Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
DIRT @SBT@discovery of inference rules from text
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Class-based probability estimation using a semantic hierarchy
Computational Linguistics
Automatic labeling of semantic roles
Computational Linguistics
The Journal of Machine Learning Research
Using the web to obtain frequencies for unseen bigrams
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Generalizing case frames using a thesaurus and the MDL principle
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Inducing a semantically annotated lexicon via EM-based clustering
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Extracting and evaluating general world knowledge from the Brown corpus
HLT-NAACL-TEXTMEANING '03 Proceedings of the HLT-NAACL 2003 workshop on Text meaning - Volume 9
Bayesian query-focused summarization
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Automatic labeling of multinomial topic models
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Efficient methods for topic model inference on streaming document collections
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Discriminative learning of selectional preference from unlabeled text
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Global models of document structure using latent permutations
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Predicting response to political blog posts with topic models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
Latent variable models of concept-attribute attachment
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Coupled semi-supervised learning for information extraction
Proceedings of the third ACM international conference on Web search and data mining
Distributed Algorithms for Topic Models
The Journal of Machine Learning Research
Automatic evaluation of topic coherence
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Latent variable models of selectional preference
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Latent variable models of selectional preference
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A semi-supervised method to learn and construct taxonomies using the web
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Identifying functional relations in web text
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Best topic word selection for topic labelling
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Co-related verb argument selectional preferences
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Fine-grained class label markup of search queries
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
A Bayesian model for unsupervised semantic parsing
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Unsupervised discovery of domain-specific knowledge from text
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Automatic labelling of topic models
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Entity set expansion using topic information
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
A joint model of implicit arguments for nominal predicates
RELMS '11 Proceedings of the ACL 2011 Workshop on Relational Models of Semantics
Evaluating unsupervised learning for natural language processing tasks
EMNLP '11 Proceedings of the First Workshop on Unsupervised Learning in NLP
Unsupervised name ambiguity resolution using a generative model
EMNLP '11 Proceedings of the First Workshop on Unsupervised Learning in NLP
Classification-based contextual preferences
TIWTE '11 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
GEMS '11 Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
Exploring supervised lda models for assigning attributes to adjective-noun phrases
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Unsupervised learning of selectional restrictions and detection of argument coercions
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Probabilistic models of similarity in syntactic context
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Structured relation discovery using generative models
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Identifying relations for open information extraction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
LDA-Frames: an unsupervised approach to generating semantic frames
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Open information extraction: the second generation
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Open domain event extraction from twitter
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Inferring selectional preferences from part-of-speech N-grams
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Instance-driven attachment of semantic annotations over conceptual hierarchies
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Modelling selectional preferences in a lexical hierarchy
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Domain adaptation of a dependency parser with a class-class selectional preference model
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Unsupervised relation discovery with sense disambiguation
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Open language learning for information extraction
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Semantic role labeling of implicit arguments for nominal predicates
Computational Linguistics
Exploiting language models to recognize unseen actions
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An inference-based model of word meaning in context as a paraphrase distribution
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Tailoring the automated construction of large-scale taxonomies using the web
Language Resources and Evaluation
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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, but it is competitive with non-class-based methods in predictive power. We compare LDA-SP to several state-of-the-art methods achieving an 85% increase in recall at 0.9 precision over mutual information (Erk, 2007). We also evaluate LDA-SP's effectiveness at filtering improper applications of inference rules, where we show substantial improvement over Pantel et al.'s system (Pantel et al., 2007).