file - ChaSen - 奈良先端科学技術大学院大学

More documents

Recommendations

Info

Data FlowQuestion TypeIdentificationInformation RetrievalDescription TypeIdentificationSegment Scoringand RankingSegment ReferenceAnalysisPages comprising top-rankedanswer segments WebPagePagePagePagePagePagePageAnswerSegmentPagePagePageAnswerSegmentPagePageAnswerSegmentProcess FlowQ1Q2ChunkerCounterProcessersIR EngineClassifiersScorerandRankerAnswerSegment AnswerSegment AnswerSegmentAnaphoraResolverReference ExpressionsKnowledgeResourcesQuestionPatternsKeywordsPatternsQuestion Segment ListQuestion Segment Entry- Question Type- [Keyword:score] List- [Pattern:score] ListType-labeleddiscursiveFeaturesQuestion Type[Keyword:score] List[Pattern:score] ListQuestion Type[Keyword:score] List[Pattern:score] ListPageCorrectAnswerCandidateParaphraseDictionaryFigure 2.3. The System Architecture of Target Question-Answering System.Information retrievalIn next phase, the system retrieves source documents comprising answer candidateswith keywords, patterns and question types in question segment list ofquestions. Information sources are both web pages and database entries such aspairs of question and answer in Q&A documents.Description type identificationAfter the information retrieval phase, the system classifies answer candidatesbased on their description types related to their question types. To perform thisprocess, it exploits discursive features of text that specifies description types,such as cue words, patterns of functional words and so forth. Consequently, thesystem narrows down their candidates into more relevant set of candidates. Thisphase will be more clarified in Chapter 4.12
Figure 2.4. System Components and the Related Work.Segment Scoring and RankingMoreover, the system computes the relevance of answer candidates to the questionusing keywords and patterns acquired in the first phase. Subsequently, thequestion-answering system ranks the candidates and selects top-ranked answers.Segment Reference AnalysisFinally, the system justifies the answer candidates by checking expressions referringto them, and outputs the relevant answer. The variety of reference expressionsis solved using a paraphrase dictionary of reference expressions.Figure 2.4 shows the relation between internal components in Figure 2.3 andfundamental technologies in the following Sections. In the rest of this chapter,13
Page 1: NAIST-IS-DD0061208Doctoral Disserta
Page 4 and 5: This thesis studies two fundamental
Page 6 and 7: F 0.8 F 0.7 , , , , , iv
Page 8 and 9: 3.4.4 Experimental settings . . . .
Page 10 and 11: List of Tables3.1 Definitions of Qu
Page 12 and 13: List of Figures1.1 Division of Quer
Page 15 and 16: Chapter 1Introduction1.1 Motivation
Page 17 and 18: The Number of Question per QuerySin
Page 19: answers. Although different distrib
Page 22 and 23: ComputerHumanComputerHumanSpecializ
Page 24 and 25: Blog PageMultipleSentenceQueryQ1Q2e
Page 28 and 29: I will introduce fundamental techno
Page 31 and 32: Chapter 3Question Type Identificati
Page 33 and 34: used for question sentence type ide
Page 35 and 36: (1) We pay car commuter employees a
Page 37 and 38: Table 3.2. Classified Given Questio
Page 39 and 40: Figure 3.2. Combinations of Questio
Page 41 and 42: Plants can grow indoors. In additio
Page 43 and 44: this thesis. This Chapter proposes
Page 45 and 46: as Inside/Outside [113, 116] and St
Page 47 and 48: Step 1 Segment a question article i
Page 49 and 50: elements be Θ. Then the degree of
Page 51 and 52: Table 3.5. Transition of Question T
Page 53 and 54: Table 3.6. Summary of Experimental
Page 55 and 56: Table 3.8. Results of Chunking Vary
Page 57 and 58: However when using IOB2/IOE2/IOBES,
Page 59 and 60: 3.6 Related workIdentification of t
Page 61 and 62: Chapter 4Categorization of Descript
Page 63 and 64: 30, 77, 154] and those asking reput
Page 65 and 66: elements were usually eliminated. H
Page 67 and 68: Table 4.1. The Definitions of Descr
Page 69 and 70: 4.3.3 Overview of datasetsTable 4.2
Page 71 and 72: Table 4.4. Categorization of n Obje
Page 73 and 74: 4.3.6 DiscussionIn the field of nat
Page 75 and 76: 4.4 Description type based answer c
Page 77 and 78:
R = |Rc||Ra|(4.10)Varying combinati
Page 79 and 80:
Chapter 5Extraction of ProceduralEx
Page 81 and 82:
Table 5.2. Domain and Type of List.
Page 83 and 84:
Figure 5.2. Collection of Lists fro
Page 85 and 86:
Table 5.3. Types of Tags.Tag types
Page 87 and 88:
domain with the document set in the
Page 89 and 90:
Table 5.6. Result of Close-Domain.C
Page 91 and 92:
Table 5.9. Comparison of SVM and De
Page 93:
Sentence : “ [menyu] w o s ent a
Page 96 and 97:
• It is applicable in case that m
Page 98 and 99:
• For extraction of procedural ex
Page 100 and 101:
[10] Regina Barzilay. Information F
Page 102 and 103:
[29] Yoav Freund and Robert E. Scha
Page 104 and 105:
[47] Chiori Hori, Takaaki Hori, Hid
Page 106 and 107:
[63] Mingzhe Jin. Authorship attrib
Page 108 and 109:
[84] Christopher D. Manning and Hin
Page 110 and 111:
of International World Wide Web Con
Page 112 and 113:
[122] Akihiro Shinmori, Manabu Okum
Page 114 and 115:
[141] Akihiro Tamura, Hiroya Takamu
Page 116 and 117:
[161] Yudong Yang and HongJiang Zha
Page 118 and 119:
[187] . n-gram . , Vol. 23,No. 5,
Page 120 and 121:
- (Evaluation) Yes-No Yes-No (Ho
Page 122 and 123:
(Analysis) : (Fact) : (Instance)
Page 125:
List of PublicationJournal Papers[1
show all

file - ChaSen - 奈良先端科学技術大学院大学

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?