By Yorick Wilks (auth.), Maria Teresa Pazienza (eds.)
Information extraction (IE) is a brand new know-how allowing appropriate content material to be extracted from textual details to be had electronically. IE primarily builds on common language processing and computational linguistics, however it can be heavily relating to the good verified zone of data retrieval and includes studying. In live performance with different promising and rising details engineering applied sciences like info mining, clever facts research, and textual content summarization, IE will play a very important position for scientists and pros in addition to different end-users who've to accommodate massive quantities of data, for instance from the web. because the first booklet completely dedicated to IE, it really is of relevance to anyone drawn to new and rising tendencies in details processing technology.
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Details extraction (IE) is a brand new know-how permitting correct content material to be extracted from textual info to be had electronically. IE basically builds on usual language processing and computational linguistics, however it can be heavily with regards to the good confirmed sector of data retrieval and contains studying.
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Additional resources for Information Extraction A Multidisciplinary Approach to an Emerging Information Technology: International Summer School, SCIE-97 Frascati, Italy, July 14–18, 1997
One solution is to utilise a word sense tagger, the results of which could be used to determine which concept node in the domain model each referring term should map to. g. [22, 21]. , selectional restrictions as a set of constraints which, when satisfied, will hopefully eliminate all but one sense for each semantically ambiguous word in the input. Other information, such as the frequency of sense occurrences, may also be brought to bear in the 2 We are indebted to Roberto Garigliano for this example.
23 Clausal patterns need also to account for modifiers which can intervene between the sentence elements of interest. For example, we m a y find between the subject and verb either sentence modifiers IBM yesterday promoted Mr. Smith to executive vice president. or noun modifiers which are not accounted for by the noun phrase patterns GE, which was founded in 1880, promoted Mr. Smith to president. With our partial parsing approach, we would need to include optional pattern elements separately in each clausal pattern to match such modifiers.
4 Real World Data The current French/English system has been developed through experimentation with a small corpus (about 20 texts) of parallel French and English texts t While discourse processing manipulates language-independent representations, some of the processing may need to be parametrised by language. For example, languagespecific word order constraints may need to be taken into account in performing coreference. 38 from Canada NewsWire Ltd. Using the domain model developed for the MUC-6 management succession task, for the extraction of information regarding changes in company managerial positions, the prototype M-LaSIE system successfully processes these texts and carries out English-English, English-French, FrenchEnglish, and French-French extraction (template filling and summarisation).
Information Extraction A Multidisciplinary Approach to an Emerging Information Technology: International Summer School, SCIE-97 Frascati, Italy, July 14–18, 1997 by Yorick Wilks (auth.), Maria Teresa Pazienza (eds.)