Debanjan Mahata

According to our database1, Debanjan Mahata authored at least 49 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations.
CoRR, 2021

On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Trawling for Trolling: A Dataset.
CoRR, 2020

An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms.
CoRR, 2020

MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

An Annotated Dataset of Discourse Modes in Hindi Stories.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Two-Step Classification using Recasted Data for Low Resource Settings.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

A Preliminary Exploration of GANs for Keyphrase Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Keyphrase Extraction as Sequence Labeling Using Contextualized Embeddings.
Proceedings of the Advances in Information Retrieval, 2020

Keyphrase Generation for Scientific Articles Using GANs (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings.
CoRR, 2019

BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories.
CoRR, 2019

Keyphrase Generation for Scientific Articles using GANs.
CoRR, 2019

MobiVSR: A Visual Speech Recognition Solution for Mobile Devices.
CoRR, 2019

Suggestion Mining from Online Reviews using ULMFiT.
CoRR, 2019

Identifying Offensive Posts and Targeted Offense from Twitter.
CoRR, 2019

Harnessing GANs for Addition of New Classes in VSR.
CoRR, 2019

MIDAS at SemEval-2019 Task 6: Identifying Offensive Posts and Targeted Offense from Twitter.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Hush-Hush Speak: Speech Reconstruction Using Silent Videos.
Proceedings of the Interspeech 2019, 2019

MobiVSR : Efficient and Light-Weight Neural Network for Visual Speech Recognition on Mobile Devices.
Proceedings of the Interspeech 2019, 2019

#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Get IT Scored Using AutoSAS - An Automated System for Scoring Short Answers.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.
J. Am. Medical Informatics Assoc., 2018

Detecting Personal Intake of Medicine from Twitter.
IEEE Intell. Syst., 2018

Kiki Kills: Identifying Dangerous Challenge Videos from Social Media.
CoRR, 2018

Did you take the pill? - Detecting Personal Intake of Medicine from Twitter.
CoRR, 2018

#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter.
CoRR, 2018

Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

A Multimodal Approach to Predict Social Media Popularity.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Theme-Weighted Ranking of Keywords from Text Documents Using Phrase Embeddings.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Detecting Offensive Tweets in Hindi-English Code-Switched Language.
Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, 2018

2017
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter.
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017

2015
From Chirps to Whistles: Discovering Event-specific Informative Content from Twitter.
Proceedings of the ACM Web Science Conference, 2015

Identification and Ranking of Event-Specific Entity-Centric Informative Content from Twitter.
Proceedings of the Natural Language Processing and Information Systems, 2015

A Framework for Collecting, Extracting and Managing Event Identity Information from Twitter.
Proceedings of the 20th International Conference on Information Quality, 2015

2014
Identifying Event-Specific Sources from Social Media.
Proceedings of the Online Social Media Analysis and Visualization, 2014

Time- and Event-Driven Modeling of Blogger Influence.
Encyclopedia of Social Network Analysis and Mining, 2014

A Framework for Collecting and Managing Entity Identity Information from Social Media.
Proceedings of the 19th International Conference on Information Quality, 2014

2013
Learning from the crowd: an evolutionary mutual reinforcement model for analyzing events.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Identifying focal patterns in social networks.
Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

What does everybody know? Identifying event-specific sources from social media.
Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

2010
Mining the Blogosphere from a socio-political perspective.
Proceedings of the 2010 International Conference on Computer Information Systems and Industrial Management Applications, 2010


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