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CATENA: CAusal and TEmporal relation extraction from NAtural language texts
Paramita Mirza
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Sara Tonelli
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
On the contribution of word embeddings to temporal relation classification
Paramita Mirza
|
Sara Tonelli
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Temporal Information Extraction by Predicting Relative Time-lines
Artuur Leeuwenberg
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Marie-Francine Moens
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Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
Qiang Ning
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Hao Wu
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Haoruo Peng
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Dan Roth
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Joint Reasoning for Temporal and Causal Relations
Qiang Ning
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Zhili Feng
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Hao Wu
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Dan Roth
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diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora
Prabal Agarwal
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Jannik Strötgen
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Luciano del Corro
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Johannes Hoffart
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Gerhard Weikum
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Exploiting Partially Annotated Data in Temporal Relation Extraction
Qiang Ning
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Zhongzhi Yu
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Chuchu Fan
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Dan Roth
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Resource-Lean Modeling of Coherence in Commonsense Stories
Niko Schenk
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Christian Chiarcos
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https://github.com/paramitamirza/CATENA
http://www.clres.com/db/classes/ClassTemporal.php
http://ws4jdemo.appspot.com/
https://www.cs.york.ac.uk/semeval-2013/task1/index.php\%3Fid=data.html
http://www.usna.edu/Users/cs/nchamber/caevo/
http://hlt-nlp.fbk.eu/technologies/causal-timebank
https://github.com/paramitamirza/CATENA/data/
http://www.lrec-conf.org/proceedings/lrec2008/
http://www.lrec-conf.org/proceedings/lrec2008/
Field Of Study
Linguistic Trends
Discourse
Task
Semantic Similarity
Relation Extraction
Question Answering
Language
English
Dataset
News
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