Lexical Knowledge Structures

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Lexico-syntactic patterns 35 Lexico-syntactic pattern are used. Different Lexico-syntactic patterns indicate different relation. Manually selected, by examining, known semantic relation, verb pairs. Tense variations are accounted. Xed instantiates on sing and dance as sung and danced. Web is googled for each associated verb pair with these pattern. Patterns indicating narrow similarity X ie Y Xed ie Yed Kile, the software, has produced ie created this presentation. A K Nirala Lexical Knowledge Structures
Lexico-syntactic patterns (contd.) Patterns indicating broad similarity Xed and Yed to X and Y The enemy camp was bombarded and destroyed Patterns indicating strength X even Y Xed even Yed X and even Y Xed and even Yed Y or at least X Yed or at least Xed not only Xed but Yed not just Xed but Yed Better purchase or at least borrow this book A K Nirala Lexical Knowledge Structures
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Lexical Knowledge Structures By Ash
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SHRDLU (1971) A K Nirala Lexical Kn
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SHRDLU : a success story. Considere
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ConceptNet ConceptNet A K Nirala Le
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Typical relations in concept net A
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Relations in ConceptNet Agents, Thi
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Relations in ConceptNet Functional,
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Development Process of ConceptNet v
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Extraction phase Relations are extr
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Relaxation phase (contd.) SuperThem
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Evaluation of accumulated data 8 ju
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Knowledge acquisition from the gene
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OMCS web interface A sample web int
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Feedback and Inference (contd.) Met
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More user inputs Clarification by s
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ConceptNet5 ConceptNet5 released on
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URI hierarchy Uniform Resource Iden
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Concept URIs Each concept has minim
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ConceptNet5.1 WEB API Lookup : When
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API for Association BASE URL : http
Page 41 and 42: GOOSE 2004 Goal-Oriented Search Eng
Page 43 and 44: GOOSE : a scenario [3] Goal : I wan
Page 45 and 46: Other applications [4] Commonsense
Page 47 and 48: Information Extraction Google searc
Page 49 and 50: YAGO data model, few examples Elvis
Page 51 and 52: YAGO Model: Formal view common enti
Page 53 and 54: Classes for all literals Classes fo
Page 55 and 56: Semantics : Rewrite rule (contd.)
Page 57 and 58: Semantics : Rewrite rule (contd) Gi
Page 59 and 60: Theorems & Corollary Given F = (I
Page 61 and 62: Sources for YAGO Sources and Inform
Page 63 and 64: Information Extraction Two steps (Y
Page 65 and 66: Infoboxes Infobox type establishes
Page 67 and 68: Types of facts Category system of W
Page 69 and 70: Defining hierarchy of classes using
Page 71 and 72: Word heuristics A means relation is
Page 73 and 74: Quality Control & Type Checking Can
Page 75 and 76: Evaluating YAGO Randomly selected f
Page 77 and 78: YAGO 2 : Extensible Extraction Arch
Page 79 and 80: Information Extraction from differe
Page 81 and 82: YAGO in development of ontologies Y
Page 83 and 84: Downloading YAGO Freely available a
Page 85 and 86: VerbOcean Developed at University o
Page 87 and 88: Relations captured by VerbOcean Sim
Page 89 and 90: Relations captured by VerbOcean Ena
Page 91: Extracting Associated verb pairs 1.
Page 95 and 96: Lexico-syntactic patterns (contd.)
Page 97 and 98: Scoring the verb pair on the patter
Page 99 and 100: Pruning If the pattern matching was
Page 101 and 102: Bibliography I Timothy Chklovski an
Page 103 and 104: Bibliography III Mueller E T Lim G
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