location":"Stockholm, Sweden","acronym":"IJCAI-2018","number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2018,7,13]]},"end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:54:18Z","timestamp":1530770058000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/595"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/595","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}