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WILKS, Yorick. Information Extraction as a Core Language Technology, 1997. http://www.dcs.shef.ac.uk/~yorick/papers.html.

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Focusing on Scenario Recognition in Information Extraction - Yankova, Boytcheva (2003)   (Correct)

....as TEMPLATE. The actual structure of the templates used has varied from a flat record structure at MUC 4 [9] to a more complex object oriented definition which was used for Tipster and MUC 5 [2] MUC 6 [7] and MUC 7 [3] Once filled, templates represent an extract of key information from the text [12]. Extracted in formation can be stored in databases for various purposes such as text indexing, information highlighting, data mining, natural language summadsa tion, etc. Different systems provide different approaches for solving semantic problems in i.e. The CRYSTAL system [11] for example, ....

Wilks, Yorick (1997) "Information Extraction as a Core Language Technology", International Summer School, SCIE-97. 48


Automatic Multi-Lingual Information Extraction - Peng (2001)   (Correct)

....speech recognition applications, text and data mining. They all are new companies started recently, which means the technology is just getting hot and has broad prospective. 4 Previous Research Information extraction is a new technology, but not a new idea. Early work can be traced back to 60 s [26, 94]. But the enthusiasm to IE is a recent event because of the explosion of text data. Especially, DARPA, the US defense agency, funded TIPSTER text program to pursue the IE and IR from 1991. The MUCs(Message Understanding Conferences) arose a lot of enthusiasms of researchers around i.e. DARPA also ....

Wilks, Y. Information Extraction as a core language technology, In M-T. Pazienza (ed.), Information Extraction, Springer, Berlin, 1997.


An Approach to Text Mining using Information Extraction - Karanikas, Tjortjis.. (2000)   (Correct)

....of natural language texts (such as newswire reports, newspaper and journal articles, electronic mail, World Wide Web pages, any textual database, etc. into predefined, structured representation, or templates, which, when filled, represent an extract of key information from the original text [14]. The information concerns entities of interest in the application domain (e.g. companies or persons) or relations between such entities, usually in the form of events in which the entities take part (e.g. company takeovers, management successions etc. Once extracted, the information can then ....

Wilks Yorick (1997), "Information Extraction as a Core Language Technology", International Summer School, SCIE-97


A corpus-based approach to Information Extraction - Poibeau   (Correct)

....allow parsing beyond modifiers and other complements and would lead to better results. 3 Some limitations of the ECRAN system The fact that MUC systems, developed in research laboratories, are still far from industrial applications in spite of good results is a problem we should have in mind [Wilks (1997)] Grishman (1997) The appropriateness of the systems in relation to user needs is a dimension that must be taken into account during evaluation. Neither our evaluation nor those made in the Message Understanding Conferences focused on this aspect. In this section, we try to point out some ....

Wilks, Y. (1997). Information Extraction as a core Language Technology. Information Extraction (MT Pazienza ed.), Springer Verlag (Lecture Notes in computer Science), Heidelberg, Germany.


Web Mining Research: A Survey - Kosala, Blockeel (2000)   (36 citations)  (Correct)

.... that is more readily digested and analyzed [33] IE aims to extract relevant facts from the documents while IR aims to select relevant documents [100] While IE is interested in the structure or representation of a document, IR views the text in a document just as a bag of unordered words [123]. Thus, in general IE works at a ner granularity level than IR does on the documents. However, the di erences between the two become blurred if the interest of IR is in extraction [101] and when used in the context of vague forms of information in which a full text IR system can provide some IE ....

....in general IE works at a ner granularity level than IR does on the documents. However, the di erences between the two become blurred if the interest of IR is in extraction [101] and when used in the context of vague forms of information in which a full text IR system can provide some IE features [123]. Building IE systems manually is not feasible and scalable for such a dynamic and diverse medium such as Web contents [94] Due to this nature of the Web, most IE systems focus on speci c Web sites to extract. Others use machine learning or data mining techniques to learn the extraction patterns ....

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Y. Wilks. Information Extraction as a core language technology, volume 1299 of Lecture Notes in Computer Science, chapter In M-T. Pazienza (ed.), Information Extraction, pages 1-9. Springer, 1997.


Guest Editorial: Artificial Intelligence And Software.. - Spyropoulos, Karkaletsis   (Correct)

....all the different information providing technologies: information retrieval, filtering and extraction. Information retrieval and filtering technologies select a relevant subset of documents from a larger set, whereas information extraction technology extracts relevant facts from the documents (Wilks, 1997). Multilingual information retrieval According to (Grefenstette, 1998) multilingual information retrieval involves elements of . machine translation: finding possible translations of words and terms appearing in the original request, information retrieval: normalisation of words in order to ....

....In contrast to information retrieval and filtering technologies where the user receives relevant documents, in information extraction (IE) the user receives relevant facts extracted from the documents and not the documents themselves. As Robert Gaizauskas and Yorick Wilks note in (Gaizauskas and Wilks, 1997) information retrieval retrieves documents from collections, information extraction extracts relevant information from documents. The two techniques are therefore complementary, and their use in combination has the potential to create new powerful tools for text processing . In most cases, the ....

Wilks, Y. 1997. Information Extraction as a Core Language Technology. In Information Extraction: A Multidisciplinary Approach to an Emerging Information technology, ed. M.T.Pazienza, Lecture Notes of AI, No 1299: 1-9.


Below the Surface: Synthesising Technology for The Information.. - Hurst   (Correct)

.... agents act as sophisticated database interfaces implemented as wrappers ( 10] when web pages are accessed they act as document retrieval systems ( 15] pp 26 30) and when information is actually extracted they act as highly specialised (more so than traditional information extraction systems ([17]) information extraction systems ( 1] Such agents are request driven, and passive, not pro active. Some agents wait for prescribed internet locations to change their content and then update their information. This is not quite the passive model, however the agent is not actively pursuing ....

....of the world wide web. It casts the presentation of information on the web as an interface involving documents and procedures. Now we turn to the discussion of the current art, and how this art may be developed to deal with the general problems. Information Extraction Information Extraction ([17]) systems currently provide semantic interpretations of documents. These interpretations are limited in scope to, effectively, filling in fact templates. The documents the systems work with contain only one content domain and are trivial in structure. They include only the text medium. An ....

Yorick Wilks. Information extraction as a core language technology: What is ie? Technical Report CS-97-15, University of Sheffield, Department of Computer Science, 1997.


A Corpus-based Conceptual Clustering Method for Verb.. - Faure, Nédellec (1998)   (23 citations)  (Correct)

.... For example, WORDNET[Miller et al..ty] a very large ontology of about 60 000 English words, is not yet available for French (the project EUROWORDNET [Eurowordnet96] is adapting WORDNET to other European languages) Automatic translation of subparts of WORDNET by using MRD ( Briscoe et al..88] Wilks97] may at first sight be a reasonable solution, but it raises numerous problems. Among others, some English words may have more than one translation in French, while some other may have no direct translation. But a more serious objection raises against the use of a general ontology such as ....

Wilks (Y.). -- Information Extraction as a Core Language Technology. In : Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, ed. par Pazienza (Maria Teresa). -- Frascati, Italy, July, 14-18 1997.


ASIUM: learning subcategorization frames and restrictions .. - Faure, Nédellec (1998)   (17 citations)  (Correct)

.... For example, WordNet[Milty] a very large ontology of about 60.000 English words, is not yet available for French (the project EuroWordNet [Eur96] is adapting WordNet to other European languages) Automatic translation of subparts of WordNet by using Machine Readable Dictionary (MRD) Bri88] [Wil97]) may at first sight be a reasonable solution, but it raises numerous problems. Among others, some English words may have more than one translation in French, while some other may have no direct translation. But a more serious objection raises against the use of a general ontology such as ....

Wilks Y. Information Extraction as a Core Language Technology. In Maria Teresa Pazienza, editor, Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, Frascati, Italy, July, 14-18 1997. LNAI Tutorial, Springer.


Acquisition De Connaissances S'emantiques Par Des M'ethodes.. - Asium David (1998)   (Correct)

....sont trop g en erales pour notre domaine technique particulier et donc incompl etes. Par exemple, WordNet 3 , ontologie de 60 000 mots en anglais n est pas encore disponible pour le Fran cais. La traduction automatique de sous parties de WordNet en utilisant des dictionnaires (mrd 4 ) Wil97] soul eve de nombreux probl emes: par exemple, certains noms ont plusieurs traductions et d autres n ont pas de traduction directe. De plus, WorNet ne connait pas les noms sp ecifiques du domaine et propose de trop nombreux sens pour certains noms augmentant ainsi inutilement l ambiguit e. A ....

Y. Wilks. Information Extraction as a Core Language Technology. In Maria Teresa Pazienza, editor, Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, Frascati, Italy, Juillet, 14-18 1997. LNAI Tutorial, Springer.


An Overview of Document Mining Technology - Dixon (1997)   (2 citations)  (Correct)

....Mining Literature Data mining itself is still a new field and there is little to its history. It is not surprising, therefore, that DM has an even shorter history in itself. Much of the literature in DM comes under the umbrella of information extraction and other closely related areas. Wilks ( Wil97] attributes the short history to the level of computing power required by DM applications, which has only recently become available. Early Information Extraction An early example of information extraction is the program FRUMP, written by Gerald DeJong ( DeJ82] in 1982. This system involved a ....

Yorick Wilks. Information extraction as a core language technology. Information Extraction: A Multidisciplinary Approach to an Emergine Information Technology, Vol. 1299:1--9, June 1997.


E-Business Knowledge Based Information Retrieval - Scarinci, Wives, Loh.. (2002)   (Correct)

No context found.

WILKS, Yorick. Information Extraction as a Core Language Technology, 1997. http://www.dcs.shef.ac.uk/~yorick/papers.html.


Exploiting a Search Engine to Develop More Flexible Web Agents - Shou-De Lin Computer   (Correct)

No context found.

Y. Wilks , Information Extraction as a core language technology. 1997, In M-T. Pazienza (ed.): Springer, Berlin.

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