In this work we present an annotation framework to capture causality between events, inspired by TimeML, and a language resource covering both temporal and causal relations. This data set is then used to build an automatic extraction system for causal signals and causal links between given event pairs. The evaluation and analysis of the system’s performance provides an insight into explicit causality in text and the connection between temporal and causal relations.
Titolo: | An Analysis of Causality between Events and its Relation to Temporal Information |
Autori: | P., Mirza; Tonelli, Sara |
Autori Unitn: | |
Titolo del volume contenente il saggio: | Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers |
Luogo di edizione: | Dublin, Ireland |
Casa editrice: | Dublin City University and Association for Computational Linguistics |
Anno di pubblicazione: | 2014 |
ISBN: | 9781941643266 |
Handle: | http://hdl.handle.net/11572/97523 |
Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione