Abstract
In this paper, we present our minuting tool DeepCon, an end-to-end toolkit for minuting the multiparty dialogues of meetings. It provides technological support for (multilingual) communication and collaboration, with a specific focus on Natural Language Processing (NLP) technologies: Automatic Speech Recognition (ASR), Machine Translation (MT), Automatic Minuting (AM), Topic Modelling (TM) and Named Entity Recognition (NER). To the best of our knowledge, there is no such tool available. Further, this tool follows a microservice architecture, and we release the tool as open-source, deployed on Amazon Web Services (AWS). We release our tool open-source here http://www.deepcon.in.- Anthology ID:
- 2022.sigdial-1.38
- Volume:
- Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Month:
- September
- Year:
- 2022
- Address:
- Edinburgh, UK
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 396–402
- Language:
- URL:
- https://aclanthology.org/2022.sigdial-1.38
- DOI:
- Cite (ACL):
- Aakash Bhatnagar, Nidhir Bhavsar, and Muskaan Singh. 2022. DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 396–402, Edinburgh, UK. Association for Computational Linguistics.
- Cite (Informal):
- DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues (Bhatnagar et al., SIGDIAL 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.sigdial-1.38.pdf
- Data
- MuST-C, SAMSum Corpus