tailieunhanh - Báo cáo khoa học: "NLP and the humanities: the revival of an old liaison"

This paper present an overview of some emerging trends in the application of NLP in the domain of the so-called Digital Humanities and discusses the role and nature of metadata, the annotation layer that is so characteristic of documents that play a role in the scholarly practises of the humanities. It is explained how metadata are the key to the added value of techniques such as text and link mining, and an outline is given of what measures could be taken to increase the chances for a bright future for the old ties between NLP and the humanities. There. | NLP and the humanities the revival of an old liaison Franciska de Jong University of Twente Enschede The Netherlands fdejong@ Abstract This paper present an overview of some emerging trends in the application of NLP in the domain of the so-called Digital Humanities and discusses the role and nature of metadata the annotation layer that is so characteristic of documents that play a role in the scholarly practises of the humanities. It is explained how metadata are the key to the added value of techniques such as text and link mining and an outline is given of what measures could be taken to increase the chances for a bright future for the old ties between NLP and the humanities. There is no data like metadata 1 Introduction The humanities and the field of natural language processing NLP have always had common playgrounds. The liaison was never constrained to linguistics also philosophical philological and literary studies have had their impact on NLP and there have always been dedicated conferences and journals for the humanities and the NLP community of which the journal Computers and the Humanities 1966-2004 is probably known best. Among the early ideas on how to use machines to do things with text that had been done manually for ages is the plan to build a concordance for ancient literature such as the works of St Thomas Aquinas Schreibman et al. 2004 . which was expressed already in the late 1940s. Later on humanities researchers started thinking about novel tasks for machines things that were not feasible without the power of computers such as authorship discovery. For NLP the units of processing gradually became more complex and shifted from the character level to units for which string processing is an insufficient basis. At some stage syntactic parsers and generators were seen as a method to prove the correctness of linguistic theories. Nowadays semantic layers can be analysed at much more complex levels of granularity. Not just phrases and .

• Báo cáo khoa học
• NLP and the humanities
• the revival of an old liaison
• Franciska de Jong
• 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