An Annotated Corpus of Direct Speech

John Lee; Chak Yan Yeung

An Annotated Corpus of Direct Speech

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

8 Citations (Scopus)

Abstract

We propose a scheme for annotating direct speech in literary texts, based on the Text Encoding Initiative (TEI) and the coreference annotation guidelines from the Message Understanding Conference (MUC). The scheme encodes the speakers and listeners of utterances in a text, as well as the quotative verbs that reports the utterances. We measure inter-annotator agreement on this annotation task. We then present statistics on a manually annotated corpus that consists of books from the New Testament. Finally, we visualize the corpus as a conversational network.

Original language	English
Title of host publication	Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)
Editors	Nicoletta Calzolari
Place of Publication	Paris
Publisher	European Language Resources Association (ELRA)
Pages	1059-1063
ISBN (Print)	9782951740891
Publication status	Published - May 2016
Event	10th International Conference on Language Resources and Evaluation (LREC 2016) - Portorož, Slovenia Duration: 23 May 2016 → 28 May 2016 http://lrec2016.lrec-conf.org/en/ https://aclanthology.org/volumes/L16-1/

Conference

Conference	10th International Conference on Language Resources and Evaluation (LREC 2016)
Place	Slovenia
City	Portorož
Period	23/05/16 → 28/05/16
Internet address	http://lrec2016.lrec-conf.org/en/ https://aclanthology.org/volumes/L16-1/

Research Keywords

Coreference
Corpus annotation
Direct speech

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@inproceedings{b8ccfa8db17e4abda3a1b52445125a17,

title = "An Annotated Corpus of Direct Speech",

abstract = "We propose a scheme for annotating direct speech in literary texts, based on the Text Encoding Initiative (TEI) and the coreference annotation guidelines from the Message Understanding Conference (MUC). The scheme encodes the speakers and listeners of utterances in a text, as well as the quotative verbs that reports the utterances. We measure inter-annotator agreement on this annotation task. We then present statistics on a manually annotated corpus that consists of books from the New Testament. Finally, we visualize the corpus as a conversational network.",

keywords = "Coreference, Corpus annotation, Direct speech",

author = "John Lee and Yeung, \{Chak Yan\}",

year = "2016",

month = may,

language = "English",

isbn = "9782951740891",

pages = "1059--1063",

editor = "Nicoletta Calzolari",

booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)",

publisher = "European Language Resources Association (ELRA)",

note = " 10th International Conference on Language Resources and Evaluation (LREC 2016) ; Conference date: 23-05-2016 Through 28-05-2016",

url = "http://lrec2016.lrec-conf.org/en/, https://aclanthology.org/volumes/L16-1/",

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An Annotated Corpus of Direct Speech. / Lee, John ; Yeung, Chak Yan.
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). ed. / Nicoletta Calzolari. Paris: European Language Resources Association (ELRA), 2016. p. 1059-1063.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

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AU - Lee, John

AU - Yeung, Chak Yan

PY - 2016/5

Y1 - 2016/5

N2 - We propose a scheme for annotating direct speech in literary texts, based on the Text Encoding Initiative (TEI) and the coreference annotation guidelines from the Message Understanding Conference (MUC). The scheme encodes the speakers and listeners of utterances in a text, as well as the quotative verbs that reports the utterances. We measure inter-annotator agreement on this annotation task. We then present statistics on a manually annotated corpus that consists of books from the New Testament. Finally, we visualize the corpus as a conversational network.

AB - We propose a scheme for annotating direct speech in literary texts, based on the Text Encoding Initiative (TEI) and the coreference annotation guidelines from the Message Understanding Conference (MUC). The scheme encodes the speakers and listeners of utterances in a text, as well as the quotative verbs that reports the utterances. We measure inter-annotator agreement on this annotation task. We then present statistics on a manually annotated corpus that consists of books from the New Testament. Finally, we visualize the corpus as a conversational network.

KW - Coreference

KW - Corpus annotation

KW - Direct speech

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M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9782951740891

SP - 1059

EP - 1063

BT - Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)

A2 - Calzolari, Nicoletta

PB - European Language Resources Association (ELRA)

CY - Paris

T2 - 10th International Conference on Language Resources and Evaluation (LREC 2016)

Y2 - 23 May 2016 through 28 May 2016

ER -

An Annotated Corpus of Direct Speech

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