David A. Evans

Also published as: David Andreoff Evans


2006

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Exploring Semantic Constraints for Document Retrieval
Hua Cheng | Yan Qu | Jesse Montgomery | David A. Evans
Proceedings of the Workshop on How Can Computational Linguistics Improve Information Retrieval?

2005

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The Use of Monolingual Context Vectors for Missing Translations in Cross-Language Information Retrieval
Yan Qu | Gregory Grefenstette | David A. Evans
Second International Joint Conference on Natural Language Processing: Full Papers

2002

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Expanding lexicons by inducing paradigms and validating attested forms
Gregory Grefenstette | Yan Qu | David A. Evans
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

1996

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Noun Phrase Analysis in Large Unrestricted Text for Information Retrieval
David A. Evans | Chengxiang Zhai
34th Annual Meeting of the Association for Computational Linguistics

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A Statistical Approach to Automatic OCR Error Correction in Context
Xiang Tong | David A. Evans
Fourth Workshop on Very Large Corpora

1993

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The Automatic Acquisition of Frequencies of Verb Subcategorization Frames from Tagged Corpora
Akira Ushioda | David A. Evans | Ted Gibson | Alex Waibel
Acquisition of Lexical Knowledge from Text

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Frequency Estimation of Verb Subcategorization Frames Based on Syntactic and Multidimensional Statistical Analysis
Akira Ushioda | David A. Evans | Ted Gibson | Alex Waibel
Proceedings of the Third International Workshop on Parsing Technologies

We describe a mechanism for automatically estimating frequencies of verb subcategorization frames in a large corpus. A tagged corpus is first partially parsed to identify noun phrases and then a regular grammar is used to estimate the appropriate subcategorization frame for each verb token in the corpus. In an experiment involving the identification of six fixed subcategorization frames, our current system showed more than 80% accuracy. In addition, a new statistical method enables the system to learn patterns of errors based on a set of training samples and substantially improves the accuracy of the frequency estimation.

1981

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A Situation Semantics Approach to the Analysis of Speech Acts
David Andreoff Evans
19th Annual Meeting of the Association for Computational Linguistics