Loading…
Recent advances and challenges in task-oriented dialog systems
Due to the significance and value in human-computer interaction and natural language processing, task-oriented dialog systems are attracting more and more attention in both academic and industrial communities. In this paper, we survey recent advances and challenges in task-oriented dialog systems. W...
Saved in:
Published in: | Science China. Technological sciences 2020-10, Vol.63 (10), p.2011-2027 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c359t-3110330bf735ee3824bbece8b25cfd4041bd8bd6a5530fdd66eccfc916bf04e13 |
---|---|
cites | cdi_FETCH-LOGICAL-c359t-3110330bf735ee3824bbece8b25cfd4041bd8bd6a5530fdd66eccfc916bf04e13 |
container_end_page | 2027 |
container_issue | 10 |
container_start_page | 2011 |
container_title | Science China. Technological sciences |
container_volume | 63 |
creator | Zhang, Zheng Takanobu, Ryuichi Zhu, Qi Huang, MinLie Zhu, XiaoYan |
description | Due to the significance and value in human-computer interaction and natural language processing, task-oriented dialog systems are attracting more and more attention in both academic and industrial communities. In this paper, we survey recent advances and challenges in task-oriented dialog systems. We also discuss three critical topics for task-oriented dialog systems: (1) improving data efficiency to facilitate dialog modeling in low-resource settings, (2) modeling multi-turn dynamics for dialog policy learning to achieve better task-completion performance, and (3) integrating domain ontology knowledge into the dialog model. Besides, we review the recent progresses in dialog evaluation and some widely-used corpora. We believe that this survey, though incomplete, can shed a light on future research in task-oriented dialog systems. |
doi_str_mv | 10.1007/s11431-020-1692-3 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2452109001</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2452109001</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-3110330bf735ee3824bbece8b25cfd4041bd8bd6a5530fdd66eccfc916bf04e13</originalsourceid><addsrcrecordid>eNp1UEtLAzEQDqJgqf0B3hY8R2eSbHb3IkjxBQVB9BzyrFu3uzXZCv33pqzgybnMDHwPvo-QS4RrBKhuEqLgSIEBRdkwyk_IDGvZUGwATvMtK0ErzvCcLFLaQB5eN4BiRm5fvfX9WGj3rXvrU6F7V9gP3XW-X-e37YtRp086xDbDvCtcq7thXaRDGv02XZCzoLvkF797Tt4f7t-WT3T18vi8vFtRy8tmpBwROAcTKl56z2smjMm-tWGlDU6AQONq46QuSw7BOSm9tcE2KE0A4ZHPydWku4vD196nUW2GfeyzpWKiZAg56BGFE8rGIaXog9rFdqvjQSGoY1NqakrlptSxKcUzh02clLE5cvxT_p_0AwOcavM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2452109001</pqid></control><display><type>article</type><title>Recent advances and challenges in task-oriented dialog systems</title><source>Springer Link</source><creator>Zhang, Zheng ; Takanobu, Ryuichi ; Zhu, Qi ; Huang, MinLie ; Zhu, XiaoYan</creator><creatorcontrib>Zhang, Zheng ; Takanobu, Ryuichi ; Zhu, Qi ; Huang, MinLie ; Zhu, XiaoYan</creatorcontrib><description>Due to the significance and value in human-computer interaction and natural language processing, task-oriented dialog systems are attracting more and more attention in both academic and industrial communities. In this paper, we survey recent advances and challenges in task-oriented dialog systems. We also discuss three critical topics for task-oriented dialog systems: (1) improving data efficiency to facilitate dialog modeling in low-resource settings, (2) modeling multi-turn dynamics for dialog policy learning to achieve better task-completion performance, and (3) integrating domain ontology knowledge into the dialog model. Besides, we review the recent progresses in dialog evaluation and some widely-used corpora. We believe that this survey, though incomplete, can shed a light on future research in task-oriented dialog systems.</description><identifier>ISSN: 1674-7321</identifier><identifier>EISSN: 1869-1900</identifier><identifier>DOI: 10.1007/s11431-020-1692-3</identifier><language>eng</language><publisher>Beijing: Science China Press</publisher><subject>Engineering ; Modelling ; Natural language processing ; Review</subject><ispartof>Science China. Technological sciences, 2020-10, Vol.63 (10), p.2011-2027</ispartof><rights>Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-3110330bf735ee3824bbece8b25cfd4041bd8bd6a5530fdd66eccfc916bf04e13</citedby><cites>FETCH-LOGICAL-c359t-3110330bf735ee3824bbece8b25cfd4041bd8bd6a5530fdd66eccfc916bf04e13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Zhang, Zheng</creatorcontrib><creatorcontrib>Takanobu, Ryuichi</creatorcontrib><creatorcontrib>Zhu, Qi</creatorcontrib><creatorcontrib>Huang, MinLie</creatorcontrib><creatorcontrib>Zhu, XiaoYan</creatorcontrib><title>Recent advances and challenges in task-oriented dialog systems</title><title>Science China. Technological sciences</title><addtitle>Sci. China Technol. Sci</addtitle><description>Due to the significance and value in human-computer interaction and natural language processing, task-oriented dialog systems are attracting more and more attention in both academic and industrial communities. In this paper, we survey recent advances and challenges in task-oriented dialog systems. We also discuss three critical topics for task-oriented dialog systems: (1) improving data efficiency to facilitate dialog modeling in low-resource settings, (2) modeling multi-turn dynamics for dialog policy learning to achieve better task-completion performance, and (3) integrating domain ontology knowledge into the dialog model. Besides, we review the recent progresses in dialog evaluation and some widely-used corpora. We believe that this survey, though incomplete, can shed a light on future research in task-oriented dialog systems.</description><subject>Engineering</subject><subject>Modelling</subject><subject>Natural language processing</subject><subject>Review</subject><issn>1674-7321</issn><issn>1869-1900</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1UEtLAzEQDqJgqf0B3hY8R2eSbHb3IkjxBQVB9BzyrFu3uzXZCv33pqzgybnMDHwPvo-QS4RrBKhuEqLgSIEBRdkwyk_IDGvZUGwATvMtK0ErzvCcLFLaQB5eN4BiRm5fvfX9WGj3rXvrU6F7V9gP3XW-X-e37YtRp086xDbDvCtcq7thXaRDGv02XZCzoLvkF797Tt4f7t-WT3T18vi8vFtRy8tmpBwROAcTKl56z2smjMm-tWGlDU6AQONq46QuSw7BOSm9tcE2KE0A4ZHPydWku4vD196nUW2GfeyzpWKiZAg56BGFE8rGIaXog9rFdqvjQSGoY1NqakrlptSxKcUzh02clLE5cvxT_p_0AwOcavM</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Zhang, Zheng</creator><creator>Takanobu, Ryuichi</creator><creator>Zhu, Qi</creator><creator>Huang, MinLie</creator><creator>Zhu, XiaoYan</creator><general>Science China Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20201001</creationdate><title>Recent advances and challenges in task-oriented dialog systems</title><author>Zhang, Zheng ; Takanobu, Ryuichi ; Zhu, Qi ; Huang, MinLie ; Zhu, XiaoYan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-3110330bf735ee3824bbece8b25cfd4041bd8bd6a5530fdd66eccfc916bf04e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Engineering</topic><topic>Modelling</topic><topic>Natural language processing</topic><topic>Review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Zheng</creatorcontrib><creatorcontrib>Takanobu, Ryuichi</creatorcontrib><creatorcontrib>Zhu, Qi</creatorcontrib><creatorcontrib>Huang, MinLie</creatorcontrib><creatorcontrib>Zhu, XiaoYan</creatorcontrib><collection>CrossRef</collection><jtitle>Science China. Technological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Zheng</au><au>Takanobu, Ryuichi</au><au>Zhu, Qi</au><au>Huang, MinLie</au><au>Zhu, XiaoYan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Recent advances and challenges in task-oriented dialog systems</atitle><jtitle>Science China. Technological sciences</jtitle><stitle>Sci. China Technol. Sci</stitle><date>2020-10-01</date><risdate>2020</risdate><volume>63</volume><issue>10</issue><spage>2011</spage><epage>2027</epage><pages>2011-2027</pages><issn>1674-7321</issn><eissn>1869-1900</eissn><abstract>Due to the significance and value in human-computer interaction and natural language processing, task-oriented dialog systems are attracting more and more attention in both academic and industrial communities. In this paper, we survey recent advances and challenges in task-oriented dialog systems. We also discuss three critical topics for task-oriented dialog systems: (1) improving data efficiency to facilitate dialog modeling in low-resource settings, (2) modeling multi-turn dynamics for dialog policy learning to achieve better task-completion performance, and (3) integrating domain ontology knowledge into the dialog model. Besides, we review the recent progresses in dialog evaluation and some widely-used corpora. We believe that this survey, though incomplete, can shed a light on future research in task-oriented dialog systems.</abstract><cop>Beijing</cop><pub>Science China Press</pub><doi>10.1007/s11431-020-1692-3</doi><tpages>17</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1674-7321 |
ispartof | Science China. Technological sciences, 2020-10, Vol.63 (10), p.2011-2027 |
issn | 1674-7321 1869-1900 |
language | eng |
recordid | cdi_proquest_journals_2452109001 |
source | Springer Link |
subjects | Engineering Modelling Natural language processing Review |
title | Recent advances and challenges in task-oriented dialog systems |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T19%3A32%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Recent%20advances%20and%20challenges%20in%20task-oriented%20dialog%20systems&rft.jtitle=Science%20China.%20Technological%20sciences&rft.au=Zhang,%20Zheng&rft.date=2020-10-01&rft.volume=63&rft.issue=10&rft.spage=2011&rft.epage=2027&rft.pages=2011-2027&rft.issn=1674-7321&rft.eissn=1869-1900&rft_id=info:doi/10.1007/s11431-020-1692-3&rft_dat=%3Cproquest_cross%3E2452109001%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c359t-3110330bf735ee3824bbece8b25cfd4041bd8bd6a5530fdd66eccfc916bf04e13%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2452109001&rft_id=info:pmid/&rfr_iscdi=true |