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    <abstract>We present the first large scale corpus for entity resolution in email conversations (CEREC). The corpus consists of 6001 email threads from the Enron Email Corpus containing 36,448 email messages and 38,996 entity coreference chains. The annotation is carried out as a two-step process with minimal manual effort. Experiments are carried out for evaluating different features and performance of four baselines on the created corpus. For the task of mention identification and coreference resolution, a best performance of 54.1 F1 is reported, highlighting the room for improvement. An in-depth qualitative and quantitative error analysis is presented to understand the limitations of the baselines considered.</abstract>
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%0 Conference Proceedings
%T CEREC: A Corpus for Entity Resolution in Email Conversations
%A Dakle, Parag Pravin
%A Moldovan, Dan
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F dakle-moldovan-2020-cerec
%X We present the first large scale corpus for entity resolution in email conversations (CEREC). The corpus consists of 6001 email threads from the Enron Email Corpus containing 36,448 email messages and 38,996 entity coreference chains. The annotation is carried out as a two-step process with minimal manual effort. Experiments are carried out for evaluating different features and performance of four baselines on the created corpus. For the task of mention identification and coreference resolution, a best performance of 54.1 F1 is reported, highlighting the room for improvement. An in-depth qualitative and quantitative error analysis is presented to understand the limitations of the baselines considered.
%R 10.18653/v1/2020.coling-main.30
%U https://aclanthology.org/2020.coling-main.30
%U https://doi.org/10.18653/v1/2020.coling-main.30
%P 339-349

Markdown (Informal)

[CEREC: A Corpus for Entity Resolution in Email Conversations](https://aclanthology.org/2020.coling-main.30) (Dakle & Moldovan, COLING 2020)

• CEREC: A Corpus for Entity Resolution in Email Conversations (Dakle & Moldovan, COLING 2020)

ACL

• Parag Pravin Dakle and Dan Moldovan. 2020. CEREC: A Corpus for Entity Resolution in Email Conversations. In Proceedings of the 28th International Conference on Computational Linguistics, pages 339–349, Barcelona, Spain (Online). International Committee on Computational Linguistics.