MX2010002350A - Identification of semantic relationships within reported speech. - Google Patents

Identification of semantic relationships within reported speech.

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
Spanish (es)
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/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/30Semantic analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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

Abstract

Methods and computer-readable media for associating words or groups of words distilled from content, such as reported speech or an attitude report, of a document to form semantic relationships collectively used to generate a semantic representation of the content are provided. Semantic representations may include elements identified or parsed from a text portion of the content, the elements of which may be associated with other elements that share a semantic relationship, such as an agent, location, or topic relationship. Relationships may also be developed by associating one element that is in relation to, or is about, another element, thereby allowing for rapid and effective comparison of associations found in a semantic representation with associations derived from queries. The semantic relationships may be determined based on semantic information, such as potential meanings and grammatical functions of each element within the text portion of the content.
MX2010002350A 2007-08-31 2008-08-29 Identification of semantic relationships within reported speech. MX2010002350A (en)

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 (en) 2010-07-30

Family

ID=42041477

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2010002350A MX2010002350A (en) 2007-08-31 2008-08-29 Identification of semantic relationships within reported speech.

Country Status (11)

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

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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
US9244984B2 (en) 2011-03-31 2016-01-26 Microsoft Technology Licensing, Llc Location based conversational understanding
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
EP2691885A4 (en) * 2011-03-31 2015-09-30 Microsoft Technology Licensing Llc Augmented conversational understanding architecture
US9064006B2 (en) 2012-08-23 2015-06-23 Microsoft Technology Licensing, Llc Translating natural language utterances to keyword search queries
JP6176017B2 (en) * 2013-09-17 2017-08-09 富士通株式会社 SEARCH DEVICE, SEARCH METHOD, AND PROGRAM
RU2544739C1 (en) * 2014-03-25 2015-03-20 Игорь Петрович Рогачев Method to transform structured data array
CA2970168A1 (en) * 2014-12-10 2016-06-16 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 (en) * 2016-09-12 2021-11-12 微软技术许可有限责任公司 Semantic processing for natural language
US10798027B2 (en) * 2017-03-05 2020-10-06 Microsoft Technology Licensing, Llc Personalized communications using semantic memory
JP7176233B2 (en) * 2018-06-04 2022-11-22 富士通株式会社 Search method, search program and search device
CN110895657B (en) * 2018-09-11 2023-05-26 慧捷(上海)科技股份有限公司 Semantic logic expression and analysis method based on spoken language dialogue features
JP7167997B2 (en) * 2018-10-16 2022-11-09 株式会社島津製作所 Literature retrieval method and literature retrieval system
CN109871428B (en) * 2019-01-30 2022-02-18 北京百度网讯科技有限公司 Method, apparatus, device and medium for determining text relevance

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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
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US8799776B2 (en) * 2001-07-31 2014-08-05 Invention Machine Corporation Semantic processor for recognition of whole-part relations in natural language documents
RU2273879C2 (en) * 2002-05-28 2006-04-10 Владимир Владимирович Насыпный Method for synthesis of self-teaching system for extracting knowledge from text documents for search engines
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Also Published As

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

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