1. Reading comprehension programs in a statistical-language-processing class
- Author
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Lisa Zorn, Changhee Pyo, Lixin Pang, Tomer Moscovich, Yasemin Altun, Benjamin Garrett, Rodrigo de Salvo Braz, Ye Sun, Wei Wy, Margaret Kosmala, Eugene Charniak, Zhongfa Yang, and Shawn Zeller
- Subjects
Class (computer programming) ,Reading comprehension ,Computer science ,business.industry ,Simple (abstract algebra) ,Selection (linguistics) ,Artificial intelligence ,Variety (linguistics) ,computer.software_genre ,business ,computer ,Natural language processing ,Task (project management) - Abstract
We present some new results for the reading comprehension task described in [3] that improve on the best published results - from 36% in [3] to 41% (the best of the systems described herein). We discuss a variety of techniques that tend to give small improvements, ranging from the fairly simple (give verbs more weight in answer selection) to the fairly complex (use specific techniques for answering specific kinds of questions).
- Published
- 2000
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