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

By Jill Fain Lehman

As the pc steadily automates human-oriented initiatives in a number of environ­ ments, the interface among desktops and the ever-wider inhabitants of human clients assumes steadily expanding significance. within the workplace atmosphere, for example, clerical initiatives resembling rfile submitting and retrieval, and higher-level projects similar to scheduling conferences, making plans journey itineraries, and generating records for book, are being partly 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 analogous phenomenon is echoed within the manufacturing facility creation line, within the securities buying and selling ground, in govt businesses, in educa­ tional associations, or even in the house. The arcane command languages of certain­ teryear have confirmed too excessive a barrier for delicate attractiveness of automatic func­ tions into the office, regardless of how beneficial those features can be. desktop­ naive clients easily don't take some time to benefit intimidating and intricate computing device interfaces. as a way to position the performance of modem pcs on the disposition of numerous consumer populations, a couple of various techniques were attempted, many assembly with an important degree of luck, to wit: specified classes to coach clients within the less complicated command languages (such as MS-DOS), designing point-and-click menu/graphics interfaces that require less consumer familiarization (illustrated so much sincerely within the Apple Macintosh), and interacting with the consumer in his or her language of choice.

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Sample text

HI and H2 imply that instances of exploratory behavior are relatively rare; the evidence in Chapter 3 supports this as well. 20 System Behavior in an Adaptive Environment In Chapter 5 we show how learning new instances of extendable classes can be accomplished naturally within the adaptive parsing framework. Here we note only that the exception to the Fixed Domain Assumption does not entail the dilemma we mentioned above. Since the number of meaningful types is fixed, the introduction of a new token eannot correspond to a concept with which the application is unfamiliar.

In addition, the system compensated for some types of ungrammaticality consistently but without learning-the constructions could not be viewed as systematic attempts by the user to employ unanticipated forms. In sum, the simplicity of the domain hid a number of computational difficulties that might have become apparent in a more realistic task. Granger's FOUL-UP [25] was also expectation-driven. Relying on conceptual dependency-based knowledge structures, FOUL-UP used both script-based intersentential and intrasentential expectations to infer single word meaning.

Reprinted with permission of Springer-Verlag had worked in the past, taken as a whole her performance must be seen as a strong counterargument to the notion that everyone finds it natural or easy to adapt to a system's linguistic limitations. The purpose of the experiments described in this chapter was to establish certain behavioral characteristics of frequent users which, in turn, guarantee the conditions necessary for an adaptive interface to benefit user performance. The behavior of the users in the adaptive conditions demonstrates the self-limiting, idiosyncratic language use predicted by the Regularity and Deviation Hypotheses.

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