| A Report of Recent Progress in Transformation-Based Error-Driven Learning |
1994 |
7 pages |
| Authors:
Eric Brill; MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR COMPUTER SCIENCE
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 | Most recent research in trainable part of speech taggers has explored stochastic tagging. While these taggers obtain high accuracy, linguistic information is captured indirectly, typically in tens of thousands of lexical and contextual probabilities. In [Brill 92], a trainable rule-based tagger was described that obtained performance comparable to that of stochastic taggers, but captured relevant linguistic information in a small number of simple non-stochastic rules. In this paper, we describe ... |
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| PEGASUS: A Spoken Language Interface for On-Line Air Travel Planning |
1994 |
7 pages |
| Authors:
Victor Zue; Stephanie Seneff; Joseph Polifroni; Michael Phillips; Christine Pao; David Goddeau; James Glass; Eric Brill; MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR COMPUTER SCIENCE
|
| This paper describes PEGASUS, a spoken language interface for on-line air travel planning that we have recently developed. PEGASUS leverages off our spoken language technology development in the ATIS domain, and enables users to book flights using the American Airlines EAASY SABRE system. The input query is transformed by the speech understanding system to a frame representation that captures its meaning. The tasks of the System Manager include transforming the ... |
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| Automatic Grammar Induction and Parsing Free Text: A Transformation-Based Approach |
1993 |
7 pages |
| Authors:
Eric Brill; PENNSYLVANIA UNIV PHILADELPHIA DEPT OF COMPUTER AND INFORMATION SCIENCE
|
| In this paper we describe a new technique for parsing free text: a transformational grammar is automatically learned that is capable of accurately parsing text into binary-branching syntactic trees with nonterminals unlabelled. The algorithm works by beginning in a very naive state of knowledge about phrase structure. By repeatedly comparing the results of bracketing in the current state to proper bracketing provided in the training corpus, the system learns a ... |
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| A Simple Rule-Based Part of Speech Tagger |
1992 |
6 pages |
| Authors:
Eric Brill; PENNSYLVANIA UNIV PHILADELPHIA DEPT OF COMPUTER AND INFORMATION SCIENCE
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| Automatic part of speech tagging is an area of natural language processing where statistical techniques have been more successful than rule-based methods. In this paper, we present a simple rule-based part of speech tagger which automatically acquires its rules and tags with accuracy comparable to stochastic taggers. The rule-based tagger has many advantages over these taggers, including: a vast reduction in stored information required, the perspicuity of a small set ... |
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| Automatically Acquiring Phrase Structure Using Distributional Analysis |
1992 |
6 pages |
| Authors:
Eric Brill; Mitchell Marcus; PENNSYLVANIA UNIV PHILADELPHIA
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| In this paper, we present evidence that the acquisition of the phrase structure of a natural language is possible without supervision and with a very small initial grammar. We describe a language learner that extracts distributional information from a corpus annotated with parts of speech and is able to use this extracted information to accurately parse short sentences. The phrase structure learner is part of an ongoing project to determine ... |
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