A statistical approach to machine translation
Computational Linguistics
Identifying word correspondence in parallel texts
HLT '91 Proceedings of the workshop on Speech and Natural Language
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Naive physics, event perception, lexical semantics, and language acquisition
Naive physics, event perception, lexical semantics, and language acquisition
Improving Generalization with Active Learning
Machine Learning - Special issue on structured connectionist systems
Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
Language acquisition in a unification-based grammar processing system using a real-world knowledge base
Translating collocations for bilingual lexicons: a statistical approach
Computational Linguistics
Using inductive logic programming to automate the construction of natural language parsers
Using inductive logic programming to automate the construction of natural language parsers
Selective Sampling Using the Query by Committee Algorithm
Machine Learning
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Conceptual Information Processing
Conceptual Information Processing
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Computers and Intractability: A Guide to the Theory of NP-Completeness
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Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Machine Learning
Active Learning for Natural Language Parsing and Information Extraction
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Less is More: Active Learning with Support Vector Machines
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
The Acquisition of a Lexicon from Paired Phoneme Sequences and Semantic Representations
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
Support Vector Machine Active Learning with Application sto Text Classification
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Implications of an automatic lexical acquisition system
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Employing EM and Pool-Based Active Learning for Text Classification
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Using Syntax to Learn Semantic: An Experiment in Language Acquisition with a Mobile Robot
Using Syntax to Learn Semantic: An Experiment in Language Acquisition with a Mobile Robot
Models of translational equivalence among words
Computational Linguistics
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Noun-phrase co-occurrence statistics for semiautomatic semantic lexicon construction
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automatic acquisition of subcategorization frames from untagged text
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Automatic acquisition of a large subcategorization dictionary from corpora
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Automatic acquisition of the lexical semantics of verbs from sentence frames
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Acquisition of a lexicon from semantic representations of sentences
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
An experiment on learning appropriate Selectional Restrictions from a parsed corpus
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Building an MT dictionary from parallel texts based on linguistic and statistical information
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Inducing a semantically annotated lexicon via EM-based clustering
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Inductive logic programming for corpus-based acquisition of semantic lexicons
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
On minimizing training corpus for parser acquisition
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
A lexically-intensive algorithm for domain-specific knowlegde acquisition
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
Learning to parse database queries using inductive logic programming
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Active learning with committees for text categorization
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Learning word meanings by instruction
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Contextual vocabulary acquisition as computational philosophy and as philosophical computation
Journal of Experimental & Theoretical Artificial Intelligence - Selected Papers from the 2006 North American Computers and Philosophy Conference, Guest Editor: Patrick Grim
Learning Meaning Before Syntax
ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Comparing, integrating lexical definitional knowledge from multiple sources
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
Robust understanding in multimodal interfaces
Computational Linguistics
Inducing probabilistic CCG grammars from logical form with higher-order unification
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Bootstrapping semantic parsers from conversations
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Lexical generalization in CCG grammar induction for semantic parsing
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Fast online lexicon learning for grounded language acquisition
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Unsupervised PCFG induction for grounded language learning with highly ambiguous supervision
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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This paper focuses on a system, WOLFIE (WOrd Learning From Interpreted Examples), that acquires a semantic lexicon from a corpus of sentences paired with semantic representations. The lexicon learned consists of phrases paired with meaning representations. WOLFIE is part of an integrated system that learns to transform sentences into representations such as logical database queries. Experimental results are presented demonstrating WOLFIE's ability to learn useful lexicons for a database interface in four different natural languages. The usefulness of the lexicons learned by WOLFIE are compared to those acquired by a similar system, with results favorable to WOLFIE. A second set of experiments demonstrates WOLFIE's ability to scale to larger and more difficult, albeit artificially generated, corpora. In natural language acquisition, it is difficult to gather the annotated data needed for supervised learning; however, unannotated data is fairly plentiful. Active learning methods attempt to select for annotation and training only the most informative examples, and therefore are potentially very useful in natural language applications. However, most results to date for active learning have only considered standard classification tasks. To reduce annotation effort while maintaining accuracy, we apply active learning to semantic lexicons. We show that active learning can significantly reduce the number of annotated examples required to achieve a given level of performance.