CEREC: A Corpus for Entity Resolution in Email Conversations [article]

Parag Pravin Dakle, Dan I. Moldovan
2021 arXiv   pre-print
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 60,383 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
more » ... a best performance of 60.08 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.
arXiv:2105.10606v1 fatcat:3aqpomyy4fcaffvaolcmyy7pky