Corpus ID: 13507979

VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations

  title={VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations},
  author={Timothy Chklovski and P. Pantel},
  • Timothy Chklovski, P. Pantel
  • Published in EMNLP 2004
  • Computer Science
  • Broad-coverage repositories of semantic relations between verbs could benefit many NLP tasks. We present a semi-automatic method for extracting fine-grained semantic relations between verbs. We detect similarity, strength, antonymy, enablement, and temporal happens-before relations between pairs of strongly associated verbs using lexicosyntactic patterns over the Web. On a set of 29,165 strongly associated verb pairs, our extraction algorithm yielded 65.5% accuracy. Analysis of error types… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    A large annotated corpus for learning natural language inference
    • 1,449
    • Open Access
    From Frequency to Meaning: Vector Space Models of Semantics
    • 2,409
    • Open Access
    Word sense disambiguation: A survey
    • 1,649
    • Open Access
    Semantic Taxonomy Induction from Heterogenous Evidence
    • 505
    • Open Access
    Unsupervised Learning of Narrative Event Chains
    • 430
    • Open Access
    SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
    • 277
    • Open Access
    SemEval-2007 Task 04: Classification of Semantic Relations between Nominals
    • 173
    • Highly Influenced
    • Open Access


    Publications referenced by this paper.
    WordNet : an electronic lexical database
    • 12,339
    • Open Access
    Automatic Acquisition of Hyponyms from Large Text Corpora
    • 3,359
    • Open Access
    English Verb Classes and Alternations: A Preliminary Investigation
    • 2,915
    • Open Access
    The Berkeley FrameNet Project
    • 2,566
    • Open Access
    Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
    • 1,416
    • Open Access
    Scripts, Plans, Goals And Understanding: An Inquiry Into Human Knowledge Structures
    • 3,656
    • Highly Influential
    • Open Access
    Web-scale information extraction in knowitall: (preliminary results)
    • 848
    • Open Access
    Learning surface text patterns for a Question Answering System
    • 877
    • Open Access
    Distributional Structure
    • 2,214
    Class-Based Construction of a Verb Lexicon
    • 453
    • Open Access