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024 7 _a10.1007/978-3-540-75989-8
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050 4 _aTA347.A78
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245 1 0 _aAnnotating, Extracting and Reasoning about Time and Events
_h[electronic resource] :
_bInternational Seminar, Dagstuhl Castle, Germany, April 20-15, 2005, Revised Papers /
_cedited by Frank Schilder, Graham Katz, James Pustejovsky.
250 _a1st ed. 2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2007.
300 _aVII, 144 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4795
505 0 _aAnnotating, Extracting and Reasoning About Time and Events -- Drawing TimeML Relations with TBox -- Text Type and the Position of a Temporal Adverbial Within the Sentence -- Effective Use of TimeBank for TimeML Analysis -- Event Extraction and Temporal Reasoning in Legal Documents -- Computational Treatment of Temporal Notions: The CTTN–System -- Towards a Denotational Semantics for TimeML -- Arguments in TimeML: Events and Entities -- Chronoscopes: A Theory of Underspecified Temporal Representations.
520 _aThe Dagstuhl Seminar 05151 “Annotating, Extracting and Reasoning about Time and Events” took place April 10–15, 2005 at the International Conference and Research Center (IBFI), Schloss Dagstuhl, Germany. During the seminar, 17 leading researchers from 5 di?erent countries presented current research and discussed open problems concerning annotation, temporal reasoning, and event identi?cation. The work presented at this seminar, together with other previous andongoingresearch,centersaroundanemergingde factostandardfortime and event annotation: TimeML. TimeML has recently been adopted as a candidate for an ISO standard, and is currently being reviewed in this capacity. At the seminar, the discussions focussed on the following three Time- related issues: using the TimeML language e?ectively for consistent annotation, determining how useful such annotation is for further processing,and describing modi?cations that should be applied to the standard for applications such as question-answering and information retrieval. Discussions at the Dagstuhl Seminar led to new researchideas, and a variety ofpublicationsandconferenceandworkshoppresentationsresulted.Thiscurrent collection of papers adds to the growing body of work on TimeML. It focusses on important sub-areas within TimeML research such as temporal annotation and temporal reasoning and points to future research directions that are crucial for further progress.
650 0 _aArtificial intelligence.
650 0 _aData mining.
650 0 _aInformation storage and retrieval systems.
650 0 _aNatural language processing (Computer science).
650 0 _aMachine theory.
650 1 4 _aArtificial Intelligence.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aNatural Language Processing (NLP).
650 2 4 _aFormal Languages and Automata Theory.
700 1 _aSchilder, Frank.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKatz, Graham.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPustejovsky, James.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540759881
776 0 8 _iPrinted edition:
_z9783540845416
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4795
856 4 0 _uhttps://doi.org/10.1007/978-3-540-75989-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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