TAILIEUCHUNG - Báo cáo khoa học: "ACQUIRING CORE MEANINGS OF WORDS, REPRESENTED AS JACKENDOFF-STYLE CONCEPTUAL STRUCTURES, FROM CORRELATED STREAMS OF LINGUISTIC AND NON-LINGUISTIC INPUT"

This paper describes an operational system which can acquire the core meanings of words without any prior knowledge of either the category or meaning of any words it encounters. The system is given as input, a description of sequences of scenes along with sentences which describe the [EVENTS] taking place as those scenes unfold, and produces as output, a lexicon consisting of the category and meaning of each word in the input, that allows the sentences to describe the [EVENTS]. It is argued, that each of the three main components of the system, the parser, the linker and the. | ACQUIRING CORE MEANINGS OF WORDS REPRESENTED AS JACKENDOFF-STYLE CONCEPTUAL STRUCTURES FROM CORRELATED STREAMS OF LINGUISTIC AND NON-LINGUISTIC INPUT Jeffrey Mark Siskind M. I. T. Artificial Intelligence Laboratory 545 Technology Square Room NE43-800b Cambridge MA 02139 617 253-5659 internet Qobi@ Abstract This paper describes an operational system which can acquire the core meanings of words without any prior knowledge of either the category or meaning of any words it encounters. The system is given as input a description of sequences of scenes along with sentences which describe the EVENTS taking place as those scenes unfold and produces as output a lexicon consisting of the category and meaning of each word in the input that allows the sentences to describe the EVENTS . It is argued that each of the three main components of the system the parser the linker and the inference component make only linguistically and cognitively plausible assumptions about the innate knowledge needed to support tractable learning. The paper discusses the theory underlying the system the representations and algorithms used in the implementation the semantic constraints which support the heuristics necessary to achieve tractable learning the limitations of the current theory and the implications of this work for language acquisition research. 1 Introduction Several natural language systems have been reported which learn the meanings of new words 5 7 1 16 17 13 14 . Many of these systems in particular 5 7 1 learn the new meanings based upon expectations arising from the morphological syntactic se- Supported by an AT T Bell Laboratories . scholarship. Part of this research was performed while the author was visiting Xerox PARC as a research intern and as a consultant. mantle and pragmatic context of the unknown word in the text being processed. For example if such a system encounters the sentence I woke up yesterday turned off my alarm clock took a shower and cooked myself

• Báo cáo khoa học
• ACQUIRING CORE
• MEANINGS OF WORDS
• REPRESENTED AS JACKENDOFF STYLE CONCEPTUAL STRUCTURES
• FROM CORRELATED STREAMS OF LINGUISTIC
• NON LINGUISTIC INPUT
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln