ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

{"_buckets": {"deposit": "ec99ff85-7cfe-42f6-ae72-afb6f98423dd"}, "_deposit": {"id": "12024", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "12024"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00012024", "sets": ["314"]}, "author_link": ["38122", "38123", "38124", "38125"], "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2009-04-19", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "4800", "bibliographicPageStart": "4797", "bibliographic_titles": [{"bibliographic_title": "IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009)", "bibliographic_titleLang": "en"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "We regarded information retrieval as a graph search problem and proposed several novel dialog strategies that can recover from misrecognition through a spoken dialog that traverses the graph. To recover from misrecognition without seeking confirmation, our system kept multiple understanding hypotheses at each turn and searched for a globally optimal hypothesis in the graph whose nodes express understanding states across user utterances in a whole dialog. As for a dialog strategy, we introduced a new criterion based on efficiency in information retrieval and consistency with understanding hypotheses to select an appropriate system response. Using such criterion, the system removes the ambiguity so that users do not feel that a response that conflicts with the actual user intent is unnatural. We developed a spoken dialog system using these techniques and showed dialog examples in which misrecognition was naturally corrected. We also showed that our strategy was efficient in terms of the number of turns.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/13900"}, {"subitem_identifier_type": "DOI", "subitem_identifier_uri": "http://dx.doi.org/10.1109/ICASSP.2009.4960704"}]}, "item_10_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "IEEE", "subitem_publisher_language": "en"}]}, "item_10_relation_11": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.1109/ICASSP.2009.4960704", "subitem_relation_type_select": "DOI"}}]}, "item_10_rights_12": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "©20xx IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.", "subitem_rights_language": "en"}]}, "item_10_select_15": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1520-6149", "subitem_source_identifier_type": "PISSN"}]}, "item_10_text_14": {"attribute_name": "フォーマット", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_1615787544753": {"attribute_name": "出版タイプ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Kinoshita, Yuji", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "38122", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Miyajima, Chiyomi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "38123", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Kitaoka, Norihide", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "38124", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Takeda, Kazuya", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "38125", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-20"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "Kinoshita_ICASSO2009.pdf", "filesize": [{"value": "260.1 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 260100.00000000003, "url": {"label": "Kinoshita_ICASSO2009.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/12024/files/Kinoshita_ICASSO2009.pdf"}, "version_id": "90c40031-03a5-401d-ae24-b1e7c722939e"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "artificial intelligence", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Spoken dialog strategy based on understanding graph search", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Spoken dialog strategy based on understanding graph search", "subitem_title_language": "en"}]}, "item_type_id": "10", "owner": "1", "path": ["314"], "permalink_uri": "http://hdl.handle.net/2237/13900", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2010-07-30"}, "publish_date": "2010-07-30", "publish_status": "0", "recid": "12024", "relation": {}, "relation_version_is_last": true, "title": ["Spoken dialog strategy based on understanding graph search"], "weko_shared_id": -1}
  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500a 雑誌掲載論文
  3. 学術雑誌

Spoken dialog strategy based on understanding graph search

http://hdl.handle.net/2237/13900
http://hdl.handle.net/2237/13900
d0e00969-9fff-4030-8050-56e534f846be
名前 / ファイル ライセンス アクション
Kinoshita_ICASSO2009.pdf Kinoshita_ICASSO2009.pdf (260.1 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2010-07-30
タイトル
タイトル Spoken dialog strategy based on understanding graph search
言語 en
著者 Kinoshita, Yuji

× Kinoshita, Yuji

WEKO 38122

en Kinoshita, Yuji

Search repository
Miyajima, Chiyomi

× Miyajima, Chiyomi

WEKO 38123

en Miyajima, Chiyomi

Search repository
Kitaoka, Norihide

× Kitaoka, Norihide

WEKO 38124

en Kitaoka, Norihide

Search repository
Takeda, Kazuya

× Takeda, Kazuya

WEKO 38125

en Takeda, Kazuya

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 ©20xx IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
キーワード
主題Scheme Other
主題 artificial intelligence
抄録
内容記述 We regarded information retrieval as a graph search problem and proposed several novel dialog strategies that can recover from misrecognition through a spoken dialog that traverses the graph. To recover from misrecognition without seeking confirmation, our system kept multiple understanding hypotheses at each turn and searched for a globally optimal hypothesis in the graph whose nodes express understanding states across user utterances in a whole dialog. As for a dialog strategy, we introduced a new criterion based on efficiency in information retrieval and consistency with understanding hypotheses to select an appropriate system response. Using such criterion, the system removes the ambiguity so that users do not feel that a response that conflicts with the actual user intent is unnatural. We developed a spoken dialog system using these techniques and showed dialog examples in which misrecognition was naturally corrected. We also showed that our strategy was efficient in terms of the number of turns.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ICASSP.2009.4960704
ISSN
収録物識別子タイプ PISSN
収録物識別子 1520-6149
書誌情報 en : IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009)

p. 4797-4800, 発行日 2009-04-19
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/13900
識別子タイプ HDL
URI
識別子 http://dx.doi.org/10.1109/ICASSP.2009.4960704
識別子タイプ DOI
戻る
0
views
See details
Views

Versions

Ver.1 2021-03-01 19:03:58.973969
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3