Overview of the First Shared Task on Automatic Minuting (AutoMin) at Interspeech 2021

Ghosal, Tirthankar; Bojar, Ondřej; Singh, Muskaan; Nedoluzhko, Anja

doi:10.21437/automin.2021-1

Cited by 2 publications

(1 citation statement)

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“…Table 2 compares our results on the test set with the two of the best performing system submissions in the AutoMin Shared Task (Ghosal et al, 2021). As depicted our system outperforms the Yamaguchi et al ( 2021) & Mahajan et al (2021).…”

Section: Automatic Minutingmentioning

confidence: 82%

DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues

Bhatnagar,

Bhavsar,

Singh

2022

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue

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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.

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Section: Automatic Minutingmentioning

confidence: 82%

DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues

Bhatnagar,

Bhavsar,

Singh

2022

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue

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Report on the SIGDial 2021 special session on summarization of dialogues and multi-party meetings (SummDial)

et al. 2021

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The SummDial special session on summarization of dialogues and multi-party meetings was held virtually within the SIGDial 2021 conference on July 29, 2021. SummDial @ SIGDial 2021 aimed to bring together the speech, dialogue, and summarization communities to foster cross-pollination of ideas and fuel the discussions/collaborations to attempt this crucial and timely problem. When the pandemic has restricted most of our in-person interactions, the current scenario has forced people to go virtual, resulting in an information overload from frequent dialogues and meetings in the virtual environment. Summarization could help reduce the cognitive burden on the participants; however, multi-party speech summarization comes with its own set of challenges. The SummDial special session aimed to leverage the community intelligence to find effective solutions while also brainstorming the future of AI interventions in meetings and dialogues. We report the findings of the special session in this article. We organized the SummDial special session under the aegis of the EU-funded H2020 European Live Translator (ELITR) project. 1 Date : 29 July, 2021. Website : https://elitr.github.io/automatic-minuting/summdial.html.

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Overview of the First Shared Task on Automatic Minuting (AutoMin) at Interspeech 2021

Cited by 2 publications

References 0 publications

DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues

DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues

Report on the SIGDial 2021 special session on summarization of dialogues and multi-party meetings (SummDial)

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