TAILIEUCHUNG - Báo cáo khoa học: "The Semantics of Collocational Patterns for Reporting"

One of the hardest problems for knowledge extraction from machine readable textual sources is distinguishing entities and events that are part of the main story from those that are part of the narrative structure, hnportantly, however, reported sl)eech in newspaper articles explicitly links these two levels. In this paper, we illustrate what the lexical semantics of reporting verbs must incorporate in order to contribute to the reconstruction of story and context. | The Semantics of Collocational Patterns for Reporting Verbs Sabine Bcrgler Computer Science Department Brandeis University Waltham MA 02254 e-mail sabine@ Abstract One of the hardest problems for knowledge extraction from machine readable textual sources is distinguishing entities and events that are part of the main story from those that are part of the narrative structure. Importantly however reported speech in newspaper articles explicitly links these two levels. In this paper we illustrate what the lexical semantics of reporting verbs must incorporate in order to contribute to the reconstruction of story and context. The lexical structures proposed are derived from the analysis of semantic collocations over large text corpora. I Motivation We can distinguish two levels in newspaper articles the pure information here called primary information and the meta-information which embeds the primary information within a perspective a belief context or a modality which we call circumstantial information. The distinction is not limited to but is best illustrated by reported speech sentences. Here the matrix clause or reporting clause corresponds to the circumstantial information while the complement whether realized as a full clause or as a noun phrase corresponds to primary information. For tasks such as knowledge extraction it is the primary information that is of interest. For example in the text of Figure 1 the matrix clauses italicized give the circumstantial information of the who when and how of the reporting event while what is reported the primary information is given in the complements. The particular reporting verb also adds important information about the manner of the original utterance the preciseness of the quote the temporal rcla-tionsliip between matrix clause and complement and more. In addition the source of the original infor mation provides information about the reliability or credibility of the primary information. Because the .

• Báo cáo khoa học
• The Semantics of Collocational
• Patterns for Reporting
• Sabine Bergler
• 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