@inproceedings{puscasu-mitkov-2006-establishing,
title = "If {``}it{''} were {``}then{''}, then when was {``}it{''}? Establishing the anaphoric role of {``}then{''}",
author = "Pu{\c{s}}ca{\c{s}}u, Georgiana and
Mitkov, Ruslan",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Gangemi, Aldo and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Tapias, Daniel",
booktitle = "Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC}{'}06)",
month = may,
year = "2006",
address = "Genoa, Italy",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2006/pdf/680_pdf.pdf",
abstract = "The adverb ``then'' is among the most frequent Englishtemporal adverbs, being also capable of filling a variety of semantic roles. The identification of anaphoric usages of ``then``is important for temporal expression resolution, while thetemporal relationship usage is important for event ordering. Given that previous work has not tackled the identification and temporal resolution of anaphoric ``then'', this paper presents a machine learning approach for setting apart anaphoric usages and a rule-based normaliser that resolves it with respect to an antecedent. The performance of the two modules is evaluated. The present paper also describes the construction of an annotated corpus and the subsequent derivation of training data required by the machine learning module.",
}
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<abstract>The adverb “then” is among the most frequent Englishtemporal adverbs, being also capable of filling a variety of semantic roles. The identification of anaphoric usages of “then“is important for temporal expression resolution, while thetemporal relationship usage is important for event ordering. Given that previous work has not tackled the identification and temporal resolution of anaphoric “then”, this paper presents a machine learning approach for setting apart anaphoric usages and a rule-based normaliser that resolves it with respect to an antecedent. The performance of the two modules is evaluated. The present paper also describes the construction of an annotated corpus and the subsequent derivation of training data required by the machine learning module.</abstract>
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%0 Conference Proceedings
%T If “it” were “then”, then when was “it”? Establishing the anaphoric role of “then”
%A Puşcaşu, Georgiana
%A Mitkov, Ruslan
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Gangemi, Aldo
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Tapias, Daniel
%S Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
%D 2006
%8 May
%I European Language Resources Association (ELRA)
%C Genoa, Italy
%F puscasu-mitkov-2006-establishing
%X The adverb “then” is among the most frequent Englishtemporal adverbs, being also capable of filling a variety of semantic roles. The identification of anaphoric usages of “then“is important for temporal expression resolution, while thetemporal relationship usage is important for event ordering. Given that previous work has not tackled the identification and temporal resolution of anaphoric “then”, this paper presents a machine learning approach for setting apart anaphoric usages and a rule-based normaliser that resolves it with respect to an antecedent. The performance of the two modules is evaluated. The present paper also describes the construction of an annotated corpus and the subsequent derivation of training data required by the machine learning module.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/680_pdf.pdf
Markdown (Informal)
[If “it” were “then”, then when was “it”? Establishing the anaphoric role of “then”](http://www.lrec-conf.org/proceedings/lrec2006/pdf/680_pdf.pdf) (Puşcaşu & Mitkov, LREC 2006)
ACL