New PDF release: Adaptive Parsing: Self-Extending Natural Language Interfaces

By Jill Fain Lehman

ISBN-10: 1461366100

ISBN-13: 9781461366102

ISBN-10: 1461536227

ISBN-13: 9781461536222

As the pc steadily automates human-oriented projects in a number of environ­ ments, the interface among pcs and the ever-wider inhabitants of human clients assumes steadily expanding value. within the workplace surroundings, for example, clerical initiatives resembling rfile submitting and retrieval, and higher-level projects reminiscent of scheduling conferences, making plans journey itineraries, and generating files for e-book, are being in part or absolutely automatic. the diversity of clients for workplace­ orientated software program contains clerks, secretaries, and businesspersons, none of whom are predominantly desktop literate. an identical phenomenon is echoed within the manufacturing facility creation line, within the securities buying and selling ground, in executive companies, in educa­ tional associations, or even in the house. The arcane command languages of sure­ teryear have confirmed too excessive a barrier for delicate reputation of automated func­ tions into the office, irrespective of how precious those features should be. laptop­ naive clients easily don't make an effort to profit intimidating and complicated computing device interfaces. so as to position the performance of modem desktops on the disposition of numerous person populations, a couple of diversified techniques were attempted, many assembly with an important degree of good fortune, to wit: designated classes to coach clients within the easier command languages (such as MS-DOS), designing point-and-click menu/graphics interfaces that require less consumer familiarization (illustrated such a lot in actual fact within the Apple Macintosh), and interacting with the consumer in his or her language of choice.

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Extra info for Adaptive Parsing: Self-Extending Natural Language Interfaces

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The Deviation Hypothesis: Self-bounded behavior is more appropriately described as asymptotic to a fixed set of structures. When a user deviates from her canonical utterances, she does so in small, idiosyncratic ways. To satisfy the third condition we form: H4. The Adaptability Hypothesis: a system that permits the natuml expression of idiosyncratic language patterns through adaptation results in better task performance than a system that forces the user to adapt to it. The series of hidden-opemtor experiments discussed in the remainder of this chapter validate our three behavioral hypotheses and give ample evidence that with frequent use the required conditions are met.

In contrast, our model of adaptation permits idiosyncmtic vocabulary to be added to all word classes. Zemik's RINA [79, 80, 81, 82] went beyond the single word to phrase acquisition. Specifically, RINA learned the meaning of idioms from multiple examples. Since idioms are a special kind of idiosyncratic language use, Zemik' s work is of particular interest. Indeed, Zemik's approach 10 hYPolhesis formation and error correction is, in many ways, compatible with our own. Underlying RINA's design, however, is the assumption that the syntax of the utterance is correct, although it may be inadequate to resolve the meaning.

Our adaptive approach takes the opposite point of view; changes to the system occur at the syntactic level of a semantic grammar and reflect long-tenn regularities in the user's linguistic behavior. 2), it is less apparent how MINDS could be extended to learn long-tenn changes at the lexical and syntactic levels. 2 proceeds from a different, more realistic set of assumptions for natural language interfaces than those found in other language acquisition systems. The assumptions underlying our model enable the system to meet the frequent user's need for a dynamic grammar.

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Adaptive Parsing: Self-Extending Natural Language Interfaces by Jill Fain Lehman

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