Object's details: Temporal Expressions in Polish Corpus KPWr

Provider:ISS PAS Journals

Description

Title:
Temporal Expressions in Polish Corpus KPWr
Creator:
Kocoń, Jan;
Marcińczuk, Michał;
Oleksy, Marcin;
Bernaś, Tomasz;
Wolski, Michał
Description:
Temporal Expressions in Polish Corpus KPWrThis article presents the result of the recent research in the interpretation of Polish expressions that refer to time. These expressions are the source of information when something happens, how often something occurs or how long something lasts. Temporal information, which can be extracted from text automatically, plays significant role in many information extraction systems, such as question answering, discourse analysis, event recognition and many more. We prepared PLIMEX — a broad description of Polish temporal expressions with annotation guidelines, based on the state-of-the-art solutions for English, mainly TimeML specification. We also adapted the solution to capture the local semantics of temporal expressions, called LTIMEX. Temporal description also supports further event identification and extends event description model, focusing at anchoring events in time, ordering events and reasoning about the persistence of events. We prepared the specification, which is designed to address these issues and we annotated all documents in Polish Corpus of Wroclaw University of Technology (KPWr) using our annotation guidelines.
Object availability:
free access
Rights:
Copyright (c) 2015 Jan Kocoń, Michał Marcińczuk, Marcin Oleksy, Tomasz Bernaś, Michał Wolski;
http://creativecommons.org/licenses/by/3.0/pl
Date:
2015.12.31
Type:
info:eu-repo/semantics/article;
info:eu-repo/semantics/publishedVersion
Language:
English;
eng
Source:
Cognitive Studies | Études cognitives; No 15 (2015); 293-317;
2392-2397
Format:
application/pdf
Publisher:
Institute of Slavic Studies, Polish Academy of Sciences
Relation: https://ispan.waw.pl/journals/index.php/cs-ec/article/view/cs.2015.020/1766
Subject:
PLIMEX; TIMEX; temporal expressions; TimeML; machine learning; natural language processing; information extraction
Identifier: https://ispan.waw.pl/journals/index.php/cs-ec/article/view/cs.2015.020 ;
10.11649/cs.2015.020
Data provider:
ISS PAS Journals

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