Towards a Toolbox For Mining QA-pairs and QAT-triplets From Conversational Data of Public Chats

Towards a Toolbox For Mining QA-pairs and QAT-triplets From Conversational Data of Public Chats

Communities of various specialists are using public groups on platforms like Telegram or Slack to discuss specific domain-oriented topics, for instance, Python programming language, Clickhouse database management system or even film making peculiarities. Conversations in such chats often have a form...

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Bibliographic Details
Main Authors: Nikolay Butakov, Alexander Egorov, Dmitriy Alexandrov
Format: Article
Language:English
Published: FRUCT 2021-05-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
dialogues
conversational data
data mining
question answering
nlp
Online Access:https://www.fruct.org/publications/fruct29/files/Ego.pdf

Internet

https://www.fruct.org/publications/fruct29/files/Ego.pdf

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