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MX2010002350A - Identificacion de relaciones semanticas dentro de lenguaje reportado. - Google Patents

Identificacion de relaciones semanticas dentro de lenguaje reportado.

Info

Publication number
MX2010002350A
MX2010002350A MX2010002350A MX2010002350A MX2010002350A MX 2010002350 A MX2010002350 A MX 2010002350A MX 2010002350 A MX2010002350 A MX 2010002350A MX 2010002350 A MX2010002350 A MX 2010002350A MX 2010002350 A MX2010002350 A MX 2010002350A
Authority
MX
Mexico
Prior art keywords
semantic
content
relationships
elements
associating
Prior art date
Application number
MX2010002350A
Other languages
English (en)
Inventor
Richard Crouch
Martin Van Den Berg
David Ahn
Olya Gurevich
Barney Pell
Livia Polanyi
Scott Prevost
Giovanni Lorenzo Thione
Original Assignee
Microsoft Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsoft Corp filed Critical Microsoft Corp
Priority claimed from US12/201,675 external-priority patent/US8868562B2/en
Publication of MX2010002350A publication Critical patent/MX2010002350A/es

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/30Semantic analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/205Parsing
    • G06F40/211Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Machine Translation (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

Se proporcionan métodos y medios legibles por computadora para asociar palabras o grupos de palabras destiladas de contenido, tal como lenguaje reportado o un reporte de posición, de un documento para formar relaciones semánticas colectivamente utilizadas para generar una representación semántica del contenido. Las representaciones semánticas pueden incluir elementos identificados o analizados a partir de una porción de texto del contenido, los elementos de las cuales pueden ser asociados con otros elementos que comparten una relación semántica, de manera que un agente, ubicación, o relación tópica. Las relaciones también pueden ser desarrolladas asociando un elemento que está en relación con, o está cerca de otro elemento, permitiendo así una rápida y efectiva comparación de asociaciones encontradas en una representación semántica con asociaciones derivadas de colas. Las relaciones semánticas pueden ser determinadas basándose en información semántica, tal como significados potenciales y funciones gramáticas de cada elemento dentro de la porción de texto del contenido.
MX2010002350A 2007-08-31 2008-08-29 Identificacion de relaciones semanticas dentro de lenguaje reportado. MX2010002350A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US96943407P 2007-08-31 2007-08-31
US12/201,675 US8868562B2 (en) 2007-08-31 2008-08-29 Identification of semantic relationships within reported speech
PCT/US2008/074938 WO2009029905A2 (en) 2007-08-31 2008-08-29 Identification of semantic relationships within reported speech

Publications (1)

Publication Number Publication Date
MX2010002350A true MX2010002350A (es) 2010-07-30

Family

ID=42041477

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2010002350A MX2010002350A (es) 2007-08-31 2008-08-29 Identificacion de relaciones semanticas dentro de lenguaje reportado.

Country Status (11)

Country Link
EP (1) EP2183686A4 (es)
JP (1) JP5501967B2 (es)
KR (1) KR101524889B1 (es)
CN (1) CN101796511B (es)
AU (1) AU2008292781B2 (es)
BR (1) BRPI0816088A2 (es)
CA (1) CA2698105C (es)
IL (1) IL204108A (es)
MX (1) MX2010002350A (es)
RU (1) RU2488877C2 (es)
WO (1) WO2009029905A2 (es)

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US9244984B2 (en) 2011-03-31 2016-01-26 Microsoft Technology Licensing, Llc Location based conversational understanding
US9760566B2 (en) 2011-03-31 2017-09-12 Microsoft Technology Licensing, Llc Augmented conversational understanding agent to identify conversation context between two humans and taking an agent action thereof
US10642934B2 (en) 2011-03-31 2020-05-05 Microsoft Technology Licensing, Llc Augmented conversational understanding architecture
US9842168B2 (en) 2011-03-31 2017-12-12 Microsoft Technology Licensing, Llc Task driven user intents
JP6087899B2 (ja) * 2011-03-31 2017-03-01 マイクロソフト テクノロジー ライセンシング,エルエルシー 会話ダイアログ学習および会話ダイアログ訂正
US9064006B2 (en) 2012-08-23 2015-06-23 Microsoft Technology Licensing, Llc Translating natural language utterances to keyword search queries
JP6176017B2 (ja) * 2013-09-17 2017-08-09 富士通株式会社 検索装置、検索方法、およびプログラム
RU2544739C1 (ru) * 2014-03-25 2015-03-20 Игорь Петрович Рогачев Способ преобразования структурированного массива данных
US10120933B2 (en) * 2014-12-10 2018-11-06 Kyndi, Inc. Weighted subsymbolic data encoding
US10503832B2 (en) * 2016-07-29 2019-12-10 Rovi Guides, Inc. Systems and methods for disambiguating a term based on static and temporal knowledge graphs
CN107818076B (zh) * 2016-09-12 2021-11-12 微软技术许可有限责任公司 针对自然语言的语义处理
US10798027B2 (en) * 2017-03-05 2020-10-06 Microsoft Technology Licensing, Llc Personalized communications using semantic memory
JP7176233B2 (ja) * 2018-06-04 2022-11-22 富士通株式会社 検索方法、検索プログラムおよび検索装置
CN110895657B (zh) * 2018-09-11 2023-05-26 慧捷(上海)科技股份有限公司 一种基于口语对话特征的语义逻辑表达和分析方法
WO2020079749A1 (ja) 2018-10-16 2020-04-23 株式会社島津製作所 事例検索方法
WO2020079752A1 (ja) * 2018-10-16 2020-04-23 株式会社島津製作所 文献検索方法および文献検索システム
WO2020079748A1 (ja) 2018-10-16 2020-04-23 株式会社島津製作所 事例検索方法および事例検索システム
CN109871428B (zh) * 2019-01-30 2022-02-18 北京百度网讯科技有限公司 用于确定文本相关度的方法、装置、设备和介质
CN114004218A (zh) * 2021-02-03 2022-02-01 上海析鲸信息科技有限公司 一种针对政府工作报告的nlp识别方法

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US6901402B1 (en) 1999-06-18 2005-05-31 Microsoft Corporation System for improving the performance of information retrieval-type tasks by identifying the relations of constituents
US7120574B2 (en) * 2000-04-03 2006-10-10 Invention Machine Corporation Synonym extension of search queries with validation
US8799776B2 (en) * 2001-07-31 2014-08-05 Invention Machine Corporation Semantic processor for recognition of whole-part relations in natural language documents
RU2273879C2 (ru) * 2002-05-28 2006-04-10 Владимир Владимирович Насыпный Способ синтеза самообучающейся системы извлечения знаний из текстовых документов для поисковых систем
KR20040111715A (ko) * 2002-05-28 2004-12-31 블라디미르 블라디미로비치 나씨프니 검색 시스템에 사용하기 위해 텍스트 문서로부터 정보를검색하기 위한 자기 학습 시스템의 합성 방법
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JP2005284723A (ja) * 2004-03-30 2005-10-13 Fuji Xerox Co Ltd 自然言語処理システム及び自然言語処理方法、並びにコンピュータ・プログラム
US20070073533A1 (en) * 2005-09-23 2007-03-29 Fuji Xerox Co., Ltd. Systems and methods for structural indexing of natural language text

Also Published As

Publication number Publication date
RU2010107150A (ru) 2011-09-10
RU2488877C2 (ru) 2013-07-27
CA2698105A1 (en) 2009-03-05
KR20100075454A (ko) 2010-07-02
WO2009029905A3 (en) 2009-05-14
JP2010538375A (ja) 2010-12-09
CA2698105C (en) 2016-07-05
AU2008292781A1 (en) 2009-03-05
KR101524889B1 (ko) 2015-06-01
IL204108A (en) 2013-09-30
CN101796511A (zh) 2010-08-04
WO2009029905A2 (en) 2009-03-05
BRPI0816088A2 (pt) 2015-03-03
JP5501967B2 (ja) 2014-05-28
AU2008292781B2 (en) 2012-08-09
EP2183686A2 (en) 2010-05-12
CN101796511B (zh) 2012-11-14
EP2183686A4 (en) 2018-03-28

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