WO2015003143A3 - Method and system for simplifying implicit rhetorical relation prediction in large scale annotated corpus - Google Patents

Method and system for simplifying implicit rhetorical relation prediction in large scale annotated corpus Download PDF

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Publication number
WO2015003143A3
WO2015003143A3 PCT/US2014/045432 US2014045432W WO2015003143A3 WO 2015003143 A3 WO2015003143 A3 WO 2015003143A3 US 2014045432 W US2014045432 W US 2014045432W WO 2015003143 A3 WO2015003143 A3 WO 2015003143A3
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WO
WIPO (PCT)
Prior art keywords
rhetorical
corpus
relations
discourse
annotated corpus
Prior art date
Application number
PCT/US2014/045432
Other languages
French (fr)
Other versions
WO2015003143A2 (en
Inventor
Blake HOWALD
Andrew NYSTROM
Original Assignee
Thomson Reuters Global Resources
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.)
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Publication date
Application filed by Thomson Reuters Global Resources filed Critical Thomson Reuters Global Resources
Priority to AU2014285073A priority Critical patent/AU2014285073B9/en
Priority to CA2917153A priority patent/CA2917153C/en
Publication of WO2015003143A2 publication Critical patent/WO2015003143A2/en
Publication of WO2015003143A3 publication Critical patent/WO2015003143A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/31—Indexing; Data structures therefor; Storage structures

Abstract

The present invention provides a method and system directed to predicting implicit rhetorical relations between two spans of text, e.g., in a large annotated corpus, such as the Penn Discourse Treebank ("PDTB"), Rhetorical Structure Theory corpus, and the Discourse Graph Bank, and particularly directed to determining a rhetorical relation in the absence of an explicit discourse marker. Surface level features may be used to capture pragmatic information encoded in the absent marker. In one manner a simplified feature set based only on raw text and semantic dependencies is used to improve performance for all relations. By using surface level features to predict implicit rhetorical relations for the large annotated corpus the invention approaches a theoretical maximum performance, suggesting that more data will not necessarily improve performance based on these and similarly situated features.
PCT/US2014/045432 2013-07-03 2014-07-03 Method and system for simplifying implicit rhetorical relation prediction in large scale annotated corpus WO2015003143A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
AU2014285073A AU2014285073B9 (en) 2013-07-03 2014-07-03 Method and system for simplifying implicit rhetorical relation prediction in large scale annotated corpus
CA2917153A CA2917153C (en) 2013-07-03 2014-07-03 Method and system for simplifying implicit rhetorical relation prediction in large scale annotated corpus

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201361842635P 2013-07-03 2013-07-03
US61/842,635 2013-07-03

Publications (2)

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WO2015003143A2 WO2015003143A2 (en) 2015-01-08
WO2015003143A3 true WO2015003143A3 (en) 2015-05-14

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AU (1) AU2014285073B9 (en)
CA (1) CA2917153C (en)
WO (1) WO2015003143A2 (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3688609A1 (en) * 2017-09-28 2020-08-05 Oracle International Corporation Determining cross-document rhetorical relationships based on parsing and identification of named entities
US11809825B2 (en) 2017-09-28 2023-11-07 Oracle International Corporation Management of a focused information sharing dialogue based on discourse trees
US11328016B2 (en) 2018-05-09 2022-05-10 Oracle International Corporation Constructing imaginary discourse trees to improve answering convergent questions
CN111209366B (en) * 2019-10-10 2023-04-21 天津大学 Implicit chapter relation recognition method of mutual excitation neural network based on TransS driving
US11580298B2 (en) 2019-11-14 2023-02-14 Oracle International Corporation Detecting hypocrisy in text
CN112257460B (en) * 2020-09-25 2022-06-21 昆明理工大学 Pivot-based Hanyue combined training neural machine translation method
CN113407713B (en) * 2020-10-22 2024-04-05 腾讯科技（深圳）有限公司 Corpus mining method and device based on active learning and electronic equipment
CN113535973B (en) * 2021-06-07 2023-06-23 中国科学院软件研究所 Event relation extraction and language-to-language relation analysis method and device based on knowledge mapping
CN113377915B (en) * 2021-06-22 2022-07-19 厦门大学 Dialogue chapter analysis method
CN113553830B (en) * 2021-08-11 2023-01-03 桂林电子科技大学 Graph-based English text sentence language piece coherent analysis method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020046018A1 (en) * 2000-05-11 2002-04-18 Daniel Marcu Discourse parsing and summarization
US20040044519A1 (en) * 2002-08-30 2004-03-04 Livia Polanyi System and method for summarization combining natural language generation with structural analysis
US20090119286A1 (en) * 2000-05-23 2009-05-07 Richard Reisman Method and Apparatus for Utilizing User Feedback to Improve Signifier Mapping
US20100285434A1 (en) * 2002-01-23 2010-11-11 Jill Burstein Automated Annotation

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Publication number Priority date Publication date Assignee Title
US5659766A (en) * 1994-09-16 1997-08-19 Xerox Corporation Method and apparatus for inferring the topical content of a document based upon its lexical content without supervision

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020046018A1 (en) * 2000-05-11 2002-04-18 Daniel Marcu Discourse parsing and summarization
US20090119286A1 (en) * 2000-05-23 2009-05-07 Richard Reisman Method and Apparatus for Utilizing User Feedback to Improve Signifier Mapping
US20100285434A1 (en) * 2002-01-23 2010-11-11 Jill Burstein Automated Annotation
US20040044519A1 (en) * 2002-08-30 2004-03-04 Livia Polanyi System and method for summarization combining natural language generation with structural analysis

Also Published As

Publication number Publication date
AU2014285073A1 (en) 2016-02-04
CA2917153A1 (en) 2015-01-08
AU2014285073B9 (en) 2017-04-06
CA2917153C (en) 2022-05-17
WO2015003143A2 (en) 2015-01-08
AU2014285073B2 (en) 2016-11-03

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