ログイン
言語:

WEKO3

  • トップ
  • コミュニティ
  • ランキング
AND
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": "2f725a76-848e-4323-950f-3edb6a2751ad"}, "_deposit": {"id": "12046", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "12046"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00012046"}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2009-10-20", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "168", "bibliographicPageStart": "163", "bibliographic_titles": [{"bibliographic_title": "Eighth International Symposium on Natural Language Processing (SNLP \u002709)"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "We propose a dependency visualization method for understanding context, KWISC. KWISC displays dependency between bunsetsus in Japanese sentences. In particular, it splits sentences into bunsetsus and displays them hierarchically according to the depth of dependency, to understand context. In addition, KWISC is able to align two keywords respectively, while KWIC aligns one keyword. This helps to find collocations among words. Furthermore, KWISC is able to expand and collapse bunsetsus. It can shorten distances of collocating words since it shows only the main structure of sentences by collapsing the bunsetsus. Therefore, collocating words are easy to fit on the screen, and horizontal eye movement is decreased when we look for collocations. As an evaluation experiment, we have collected pairs consisting of a bunsetsu that includes a keyword and another bunsetsu on which it depends from 207,802 sentences in the EDR corpus, and have measured the distances between them in KWISC. As a result, it is confirmed that KWISC makes the distances shorter than the conventional methods, and we have shown that KWISC makes it easy to find collocations.", "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/2237/13922"}, {"subitem_identifier_type": "DOI", "subitem_identifier_uri": "http://dx.doi.org/10.1109/SNLP.2009.5340926"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_10_relation_8": {"attribute_name": "ISBN", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "978-1-4244-4138-9", "subitem_relation_type_select": "ISBN"}}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "\u00a92009 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."}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_text_14": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Arai, Yusuke"}], "nameIdentifiers": [{"nameIdentifier": "38199", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Hagiwara, Masato"}], "nameIdentifiers": [{"nameIdentifier": "38200", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Ogawa, Yasuhiro"}], "nameIdentifiers": [{"nameIdentifier": "38201", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Toyama, Katsuhiko"}], "nameIdentifiers": [{"nameIdentifier": "38202", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "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": "ogawa.pdf", "filesize": [{"value": "2.4 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 2400000.0, "url": {"label": "ogawa.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/12046/files/ogawa.pdf"}, "version_id": "ae5ce532-2991-4ad2-8af7-fb519cdafce2"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "KWISC \u2014 Dependency visualization for understanding context", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "KWISC \u2014 Dependency visualization for understanding context"}]}, "item_type_id": "10", "owner": "1", "path": ["312/313/314"], "permalink_uri": "http://hdl.handle.net/2237/13922", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2010-08-03"}, "publish_date": "2010-08-03", "publish_status": "0", "recid": "12046", "relation": {}, "relation_version_is_last": true, "title": ["KWISC \u2014 Dependency visualization for understanding context"], "weko_shared_id": null}
  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

KWISC — Dependency visualization for understanding context

http://hdl.handle.net/2237/13922
805765ff-fad9-4d2c-b1e0-6fde12a5943b
名前 / ファイル ライセンス アクション
ogawa.pdf ogawa.pdf (2.4 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2010-08-03
タイトル
タイトル KWISC — Dependency visualization for understanding context
著者 Arai, Yusuke

× Arai, Yusuke

WEKO 38199

Arai, Yusuke

Search repository
Hagiwara, Masato

× Hagiwara, Masato

WEKO 38200

Hagiwara, Masato

Search repository
Ogawa, Yasuhiro

× Ogawa, Yasuhiro

WEKO 38201

Ogawa, Yasuhiro

Search repository
Toyama, Katsuhiko

× Toyama, Katsuhiko

WEKO 38202

Toyama, Katsuhiko

Search repository
権利
権利情報 ©2009 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.
抄録
内容記述 We propose a dependency visualization method for understanding context, KWISC. KWISC displays dependency between bunsetsus in Japanese sentences. In particular, it splits sentences into bunsetsus and displays them hierarchically according to the depth of dependency, to understand context. In addition, KWISC is able to align two keywords respectively, while KWIC aligns one keyword. This helps to find collocations among words. Furthermore, KWISC is able to expand and collapse bunsetsus. It can shorten distances of collocating words since it shows only the main structure of sentences by collapsing the bunsetsus. Therefore, collocating words are easy to fit on the screen, and horizontal eye movement is decreased when we look for collocations. As an evaluation experiment, we have collected pairs consisting of a bunsetsu that includes a keyword and another bunsetsu on which it depends from 207,802 sentences in the EDR corpus, and have measured the distances between them in KWISC. As a result, it is confirmed that KWISC makes the distances shorter than the conventional methods, and we have shown that KWISC makes it easy to find collocations.
内容記述タイプ Abstract
出版者
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
ISBN
関連識別子
識別子タイプ ISBN
関連識別子 978-1-4244-4138-9
書誌情報 Eighth International Symposium on Natural Language Processing (SNLP '09)

p. 163-168, 発行日 2009-10-20
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/13922
識別子タイプ HDL
URI
識別子 http://dx.doi.org/10.1109/SNLP.2009.5340926
識別子タイプ DOI
戻る
0
views
See details
Views

Versions

Ver.1 2021-03-01 19:03:20.670999
Show All versions

Share

Mendeley CiteULike Twitter Facebook Print Addthis

Cite as

Export

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

Confirm


Powered by CERN Data Centre & Invenio


Powered by CERN Data Centre & Invenio