A Unified Implicit Dialog Framework for Conversational Search

We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications. It aims to enable dialog interactions with domain data without replying on explicitly encoded the rules but utilizing the underlying data representation to build the com...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Feng, Song, Gunasekara, R. Chulaka, Shashidhara, Sunil, Fadnis, Kshitij P, Polymenakos, Lazaros C
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Feng, Song
Gunasekara, R. Chulaka
Shashidhara, Sunil
Fadnis, Kshitij P
Polymenakos, Lazaros C
description We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications. It aims to enable dialog interactions with domain data without replying on explicitly encoded the rules but utilizing the underlying data representation to build the components required for dialog interaction, which we refer as Implicit Dialog in this work. The proposed framework consists of a pipeline of End-to-End trainable modules. A centralized knowledge representation is used to semantically ground multiple dialog modules. An associated set of tools are integrated with the framework to gather end users' input for continuous improvement of the system. The goal is to facilitate development of conversational systems by identifying the components and the data that can be adapted and reused across many end-user applications. We demonstrate our approach by creating conversational agents for several independent domains.
doi_str_mv 10.48550/arxiv.1802.04358
format Article
fullrecord <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_1802_04358</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1802_04358</sourcerecordid><originalsourceid>FETCH-LOGICAL-a678-b623dca3f13bfccaf00a7a44514de1855eb03958a15ea4f0644577eb0a2b61c83</originalsourceid><addsrcrecordid>eNotj7sKwjAYhbM4iPoATuYFWpMmaePgIPUKgoN1Ln_TRINtI1G8vL31Mh04Bw7fh9CQkpBLIcgY_NPeQypJFBLOhOyi6QwfGmusLvGmvlRW2RueW6jcES891Prh_Bkb53Hqmrv2V7hZ10CF9xq8OvVRx0B11YN_9lC2XGTpOtjuVpt0tg0gTmRQxBErFTBDWWGUAkMIJMC5oLzUtAXTBWETIYEKDdyQuJ2SpC0hKmKqJOuh0e_2y59fvK3Bv_KPR_71YG_4bkKL</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A Unified Implicit Dialog Framework for Conversational Search</title><source>arXiv.org</source><creator>Feng, Song ; Gunasekara, R. Chulaka ; Shashidhara, Sunil ; Fadnis, Kshitij P ; Polymenakos, Lazaros C</creator><creatorcontrib>Feng, Song ; Gunasekara, R. Chulaka ; Shashidhara, Sunil ; Fadnis, Kshitij P ; Polymenakos, Lazaros C</creatorcontrib><description>We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications. It aims to enable dialog interactions with domain data without replying on explicitly encoded the rules but utilizing the underlying data representation to build the components required for dialog interaction, which we refer as Implicit Dialog in this work. The proposed framework consists of a pipeline of End-to-End trainable modules. A centralized knowledge representation is used to semantically ground multiple dialog modules. An associated set of tools are integrated with the framework to gather end users' input for continuous improvement of the system. The goal is to facilitate development of conversational systems by identifying the components and the data that can be adapted and reused across many end-user applications. We demonstrate our approach by creating conversational agents for several independent domains.</description><identifier>DOI: 10.48550/arxiv.1802.04358</identifier><language>eng</language><subject>Computer Science - Computation and Language</subject><creationdate>2018-02</creationdate><rights>http://creativecommons.org/licenses/by-nc-sa/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,782,887</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1802.04358$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1802.04358$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Feng, Song</creatorcontrib><creatorcontrib>Gunasekara, R. Chulaka</creatorcontrib><creatorcontrib>Shashidhara, Sunil</creatorcontrib><creatorcontrib>Fadnis, Kshitij P</creatorcontrib><creatorcontrib>Polymenakos, Lazaros C</creatorcontrib><title>A Unified Implicit Dialog Framework for Conversational Search</title><description>We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications. It aims to enable dialog interactions with domain data without replying on explicitly encoded the rules but utilizing the underlying data representation to build the components required for dialog interaction, which we refer as Implicit Dialog in this work. The proposed framework consists of a pipeline of End-to-End trainable modules. A centralized knowledge representation is used to semantically ground multiple dialog modules. An associated set of tools are integrated with the framework to gather end users' input for continuous improvement of the system. The goal is to facilitate development of conversational systems by identifying the components and the data that can be adapted and reused across many end-user applications. We demonstrate our approach by creating conversational agents for several independent domains.</description><subject>Computer Science - Computation and Language</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj7sKwjAYhbM4iPoATuYFWpMmaePgIPUKgoN1Ln_TRINtI1G8vL31Mh04Bw7fh9CQkpBLIcgY_NPeQypJFBLOhOyi6QwfGmusLvGmvlRW2RueW6jcES891Prh_Bkb53Hqmrv2V7hZ10CF9xq8OvVRx0B11YN_9lC2XGTpOtjuVpt0tg0gTmRQxBErFTBDWWGUAkMIJMC5oLzUtAXTBWETIYEKDdyQuJ2SpC0hKmKqJOuh0e_2y59fvK3Bv_KPR_71YG_4bkKL</recordid><startdate>20180212</startdate><enddate>20180212</enddate><creator>Feng, Song</creator><creator>Gunasekara, R. Chulaka</creator><creator>Shashidhara, Sunil</creator><creator>Fadnis, Kshitij P</creator><creator>Polymenakos, Lazaros C</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20180212</creationdate><title>A Unified Implicit Dialog Framework for Conversational Search</title><author>Feng, Song ; Gunasekara, R. Chulaka ; Shashidhara, Sunil ; Fadnis, Kshitij P ; Polymenakos, Lazaros C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a678-b623dca3f13bfccaf00a7a44514de1855eb03958a15ea4f0644577eb0a2b61c83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computer Science - Computation and Language</topic><toplevel>online_resources</toplevel><creatorcontrib>Feng, Song</creatorcontrib><creatorcontrib>Gunasekara, R. Chulaka</creatorcontrib><creatorcontrib>Shashidhara, Sunil</creatorcontrib><creatorcontrib>Fadnis, Kshitij P</creatorcontrib><creatorcontrib>Polymenakos, Lazaros C</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Feng, Song</au><au>Gunasekara, R. Chulaka</au><au>Shashidhara, Sunil</au><au>Fadnis, Kshitij P</au><au>Polymenakos, Lazaros C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Unified Implicit Dialog Framework for Conversational Search</atitle><date>2018-02-12</date><risdate>2018</risdate><abstract>We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications. It aims to enable dialog interactions with domain data without replying on explicitly encoded the rules but utilizing the underlying data representation to build the components required for dialog interaction, which we refer as Implicit Dialog in this work. The proposed framework consists of a pipeline of End-to-End trainable modules. A centralized knowledge representation is used to semantically ground multiple dialog modules. An associated set of tools are integrated with the framework to gather end users' input for continuous improvement of the system. The goal is to facilitate development of conversational systems by identifying the components and the data that can be adapted and reused across many end-user applications. We demonstrate our approach by creating conversational agents for several independent domains.</abstract><doi>10.48550/arxiv.1802.04358</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.48550/arxiv.1802.04358
ispartof
issn
language eng
recordid cdi_arxiv_primary_1802_04358
source arXiv.org
subjects Computer Science - Computation and Language
title A Unified Implicit Dialog Framework for Conversational Search
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-04T03%3A45%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Unified%20Implicit%20Dialog%20Framework%20for%20Conversational%20Search&rft.au=Feng,%20Song&rft.date=2018-02-12&rft_id=info:doi/10.48550/arxiv.1802.04358&rft_dat=%3Carxiv_GOX%3E1802_04358%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true