{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T11:10:58Z","timestamp":1768993858829,"version":"3.49.0"},"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>\u00a0Human-computer conversation systems have attracted much attention in Natural Language Processing. Conversation systems can be roughly divided into two categories: retrieval-based and generation-based systems. Retrieval systems search a user-issued utterance (namely a query ) in a large conversational repository and return a reply that best matches the query. Generative approaches synthesize new replies. Both ways have certain advantages but suffer from their own disadvantages. We propose a novel ensemble of retrieval-based and generation-based conversation system. The retrieved candidates, in addition to the original query, are fed to a reply generator via a neural network, so that the model is aware of more information. The generated reply together with the retrieved ones then participates in a re-ranking process to find the final reply to output. Experimental results show that such an ensemble system outperforms each single module by a large margin.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/609","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:49:10Z","timestamp":1530755350000},"page":"4382-4388","source":"Crossref","is-referenced-by-count":53,"title":["An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems"],"prefix":"10.24963","author":[{"given":"Yiping","family":"Song","sequence":"first","affiliation":[{"name":"Institute of Network Computing and Information Systems, School of EECS, Peking University, China"}]},{"given":"Cheng-Te","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Statistics, National Cheng Kung University, Taiwan"}]},{"given":"Jian-Yun","family":"Nie","sequence":"additional","affiliation":[{"name":"University of Montreal, Canada"}]},{"given":"Ming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Network Computing and Information Systems, School of EECS, Peking University, China"}]},{"given":"Dongyan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Computer Science and Technology, Peking University, China"}]},{"given":"Rui","family":"Yan","sequence":"additional","affiliation":[{"name":"Institute of Computer Science and Technology, Peking University, China"}]}],"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":"2018-07-05T01:54:27Z","timestamp":1530755667000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/609"}},"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\/609","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}