Search Results for author:
Found 7 papers, 2 papers with code
Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article Similarity
This work represents the system proposed by team Innovators for SemEval 2022 Task 8: Multilingual News Article Similarity.
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues
In this paper, we present our minuting tool DeepCon, an end-to-end toolkit for minuting the multiparty dialogues of meetings.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Hierarchical Multi-task learning framework for Isometric-Speech Language Translation
In this paper, we propose a hierarchical approach to generate isometric translation on MUST-C dataset, we achieve a BERTscore of 0. 85, a length ratio of 1. 087, a BLEU score of 42. 3, and a length range of 51. 03%.
Innovators @ SMM4H’22: An Ensembles Approach for self-reporting of COVID-19 Vaccination Status Tweets
With the Surge in COVID-19, the number of social media postings related to the vaccine has grown, specifically tracing the confirmed reports by the users regarding the COVID-19 vaccine dose termed “Vaccine Surveillance.” To mitigate this research problem, we present our novel ensembled approach for self-reporting COVID-19 vaccination status tweets into two labels, namely “Vaccine Chatter” and “Self Report.” We utilize state-of-the-art models, namely BERT, RoBERTa, and XLNet.
Innovators@SMM4H’22: An Ensembles Approach for Stance and Premise Classification of COVID-19 Health Mandates Tweets
This paper presents our submission for the Shared Task-2 of classification of stance and premise in tweets about health mandates related to COVID-19 at the Social Media Mining for Health 2022.
Automatic Summarization for Creative Writing: BART based Pipeline Method for Generating Summary of Movie Scripts
This paper documents our approach for the Creative-Summ 2022 shared task for Automatic Summarization of Creative Writing.
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
To close the gap, we organized the BioCreative LitCovid track to call for a community effort to tackle automated topic annotation for COVID-19 literature.
