AU2014285073B9 - 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

Info

Publication number
AU2014285073B9
AU2014285073B9 AU2014285073A AU2014285073A AU2014285073B9 AU 2014285073 B9 AU2014285073 B9 AU 2014285073B9 AU 2014285073 A AU2014285073 A AU 2014285073A AU 2014285073 A AU2014285073 A AU 2014285073A AU 2014285073 B9 AU2014285073 B9 AU 2014285073B9
Authority
AU
Australia
Prior art keywords
computer
text
corpus
relation
discourse
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
AU2014285073A
Other languages
English (en)
Other versions
AU2014285073A1 (en
AU2014285073B2 (en
Inventor
Blake HOWALD
Andrew NYSTROM
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Thomson Reuters Enterprise Centre GmbH
Original Assignee
Thomson Reuters Enterprise Centre GmbH
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 Thomson Reuters Enterprise Centre GmbH filed Critical Thomson Reuters Enterprise Centre GmbH
Publication of AU2014285073A1 publication Critical patent/AU2014285073A1/en
Application granted granted Critical
Publication of AU2014285073B2 publication Critical patent/AU2014285073B2/en
Publication of AU2014285073B9 publication Critical patent/AU2014285073B9/en
Assigned to THOMSON REUTERS GLOBAL RESOURCES UNLIMITED COMPANY reassignment THOMSON REUTERS GLOBAL RESOURCES UNLIMITED COMPANY Request to Amend Deed and Register Assignors: THOMSON REUTERS GLOBAL RESOURCES
Assigned to THOMSON REUTERS ENTERPRISE CENTRE GMBH reassignment THOMSON REUTERS ENTERPRISE CENTRE GMBH Request for Assignment Assignors: THOMSON REUTERS GLOBAL RESOURCES UNLIMITED COMPANY
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Machine Translation (AREA)
  • Document Processing Apparatus (AREA)
AU2014285073A 2013-07-03 2014-07-03 Method and system for simplifying implicit rhetorical relation prediction in large scale annotated corpus Active AU2014285073B9 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201361842635P 2013-07-03 2013-07-03
US61/842,635 2013-07-03
PCT/US2014/045432 WO2015003143A2 (fr) 2013-07-03 2014-07-03 Procédé et système permettant de simplifier une prédiction de relations rhétoriques implicites dans un corpus annoté à grande échelle

Publications (3)

Publication Number Publication Date
AU2014285073A1 AU2014285073A1 (en) 2016-02-04
AU2014285073B2 AU2014285073B2 (en) 2016-11-03
AU2014285073B9 true AU2014285073B9 (en) 2017-04-06

Family

ID=52144292

Family Applications (1)

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

Country Status (3)

Country Link
AU (1) AU2014285073B9 (fr)
CA (1) CA2917153C (fr)
WO (1) WO2015003143A2 (fr)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3688609A1 (fr) * 2017-09-28 2020-08-05 Oracle International Corporation Détermination de relations rhétoriques entre documents basée sur l'analyse et l'identification d'entités nommées
US11809825B2 (en) 2017-09-28 2023-11-07 Oracle International Corporation Management of a focused information sharing dialogue based on discourse trees
JP7258047B2 (ja) 2018-05-09 2023-04-14 オラクル・インターナショナル・コーポレイション 収束質問に対する回答を改善するための仮想談話ツリーの構築
CN111209366B (zh) * 2019-10-10 2023-04-21 天津大学 基于TransS驱动的互激励神经网络的隐式篇章关系识别方法
US11580298B2 (en) 2019-11-14 2023-02-14 Oracle International Corporation Detecting hypocrisy in text
CN112257460B (zh) * 2020-09-25 2022-06-21 昆明理工大学 基于枢轴的汉越联合训练神经机器翻译方法
CN113407713B (zh) * 2020-10-22 2024-04-05 腾讯科技（深圳）有限公司 基于主动学习的语料挖掘方法、装置及电子设备
CN113535973B (zh) * 2021-06-07 2023-06-23 中国科学院软件研究所 基于知识映射的事件关系抽取、语篇关系分析方法及装置
CN113377915B (zh) * 2021-06-22 2022-07-19 厦门大学 对话篇章解析方法
CN113553830B (zh) * 2021-08-11 2023-01-03 桂林电子科技大学 一种基于图的英语文本句子语篇连贯分析方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
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
CA2408819C (fr) * 2000-05-11 2006-11-07 University Of Southern California Techniques de traduction automatique
US7062561B1 (en) * 2000-05-23 2006-06-13 Richard Reisman Method and apparatus for utilizing the social usage learned from multi-user feedback to improve resource identity signifier mapping
US7127208B2 (en) * 2002-01-23 2006-10-24 Educational Testing Service Automated annotation
US7305336B2 (en) * 2002-08-30 2007-12-04 Fuji Xerox Co., Ltd. System and method for summarization combining natural language generation with structural analysis

Also Published As

Publication number Publication date
WO2015003143A3 (fr) 2015-05-14
CA2917153C (fr) 2022-05-17
AU2014285073A1 (en) 2016-02-04
CA2917153A1 (fr) 2015-01-08
WO2015003143A2 (fr) 2015-01-08
AU2014285073B2 (en) 2016-11-03

Similar Documents

Publication Publication Date Title
US9355372B2 (en) Method and system for simplifying implicit rhetorical relation prediction in large scale annotated corpus
AU2014285073B9 (en) Method and system for simplifying implicit rhetorical relation prediction in large scale annotated corpus
Jain et al. Summarization of legal documents: Where are we now and the way forward
US9317498B2 (en) Systems and methods for generating summaries of documents
Yi et al. Sentiment mining in WebFountain
Chali et al. Query-focused multi-document summarization: Automatic data annotations and supervised learning approaches
Dong et al. The automated acquisition of suggestions from tweets
Yalcin et al. An external plagiarism detection system based on part-of-speech (POS) tag n-grams and word embedding
Marstawi et al. Ontology-based aspect extraction for an improved sentiment analysis in summarization of product reviews
Zhang et al. Enhancing keyphrase extraction from academic articles with their reference information
Devi et al. A hybrid document features extraction with clustering based classification framework on large document sets
Zhang et al. The use of dependency relation graph to enhance the term weighting in question retrieval
Laddha et al. Aspect opinion expression and rating prediction via LDA–CRF hybrid
Jaradat et al. Hybrid-based Arabic single-document text summarization approach using genatic algorithm
Liebeskind et al. Deep learning for period classification of historical Hebrew texts
Zheng et al. A review on authorship attribution in text mining
Fagan et al. An introduction to textual econometrics
You et al. Joint learning-based heterogeneous graph attention network for timeline summarization
Sharma et al. Diverse feature set based Keyphrase extraction and indexing techniques
Zhou et al. Semantic Smoothing of Document Models for Agglomerative Clustering.
Mason An n-gram based approach to the automatic classification of web pages by genre
Tahmasebi Models and algorithms for automatic detection of language evolution: towards finding and interpreting of content in long-term archives
Brand et al. N-gram representations for comment filtering
Dalton Entity-based enrichment for information extraction and retrieval
Ceylan Investigating the extractive summarization of literary novels

Legal Events

Date Code Title Description
FGA Letters patent sealed or granted (standard patent)
SREP Specification republished
HB Alteration of name in register

Owner name: THOMSON REUTERS GLOBAL RESOURCES UNLIMITED COMPANY

Free format text: FORMER NAME(S): THOMSON REUTERS GLOBAL RESOURCES

PC Assignment registered

Owner name: THOMSON REUTERS ENTERPRISE CENTRE GMBH

Free format text: FORMER OWNER(S): THOMSON REUTERS GLOBAL RESOURCES UNLIMITED COMPANY