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'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics
Research and Development in Intelligent Systems XXX, Pages: 389 - 402
Swansea University Author:
Tom Crick
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DOI (Published version): 10.1007/978-3-319-02621-3_29
Abstract
Detecting and understanding temporal expressions are key tasks in natural language processing (NLP), and are important for event detection and information retrieval. In the existing approaches, temporal semantics are typically represented as discrete ranges or specific dates, and the task is restric...
Published in: | Research and Development in Intelligent Systems XXX |
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ISBN: | 978-3-319-02620-6 978-3-319-02621-3 |
Published: |
Cambridge, UK
Springer
2013
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Online Access: |
https://link.springer.com/chapter/10.1007%2F978-3-319-02621-3_29 |
URI: | https://cronfa.swan.ac.uk/Record/cronfa43777 |
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2022-12-18T17:47:01.3790174 v2 43777 2018-09-12 'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-09-12 EDUC Detecting and understanding temporal expressions are key tasks in natural language processing (NLP), and are important for event detection and information retrieval. In the existing approaches, temporal semantics are typically represented as discrete ranges or specific dates, and the task is restricted to text that conforms to this representation. We propose an alternate paradigm: that of distributed temporal semantics—where a probability density function models relative probabilities of the various interpretations. We extend SUTime, a state-of-the-art NLP system to incorporate our approach, and build definitions of new and existing temporal expressions. A worked example is used to demonstrate our approach: the estimation of the creation time of photos in online social networks (OSNs), with a brief discussion of how the proposed paradigm relates to the point- and interval-based systems of time. An interactive demonstration, along with source code and datasets, are available online. Book chapter Research and Development in Intelligent Systems XXX 389 402 Springer Cambridge, UK 978-3-319-02620-6 978-3-319-02621-3 10 12 2013 2013-12-10 10.1007/978-3-319-02621-3_29 https://link.springer.com/chapter/10.1007%2F978-3-319-02621-3_29 33rd SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2013) COLLEGE NANME Education COLLEGE CODE EDUC Swansea University 2022-12-18T17:47:01.3790174 2018-09-12T06:33:09.3960093 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Ben Blamey 1 Tom Crick 0000-0001-5196-9389 2 Giles Oatley 3 0043777-12092018063433.pdf blamey-et-al-2013.pdf 2018-09-12T06:34:33.1370000 Output 180484 application/pdf Accepted Manuscript true 2018-09-12T00:00:00.0000000 true eng |
title |
'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics |
spellingShingle |
'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics Tom Crick |
title_short |
'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics |
title_full |
'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics |
title_fullStr |
'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics |
title_full_unstemmed |
'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics |
title_sort |
'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics |
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200c66ef0fc55391f736f6e926fb4b99 |
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200c66ef0fc55391f736f6e926fb4b99_***_Tom Crick |
author |
Tom Crick |
author2 |
Ben Blamey Tom Crick Giles Oatley |
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Book chapter |
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Research and Development in Intelligent Systems XXX |
container_start_page |
389 |
publishDate |
2013 |
institution |
Swansea University |
isbn |
978-3-319-02620-6 978-3-319-02621-3 |
doi_str_mv |
10.1007/978-3-319-02621-3_29 |
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Springer |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies |
url |
https://link.springer.com/chapter/10.1007%2F978-3-319-02621-3_29 |
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description |
Detecting and understanding temporal expressions are key tasks in natural language processing (NLP), and are important for event detection and information retrieval. In the existing approaches, temporal semantics are typically represented as discrete ranges or specific dates, and the task is restricted to text that conforms to this representation. We propose an alternate paradigm: that of distributed temporal semantics—where a probability density function models relative probabilities of the various interpretations. We extend SUTime, a state-of-the-art NLP system to incorporate our approach, and build definitions of new and existing temporal expressions. A worked example is used to demonstrate our approach: the estimation of the creation time of photos in online social networks (OSNs), with a brief discussion of how the proposed paradigm relates to the point- and interval-based systems of time. An interactive demonstration, along with source code and datasets, are available online. |
published_date |
2013-12-10T03:55:07Z |
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1763752759799054336 |
score |
11.021648 |