@inproceedings{bhatnagar-etal-2022-deepcon,
title = "{D}eep{C}on: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues",
author = "Bhatnagar, Aakash and
Bhavsar, Nidhir and
Singh, Muskaan",
editor = "Lemon, Oliver and
Hakkani-Tur, Dilek and
Li, Junyi Jessy and
Ashrafzadeh, Arash and
Garcia, Daniel Hern{\'a}ndez and
Alikhani, Malihe and
Vandyke, David and
Du{\v{s}}ek, Ond{\v{r}}ej",
booktitle = "Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue",
month = sep,
year = "2022",
address = "Edinburgh, UK",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sigdial-1.38/",
doi = "10.18653/v1/2022.sigdial-1.38",
pages = "396--402",
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 \url{http://www.deepcon.in}."
}
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%0 Conference Proceedings
%T DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues
%A Bhatnagar, Aakash
%A Bhavsar, Nidhir
%A Singh, Muskaan
%Y Lemon, Oliver
%Y Hakkani-Tur, Dilek
%Y Li, Junyi Jessy
%Y Ashrafzadeh, Arash
%Y Garcia, Daniel Hernández
%Y Alikhani, Malihe
%Y Vandyke, David
%Y Dušek, Ondřej
%S Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2022
%8 September
%I Association for Computational Linguistics
%C Edinburgh, UK
%F bhatnagar-etal-2022-deepcon
%X 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.
%R 10.18653/v1/2022.sigdial-1.38
%U https://aclanthology.org/2022.sigdial-1.38/
%U https://doi.org/10.18653/v1/2022.sigdial-1.38
%P 396-402
Markdown (Informal)
[DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues](https://aclanthology.org/2022.sigdial-1.38/) (Bhatnagar et al., SIGDIAL 2022)
ACL