Abstract
This paper investigates the problem of entity resolution for email conversations and presents a seed annotated corpus of email threads labeled with entity coreference chains. Characteristics of email threads concerning reference resolution are first discussed, and then the creation of the corpus and annotation steps are explained. Finally, performance of the current state-of-the-art deep learning models on the seed corpus is evaluated and qualitative error analysis on the predictions obtained is presented.- Anthology ID:
- 2020.lrec-1.8
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 65–73
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.8
- DOI:
- Bibkey:
- Cite (ACL):
- Parag Pravin Dakle, Takshak Desai, and Dan Moldovan. 2020. A Study on Entity Resolution for Email Conversations. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 65–73, Marseille, France. European Language Resources Association.
- Cite (Informal):
- A Study on Entity Resolution for Email Conversations (Dakle et al., LREC 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.lrec-1.8.pdf
Export citation
@inproceedings{dakle-etal-2020-study,
title = "A Study on Entity Resolution for Email Conversations",
author = "Dakle, Parag Pravin and
Desai, Takshak and
Moldovan, Dan",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.8",
pages = "65--73",
abstract = "This paper investigates the problem of entity resolution for email conversations and presents a seed annotated corpus of email threads labeled with entity coreference chains. Characteristics of email threads concerning reference resolution are first discussed, and then the creation of the corpus and annotation steps are explained. Finally, performance of the current state-of-the-art deep learning models on the seed corpus is evaluated and qualitative error analysis on the predictions obtained is presented.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>This paper investigates the problem of entity resolution for email conversations and presents a seed annotated corpus of email threads labeled with entity coreference chains. Characteristics of email threads concerning reference resolution are first discussed, and then the creation of the corpus and annotation steps are explained. Finally, performance of the current state-of-the-art deep learning models on the seed corpus is evaluated and qualitative error analysis on the predictions obtained is presented.</abstract>
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%0 Conference Proceedings %T A Study on Entity Resolution for Email Conversations %A Dakle, Parag Pravin %A Desai, Takshak %A Moldovan, Dan %Y Calzolari, Nicoletta %Y Béchet, Frédéric %Y Blache, Philippe %Y Choukri, Khalid %Y Cieri, Christopher %Y Declerck, Thierry %Y Goggi, Sara %Y Isahara, Hitoshi %Y Maegaard, Bente %Y Mariani, Joseph %Y Mazo, Hélène %Y Moreno, Asuncion %Y Odijk, Jan %Y Piperidis, Stelios %S Proceedings of the Twelfth Language Resources and Evaluation Conference %D 2020 %8 May %I European Language Resources Association %C Marseille, France %@ 979-10-95546-34-4 %G English %F dakle-etal-2020-study %X This paper investigates the problem of entity resolution for email conversations and presents a seed annotated corpus of email threads labeled with entity coreference chains. Characteristics of email threads concerning reference resolution are first discussed, and then the creation of the corpus and annotation steps are explained. Finally, performance of the current state-of-the-art deep learning models on the seed corpus is evaluated and qualitative error analysis on the predictions obtained is presented. %U https://aclanthology.org/2020.lrec-1.8 %P 65-73
Markdown (Informal)
[A Study on Entity Resolution for Email Conversations](https://aclanthology.org/2020.lrec-1.8) (Dakle et al., LREC 2020)
- A Study on Entity Resolution for Email Conversations (Dakle et al., LREC 2020)
ACL
- Parag Pravin Dakle, Takshak Desai, and Dan Moldovan. 2020. A Study on Entity Resolution for Email Conversations. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 65–73, Marseille, France. European Language Resources Association.