Corpus ID: 14061182

A Latent Dirichlet Allocation Method for Selectional Preferences

@inproceedings{Ritter2010ALD,
  title={A Latent Dirichlet Allocation Method for Selectional Preferences},
  author={Alan Ritter and Mausam and Oren Etzioni},
  booktitle={ACL},
  year={2010}
}
  • Alan Ritter, Mausam, Oren Etzioni
  • Published in ACL 2010
  • Computer Science
  • The computation of selectional preferences, the admissible argument values for a relation, is a well-known NLP task with broad applicability. We present LDA-SP, which utilizes LinkLDA (Erosheva et al., 2004) to model selectional preferences. By simultaneously inferring latent topics and topic distributions over relations, LDA-SP combines the benefits of previous approaches: like traditional class-based approaches, it produces human-interpretable classes describing each relation's preferences… CONTINUE READING
    180 Citations

    Figures, Tables, and Topics from this paper.

    Probabilistic Distributional Semantics with Latent Variable Models
    • 23
    • PDF
    Neural Models of Selectional Preferences for Implicit Semantic Role Labeling
    Selectional Preferences for Semantic Role Classification
    • 40
    • PDF
    Latent Variable Models of Selectional Preference
    • 108
    • PDF
    Exploring Supervised LDA Models for Assigning Attributes to Adjective-Noun Phrases
    • 27
    • PDF
    The Impact of Selectional Preference Agreement on Semantic Relational Similarity
    • 3
    • PDF
    Lexical Inference over Multi-Word Predicates: A Distributional Approach
    • 4
    • PDF

    References

    SHOWING 1-10 OF 40 REFERENCES
    Latent Variable Models of Selectional Preference
    • 108
    • PDF
    Latent Dirichlet Allocation
    • 24,982
    • PDF
    Automatic labeling of multinomial topic models
    • 322
    • PDF
    Finding scientific topics
    • T. R. Griffiths, M. Steyvers
    • Computer Science, Medicine
    • Proceedings of the National Academy of Sciences of the United States of America
    • 2004
    • 4,868
    • PDF
    Automatic Evaluation of Topic Coherence
    • 630
    • PDF
    Efficient methods for topic model inference on streaming document collections
    • 389
    • PDF
    Selectional Preference and Sense Disambiguation
    • P. Resnik
    • Computer Science
    • Workshop On Tagging Text With Lexical Semantics: Why, What, And How?
    • 1997
    • 237
    • PDF
    Latent Variable Models of Concept-Attribute Attachment
    • 37
    • PDF
    Class-Based Probability Estimation Using a Semantic Hierarchy
    • 106
    • PDF
    Selectional constraints: an information-theoretic model and its computational realization
    • 283
    • PDF