Papers by Parag Pravin Dakle

3 papers
CEREC: A Corpus for Entity Resolution in Email Conversations (2020.coling-main)

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Challenge: e-mail corpus for entity resolution in email conversations is first large scale annotated corpus . ecc is a two-step process with minimal manual effort.
Approach: They present the first large scale corpus for entity resolution in email conversations . they use 6001 email threads and 38,996 entity coreference chains to construct the corpus .
Outcome: The proposed corpus is the first large scale annotated corpus for entity resolution in email conversations.
Joint Learning of Syntactic Features Helps Discourse Segmentation (2020.lrec-1)

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Challenge: Discourse segmentation is a task of fragmenting text into minimal disjoint chunks of text called Elementary Discourse Units (EDUs).
Approach: They propose a framework for multi-lingual discourse segmentation with BERT . they cast the problem as a token classification problem and jointly learn syntactic features like part-of-speech tags and dependency relations.
Outcome: Experiments in English, Dutch, German, Portuguese Brazilian and Basque show that the proposed model performs better across languages.
A Study on Entity Resolution for Email Conversations (2020.lrec-1)

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Challenge: This paper addresses the task of entity resolution in email conversations.
Approach: They propose to create an annotated seed corpus of email threads labeled with entity coreference chains and evaluate their models for the task.
Outcome: The proposed model performs well on the entity resolution task for email conversations.

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