-
Experimentelles und praktisches Information Retrieval : Festschrift für Gerhard Lustig (1992)
0.01
0.012376143 = product of:
0.07013147 = sum of:
0.030420816 = weight(_text_:und in 4) [ClassicSimilarity], result of:
0.030420816 = score(doc=4,freq=28.0), product of:
0.055336144 = queryWeight, product of:
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.024967048 = queryNorm
0.54974586 = fieldWeight in 4, product of:
5.2915025 = tf(freq=28.0), with freq of:
28.0 = termFreq=28.0
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.046875 = fieldNorm(doc=4)
0.033585835 = weight(_text_:informationswissenschaft in 4) [ClassicSimilarity], result of:
0.033585835 = score(doc=4,freq=2.0), product of:
0.11246919 = queryWeight, product of:
4.504705 = idf(docFreq=1328, maxDocs=44218)
0.024967048 = queryNorm
0.29862255 = fieldWeight in 4, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.504705 = idf(docFreq=1328, maxDocs=44218)
0.046875 = fieldNorm(doc=4)
0.006124827 = weight(_text_:in in 4) [ClassicSimilarity], result of:
0.006124827 = score(doc=4,freq=8.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.18034597 = fieldWeight in 4, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.046875 = fieldNorm(doc=4)
0.1764706 = coord(3/17)
- Content
- Enthält die Beiträge: SALTON, G.: Effective text understanding in information retrieval; KRAUSE, J.: Intelligentes Information retrieval; FUHR, N.: Konzepte zur Gestaltung zukünftiger Information-Retrieval-Systeme; HÜTHER, H.: Überlegungen zu einem mathematischen Modell für die Type-Token-, die Grundform-Token und die Grundform-Type-Relation; KNORZ, G.: Automatische Generierung inferentieller Links in und zwischen Hyperdokumenten; KONRAD, E.: Zur Effektivitätsbewertung von Information-Retrieval-Systemen; HENRICHS, N.: Retrievalunterstützung durch automatisch generierte Wortfelder; LÜCK, W., W. RITTBERGER u. M. SCHWANTNER: Der Einsatz des Automatischen Indexierungs- und Retrieval-System (AIR) im Fachinformationszentrum Karlsruhe; REIMER, U.: Verfahren der Automatischen Indexierung. Benötigtes Vorwissen und Ansätze zu seiner automatischen Akquisition: Ein Überblick; ENDRES-NIGGEMEYER, B.: Dokumentrepräsentation: Ein individuelles prozedurales Modell des Abstracting, des Indexierens und Klassifizierens; SEELBACH, D.: Zur Entwicklung von zwei- und mehrsprachigen lexikalischen Datenbanken und Terminologiedatenbanken; ZIMMERMANN, H.: Der Einfluß der Sprachbarrieren in Europa und Möglichkeiten zu ihrer Minderung; LENDERS, W.: Wörter zwischen Welt und Wissen; PANYR, J.: Frames, Thesauri und automatische Klassifikation (Clusteranalyse): HAHN, U.: Forschungsstrategien und Erkenntnisinteressen in der anwendungsorientierten automatischen Sprachverarbeitung. Überlegungen zu einer ingenieurorientierten Computerlinguistik; KUHLEN, R.: Hypertext und Information Retrieval - mehr als Browsing und Suche.
- Series
- Schriften zur Informationswissenschaft; Bd.3
-
Volk, M.; Mittermaier, H.; Schurig, A.; Biedassek, T.: Halbautomatische Volltextanalyse, Datenbankaufbau und Document Retrieval (1992)
0.00
0.0037931204 = product of:
0.032241523 = sum of:
0.025095893 = weight(_text_:und in 2571) [ClassicSimilarity], result of:
0.025095893 = score(doc=2571,freq=14.0), product of:
0.055336144 = queryWeight, product of:
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.024967048 = queryNorm
0.4535172 = fieldWeight in 2571, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.0546875 = fieldNorm(doc=2571)
0.0071456316 = weight(_text_:in in 2571) [ClassicSimilarity], result of:
0.0071456316 = score(doc=2571,freq=8.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.21040362 = fieldWeight in 2571, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0546875 = fieldNorm(doc=2571)
0.11764706 = coord(2/17)
- Abstract
- In diesem Aufsatz beschreiben wir ein System zur Analyse von Kurzartikeln. Das System arbeitet halbautomatisch. Das heißt, zunächst wird der Artikel vom System analysiert und dann dem benutzer zur Nachberarbeitung vorgelegt. Die so gewonnene Information wird in einem Datenbankeintrag abgelegt. Über die Datenbank - in dBase IV implementiert - sind dann Abfragen und Zugriffe auf die Originaltexte effizient möglich. Der Kern dieses Aufsatzes betrifft die halbautomatische Analyse. Wir beschreiben unser Verfahren für parametrisiertes Pattern Matching sowie linguistische Heuristiken zur Ermittlung von Nominalphrasen und Präpositionalphrasen. Das System wurde für den praktischen Einsatz im Bonner Büro des 'Forums InformatikerInnen Für Frieden und gesellschaftliche Verantwortung e.V. (FIFF)' entwickelt
- Source
- Datenanalyse, Klassifikation und Informationsverarbeitung: Methoden und Anwendungen in verschiedenen Fachgebieten. Hrsg.: H. Goebl u. M. Schader
-
Stock, M.; Stock, W.G.: Literaturnachweis- und Terminologiedatenbank : die Erfassung von Fachliteratur und Fachterminologie eines Fachgebiets in einer kombinierten Datenbank (1991)
0.00
0.003610394 = product of:
0.03068835 = sum of:
0.02347017 = weight(_text_:und in 3411) [ClassicSimilarity], result of:
0.02347017 = score(doc=3411,freq=6.0), product of:
0.055336144 = queryWeight, product of:
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.024967048 = queryNorm
0.42413816 = fieldWeight in 3411, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.078125 = fieldNorm(doc=3411)
0.007218178 = weight(_text_:in in 3411) [ClassicSimilarity], result of:
0.007218178 = score(doc=3411,freq=4.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.21253976 = fieldWeight in 3411, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.078125 = fieldNorm(doc=3411)
0.11764706 = coord(2/17)
- Abstract
- In wissenschaftlichen Spezialgebieten kann über den Aufbau einer Literaturdatenbank gleichzeitig eine Terminologiedatenbank mit erstellt werden. Als Dokumentationsmethode eignet sich die Textwortmethode mit Übersetzungrelation. Mit dem Softwarepaket LBase aufgebaute Druckbildprogramme gestatten die Ausgabe von Bibliographien und Wörterbüchern
-
Zimmermann, H.H.: Wortrelationierung in der Sprachtechnik : Stilhilfen, Retrievalhilfen, Übersetzungshilfen (1992)
0.00
0.00293205 = product of:
0.024922425 = sum of:
0.01626061 = weight(_text_:und in 1372) [ClassicSimilarity], result of:
0.01626061 = score(doc=1372,freq=2.0), product of:
0.055336144 = queryWeight, product of:
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.024967048 = queryNorm
0.29385152 = fieldWeight in 1372, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.09375 = fieldNorm(doc=1372)
0.008661814 = weight(_text_:in in 1372) [ClassicSimilarity], result of:
0.008661814 = score(doc=1372,freq=4.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.25504774 = fieldWeight in 1372, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.09375 = fieldNorm(doc=1372)
0.11764706 = coord(2/17)
- Series
- Fortschritte in der Wissensorganisation; Bd.2
- Source
- Kognitive Ansätze zum Ordnen und Darstellen von Wissen. 2. Tagung der Deutschen ISKO Sektion einschl. der Vorträge des Workshops "Thesauri als Werkzeuge der Sprachtechnologie", Weilburg, 15.-18.10.1991
-
Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996)
0.00
0.0022712122 = product of:
0.019305304 = sum of:
0.0057745427 = weight(_text_:in in 6752) [ClassicSimilarity], result of:
0.0057745427 = score(doc=6752,freq=4.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.17003182 = fieldWeight in 6752, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0625 = fieldNorm(doc=6752)
0.013530762 = product of:
0.027061524 = sum of:
0.027061524 = weight(_text_:22 in 6752) [ClassicSimilarity], result of:
0.027061524 = score(doc=6752,freq=2.0), product of:
0.08743035 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.024967048 = queryNorm
0.30952093 = fieldWeight in 6752, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=6752)
0.5 = coord(1/2)
0.11764706 = coord(2/17)
- Abstract
- AutoSlog is a system that addresses the knowledge engineering bottleneck for information extraction. AutoSlog automatically creates domain specific dictionaries for information extraction, given an appropriate training corpus. Describes experiments with AutoSlog in terrorism, joint ventures and microelectronics domains. Compares the performance of AutoSlog across the 3 domains, discusses the lessons learned and presents results from 2 experiments which demonstrate that novice users can generate effective dictionaries using AutoSlog
- Date
- 6. 3.1997 16:22:15
-
Larroche-Boutet, V.; Pöhl, K.: ¬Das Nominalsyntagna : über die Nutzbarmachung eines logico-semantischen Konzeptes für dokumentarische Fragestellungen (1993)
0.00
9.762304E-4 = product of:
0.016595917 = sum of:
0.016595917 = weight(_text_:und in 5282) [ClassicSimilarity], result of:
0.016595917 = score(doc=5282,freq=12.0), product of:
0.055336144 = queryWeight, product of:
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.024967048 = queryNorm
0.29991096 = fieldWeight in 5282, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.0390625 = fieldNorm(doc=5282)
0.05882353 = coord(1/17)
- Abstract
- Am Anfang nachfolgender Ausführungen werden die für die Indexierung großer textmengen notwendigen strategischen Entscheidungen aufgezeigt: es müssen sowohl das Indexierungsverfahren (menschliche oder automatische Indexierung) als auch die Indexierungssparche (freie, kontrollierte oder natürliche Sprache) ausgewählt werden. Hierbei hat sich die Forschungsgruppe SYDO-LYON für natürlichsprachige automatische Vollindexierung entschieden. Auf der Grundlage der Unterscheidung zwischen prädikativen und referentiellen Textteilen wird d as Nominalsyntagma als kleinste referentielle Texteinheit definiert, dann das für die Konstituierung eines Nominalsyntagmas entscheidende Phänomen der Aktualisierung erläutert und schließlich auf die morphologischen Mittel zur Erkennung des Nominalsyntagmas hingewiesen. Alle Nominalsyntagma eines Textes werden als dessen potentielle Deskriptoren extrahiert, und Hilfsmittel für die Benutzer einer mit diesem Indexierungsverfahren arbeitenden Datenbank werden vorgestellt. Außerdem wird der begriff der Anapher (d.h. die Wiederaufnahme von Nominalsyntagmen durch Pronomen) kurz definiert, ihre Anwendung als Mittel zur Gewichtung des Deskriptorterme (durch Zählung ihrer Häufigkeit im text) aufgezeigt und morphologische uns syntaktische Regeln zur automatischen Bestimmung des von einem anaphorischen Pronomen aufgenommenen Nominalsyntagmas aufgestellt. Bevor abschließend Ziele und Grenzen der Arbeit diskutiert werden, wird noch auf einen Unterschied zwischen Nominalsyntagma und Deskriptorterm hingewiesen: das Nonimalsyntagma verweist auf ein Objekt, das ein Einzelobjekt oder eine Klasse sein kann, der Deskriptorterm verweist immer auf eine Klasse
-
Chowdhury, G.G.: Natural language processing and information retrieval : pt.1: basic issues; pt.2: major applications (1991)
0.00
4.245987E-4 = product of:
0.007218178 = sum of:
0.007218178 = weight(_text_:in in 3313) [ClassicSimilarity], result of:
0.007218178 = score(doc=3313,freq=4.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.21253976 = fieldWeight in 3313, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.078125 = fieldNorm(doc=3313)
0.05882353 = coord(1/17)
- Abstract
- Reviews the basic issues and procedures involved in natural language processing of textual material for final use in information retrieval. Covers: natural language processing; natural language understanding; syntactic and semantic analysis; parsing; knowledge bases and knowledge representation
-
Cheng, K.-H.: Automatic identification for topics of electronic documents (1997)
0.00
4.203313E-4 = product of:
0.0071456316 = sum of:
0.0071456316 = weight(_text_:in in 1811) [ClassicSimilarity], result of:
0.0071456316 = score(doc=1811,freq=8.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.21040362 = fieldWeight in 1811, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0546875 = fieldNorm(doc=1811)
0.05882353 = coord(1/17)
- Abstract
- With the rapid rise in numbers of electronic documents on the Internet, how to effectively assign topics to documents become an important issue. Current research in this area focuses on the behaviour of nouns in documents. Proposes, however, that nouns and verbs together contribute to the process of topic identification. Constructs a mathematical model taking into account the following factors: word importance, word frequency, word co-occurence, and word distance. Preliminary experiments ahow that the performance of the proposed model is equivalent to that of a human being
- Footnote
- [In Chinesisch]
-
Renouf, A.: Sticking to the text : a corpus linguist's view of language (1993)
0.00
3.640176E-4 = product of:
0.006188299 = sum of:
0.006188299 = weight(_text_:in in 2314) [ClassicSimilarity], result of:
0.006188299 = score(doc=2314,freq=6.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.1822149 = fieldWeight in 2314, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0546875 = fieldNorm(doc=2314)
0.05882353 = coord(1/17)
- Abstract
- Corpus linguistics is the study of large, computer held bodies of text. Some corpus linguists are concerned with language descriptions for its own sake. On the corpus-linguistic continuum, the study of raw ASCII text is situated at one end, and the study of heavily pre-coded text at the other. Discusses the use of word frequency to identify changes in the lexicon; word repetition and word positioning in automatic abstracting and word clusters in automatic text retrieval. Compares the machine extract with manual abstracts. Abstractors and indexers may find themselves taking the original wording of the text more into account as the focus moves towards the electronic medium and away from the hard copy
-
Wacholder, N.; Byrd, R.J.: Retrieving information from full text using linguistic knowledge (1994)
0.00
3.6028394E-4 = product of:
0.006124827 = sum of:
0.006124827 = weight(_text_:in in 8524) [ClassicSimilarity], result of:
0.006124827 = score(doc=8524,freq=8.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.18034597 = fieldWeight in 8524, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.046875 = fieldNorm(doc=8524)
0.05882353 = coord(1/17)
- Abstract
- Examines how techniques in the field of natural language processing can be applied to the analysis of text in information retrieval. State of the art text searching programs cannot distinguish, for example, between occurrences of the sickness, AIDS and aids as tool or between library school and school nor equate such terms as online or on-line which are variants of the same form. To make these distinction, systems must incorporate knowledge about the meaning of words in context. Research in natural language processing has concentrated on the automatic 'understanding' of language; how to analyze the grammatical structure and meaning of text. Although many asoects of this research remain experimental, describes how these techniques to recognize spelling variants, names, acronyms, and abbreviations
-
Fox, C.: Lexical analysis and stoplists (1992)
0.00
3.3967898E-4 = product of:
0.0057745427 = sum of:
0.0057745427 = weight(_text_:in in 3502) [ClassicSimilarity], result of:
0.0057745427 = score(doc=3502,freq=4.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.17003182 = fieldWeight in 3502, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0625 = fieldNorm(doc=3502)
0.05882353 = coord(1/17)
- Abstract
- Lexical analysis is a fundamental operation in both query processing and automatic indexing, and filtering stoplist words is an important step in the automatic indexing process. Presents basic algorithms and data structures for lexical analysis, and shows how stoplist word removal can be efficiently incorporated into lexical analysis
-
SIGIR'92 : Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (1992)
0.00
3.1524844E-4 = product of:
0.0053592236 = sum of:
0.0053592236 = weight(_text_:in in 6671) [ClassicSimilarity], result of:
0.0053592236 = score(doc=6671,freq=18.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.15780272 = fieldWeight in 6671, product of:
4.2426405 = tf(freq=18.0), with freq of:
18.0 = termFreq=18.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.02734375 = fieldNorm(doc=6671)
0.05882353 = coord(1/17)
- Abstract
- The conference was organized by the Royal School of Librarianship in Copenhagen and was held in cooperation with AICA-GLIR (Italy), BCS-IRSG (UK), DD (Denmark), GI (Germany), INRIA (France). It had support from Apple Computer, Denmark. The volume contains the 32 papers and reports on the two panel sessions, moderated by W.B. Croft, and R. Kovetz, respectively
- Content
- HARMAN, D.: Relevance feedback revisited; AALBERSBERG, I.J.: Incremental relevance feedback; TAGUE-SUTCLIFFE, J.: Measuring the informativeness of a retrieval process; LEWIS, D.D.: An evaluation of phrasal and clustered representations on a text categorization task; BLOSSEVILLE, M.J., G. HÉBRAIL, M.G. MONTEIL u. N. PÉNOT: Automatic document classification: natural language processing, statistical analysis, and expert system techniques used together; MASAND, B., G. LINOFF u. D. WALTZ: Classifying news stories using memory based reasoning; KEEN, E.M.: Term position ranking: some new test results; CROUCH, C.J. u. B. YANG: Experiments in automatic statistical thesaurus construction; GREFENSTETTE, G.: Use of syntactic context to produce term association lists for text retrieval; ANICK, P.G. u. R.A. FLYNN: Versioning of full-text information retrieval system; BURKOWSKI, F.J.: Retrieval activities in a database consisting of heterogeneous collections; DEERWESTER, S.C., K. WACLENA u. M. LaMAR: A textual object management system; NIE, J.-Y.:Towards a probabilistic modal logic for semantic-based information retrieval; WANG, A.W., S.K.M. WONG u. Y.Y. YAO: An analysis of vector space models based on computational geometry; BARTELL, B.T., G.W. COTTRELL u. R.K. BELEW: Latent semantic indexing is an optimal special case of multidimensional scaling; GLAVITSCH, U. u. P. SCHÄUBLE: A system for retrieving speech documents; MARGULIS, E.L.: N-Poisson document modelling; HESS, M.: An incrementally extensible document retrieval system based on linguistics and logical principles; COOPER, W.S., F.C. GEY u. D.P. DABNEY: Probabilistic retrieval based on staged logistic regression; FUHR, N.: Integration of probabilistic fact and text retrieval; CROFT, B., L.A. SMITH u. H. TURTLE: A loosely-coupled integration of a text retrieval system and an object-oriented database system; DUMAIS, S.T. u. J. NIELSEN: Automating the assignement of submitted manuscripts to reviewers; GOST, M.A. u. M. MASOTTI: Design of an OPAC database to permit different subject searching accesses; ROBERTSON, A.M. u. P. WILLETT: Searching for historical word forms in a database of 17th century English text using spelling correction methods; FAX, E.A., Q.F. CHEN u. L.S. HEATH: A faster algorithm for constructing minimal perfect hash functions; MOFFAT, A. u. J. ZOBEL: Parameterised compression for sparse bitmaps; GRANDI, F., P. TIBERIO u. P. Zezula: Frame-sliced patitioned parallel signature files; ALLEN, B.: Cognitive differences in end user searching of a CD-ROM index; SONNENWALD, D.H.: Developing a theory to guide the process of designing information retrieval systems; CUTTING, D.R., J.O. PEDERSEN, D. KARGER, u. J.W. TUKEY: Scatter/ Gather: a cluster-based approach to browsing large document collections; CHALMERS, M. u. P. CHITSON: Bead: Explorations in information visualization; WILLIAMSON, C. u. B. SHNEIDERMAN: The dynamic HomeFinder: evaluating dynamic queries in a real-estate information exploring system
-
Garfield, E.: ¬The relationship between mechanical indexing, structural linguistics and information retrieval (1992)
0.00
2.401893E-4 = product of:
0.004083218 = sum of:
0.004083218 = weight(_text_:in in 3632) [ClassicSimilarity], result of:
0.004083218 = score(doc=3632,freq=2.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.120230645 = fieldWeight in 3632, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0625 = fieldNorm(doc=3632)
0.05882353 = coord(1/17)
- Abstract
- It is possible to locate over 60% of indexing terms used in the Current List of Medical Literature by analysing the titles of the articles. Citation indexes contain 'noise' and lack many pertinent citations. Mechanical indexing or analysis of text must begin with some linguistic technique. Discusses Harris' methods of structural linguistics, discourse analysis and transformational analysis. Provides 3 examples with references, abstracts and index entries
-
Malone, L.C.; Driscoll, J.R.; Pepe, J.W.: Modeling the performance of an automated keywording system (1991)
0.00
2.401893E-4 = product of:
0.004083218 = sum of:
0.004083218 = weight(_text_:in in 6682) [ClassicSimilarity], result of:
0.004083218 = score(doc=6682,freq=2.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.120230645 = fieldWeight in 6682, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0625 = fieldNorm(doc=6682)
0.05882353 = coord(1/17)
- Abstract
- Presents a model for predicting the performance of a computerised keyword assigning and indexing system. Statistical procedures were investigated in order to protect against incorrect keywording by the system behaving as an expert system designed to mimic the behaviour of human keyword indexers and representing lessons learned from military exercises and operations
-
Driscoll, J.R.; Rajala, D.A.; Shaffer, W.H.: ¬The operation and performance of an artificially intelligent keywording system (1991)
0.00
2.1016564E-4 = product of:
0.0035728158 = sum of:
0.0035728158 = weight(_text_:in in 6681) [ClassicSimilarity], result of:
0.0035728158 = score(doc=6681,freq=2.0), product of:
0.033961542 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.024967048 = queryNorm
0.10520181 = fieldWeight in 6681, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0546875 = fieldNorm(doc=6681)
0.05882353 = coord(1/17)
- Abstract
- Presents a new approach to text analysis for automating the key phrase indexing process, using artificial intelligence techniques. This mimics the behaviour of human experts by using a rule base consisting of insertion and deletion rules generated by subject-matter experts. The insertion rules are based on the idea that some phrases found in a text imply or trigger other phrases. The deletion rules apply to semantically ambiguous phrases where text presence alone does not determine appropriateness as a key phrase. The insertion and deletion rules are used to transform a list of found phrases to a list of key phrases for indexing a document. Statistical data are provided to demonstrate the performance of this expert rule based system
