Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 16. Dezember 2019)
1Stede, M.: Lexicalization in natural language generation.
In: Encyclopedia of library and information science. Vol.70, [=Suppl.33]. New York : Dekker, 2002. S.277-294.
Abstract: Natural language generation (NLG), the automatic production of text by Computers, is commonly seen as a process consisting of the following distinct phases: Obviously, choosing words is a central aspect of generatiog language. In which of the these phases it should take place is not entirely clear, however. The decision depends an various factors: what exactly is seen as an individual lexical item; how the relation between word meaning and background knowledge (concepts) is defined; how one accounts for the interactions between individual lexical choices in the Same sentence; what criteria are employed for choosing between similar words; whether or not output is required in one or more languages. This article surveys these issues and the answers that have been proposed in NLG research. For many applications of natural language processing, large scale lexical resources have become available in recent years, such as the WordNet database. In language generation, however, generic lexicons are not in use yet; rather, almost every generation project develops its own format for lexical representations. The reason is that the entries of a generation lexicon need their specific interfaces to the Input representations processed by the generator; lexical semantics in an NLG lexicon needs to be tailored to the Input. Ort the other hand, the large lexicons used for language analysis typically have only very limited semantic information at all. Yet the syntactic behavior of words remains the same regardless of the particular application; thus, it should be possible to build at least parts of generic NLG lexical entries automatically, which could then be used by different systems.
2Klein, A. ; Weis, U. ; Stede, M.: ¬Der Einsatz von Sprachverarbeitungstools beim Sprachenlernen im Intranet.
In: Sprachtechnologie für eine dynamische Wirtschaft im Medienzeitalter - Language technologies for dynamic business in the age of the media - L'ingénierie linguistique au service de la dynamisation économique à l'ère du multimédia: Tagungsakten der XXVI. Jahrestagung der Internationalen Vereinigung Sprache und Wirtschaft e.V., 23.-25.11.2000, Fachhochschule Köln. Hrsg.: K.-D. Schmitz. Wien : Termnet, 2000. S.179-187.
3Hofstede, M.: Zoeken in PiCarta : de proef op de som.
In: Informatie professional. 2(1998) no.11, S.16-21.
Abstract: The proliferation of electronic databases and reduced library collections require researchers to be familiar with an increasing range of bibliographical resources. To assist users in searching multiple databases the PICA network in the Netherlands has developed PiCarta as a single information source. The servie enables users to access bibliographical databases and electronic journals using Boolean logic, fuzzy operators, and subject weighting. The system is, however, dependent upon indexing methods used in original sources
Anmerkung: Übers. d. Titels: Searching in PiCarta: the proof is in the pudding
Themenfeld: Internet ; Informationsmittel
4Stede, M.: Lexical paraphrases in multilingual sentence generation.
In: Machine translation. 11(1996) nos.1-3, S.75-107.
6Sieverts, E.G. ; Hofstede, M.: Software for information storage and retrieval, evaluated and compared : pt.7: what to choose, or the purpose of it all.
In: Electronic library. 12(1994) no.1, S.21-26.
Abstract: The more than 3700 data presented in the tables of preceding articles in this series, pertaining 37 different software packages for information storage and retrieval (ISR), may seem overwhelming to the reader who needs to make a well-founded choice. To make this task easier, some general questions can be asked with respect to the desired ISR application. These questions can be summarised as: what sort of information? How much? For whom? For what purpose? At what cost? The discussion about user needs, typical applications and lists of demands centres around these five basic questions in relation to the categories of retrieval software which were identified in the six earlier articles. They cover the whole range from bibliographic software to advanced full-text retrieval software
Anmerkung: Letzter Artikel der Folge
Themenfeld: Bibliographische Software
7Stede, M.: Lexicalization in natural language generation : a survey.
In: Artificial intelligence review. 8(1994/95) no.4, S.309-336.
Abstract: In natural language generation, a meaning representation of some kind is successively transformed into a sentence or a text. Naturally, a central subtask of this problem is the choice of words, or lexicalization. Proposes 4 major issues that determine how a generator tackles lexicalization, and surveys the contributions that research have made to them. Identifies open problems, and sketches a possible direction for research
8Sieverts, E.G. ; Hofstede, M. ; Nieuwland, A. ; Groeneveld, C. ; Zwart, B. de: Software for information storage and retrieval tested, evaluated and compared : pt.6: various additional programs.
In: Electronic library. 11(1993) no.2, S.73-92.
Abstract: In this article, the sixth in a series on microcomputer software for information storage and retrieval, test results of nine programs are presented and various properties and qualities of these programs are discussed. We discuss additional programs for information storage and retrieval and for text retrieval from several of the various categories which have been looked at in previous instalments. On new (secondary) type of ISR software is defined as administrative software. The program review in this issue are BRS-Search, dtSearch, InfoBank, Micro-OPC, Q&A, STN-PFS, Strix, TINman and ZYIndex. All but dtSearch and ZYIndex can be regarded as primarily classical retrieval packages; Q&A boasts comprehensive administrative features as well; dtSearch and ZYIndex are indexing programs. For ZYIndex a new Windows version has been tested. All other programs run under MS-DOS. For each of the nine programs about 100 facts and test results are tabulated. All the programs are individually discussed as well
Themenfeld: Bibliographische Software
Objekt: BRS-Search ; dtSearch ; InfoBank ; Micro-OPC ; Q&A ; STN-PFS ; Strix ; TINman ; ZyIndex
10Sieverts, E.G. ; Hofstede, M. ; Groeniger, B.O.: Software for information storage and retrieval tested, evaluated and compared : pt.4: indexing and full-text retrieval programs.
In: Electronic library. 10(1992) no.4, S.195-207.
Abstract: In this article, the fourth in a series on microcomputer software for information storage and retrieval, test results of six indexing and full-text retrieval programs are presented and various properties and qualities of these programs are discussed. The common faeture of programs in these categories is that they are primarily meant to retrieve words (or combination of them) in large text files. To do this they either simply index existing text files in one or more formats (indexing programs), or they store and index them in their own database format (full-text retrieval programs). The programs reviewed in this issue are the indexing programs Ask-it, Texplore and ZYindex and the full-text retrieval programs KAware, textMaster and WordCruncher. All programs run under MS-DOS. In addition ZYindex has a Windows and a Unix version and TextMaster is also available for for Unix. For each of the six programs almost 100 facts and test results are tabulated. The programs are also discussed individually
Themenfeld: Bibliographische Software ; Volltextretrieval
Objekt: AskIt ; KAware ; Texplore ; TextMaster ; WordCruncher ; ZyIndex
12Sieverts, E.G. ; Hofstede, M. ; Haak, P.H. ; Nieuwenhuysen, P. ; Scheepsma, G.M.A. ; Veeger, L. ; Vis, G.C.: Software for information storage and retrieval tested, evaluated and compared : Pt. 2: Classical retrieval systems.
In: Electronic library. 9(1991), S.301-316.
Themenfeld: Bibliographische Software