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Knowledge-based textual inference via parse-tree transformations
Roy Bar-Haim
,
Ido Dagan
, Jonathan Berant
Department of Computer Science
Bar-Ilan University
Stanford University
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Scopus citations
Overview
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Dive into the research topics of 'Knowledge-based textual inference via parse-tree transformations'. Together they form a unique fingerprint.
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Keyphrases
Knowledge Base
100%
Textual Inference
100%
Parse Tree
100%
Tree Transformation
100%
Natural Language
66%
Efficient Implementation
33%
Language-based
33%
Recognizing Textual Entailment
33%
Logical Representation
33%
Lexical-based
33%
Unified Representation
33%
Syntactic Representation
33%
Linguistic Structure
33%
Automatic Method
33%
Manual Method
33%
Language Structure
33%
Inference Rules
33%
Meaning Representation
33%
Large Corpora
33%
Inference Algorithms
33%
Representation Framework
33%
Meaning Inference
33%
Syntactic Parse Tree
33%
Inference Framework
33%
Unsupervised Relation Extraction
33%
Computer Science
Parse Tree
100%
Data Structure
50%
Syntactics
50%
Natural-Language Understanding
50%
Syntactic Representation
50%
Inference Rule
50%
Efficient Implementation
50%