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Debanjan Mahata
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2020 – today
- 2024
- [c38]Avinash Anand
, Ashwin R. Nair
Advances in Citation Text Generation: Leveraging Multi-Source Seq2Seq Models and Large Language Models. CIKM 2024: 56-64 - 2023
- [i24]Roberto Martínez-Cruz, Debanjan Mahata, Alvaro J. López-López, José Portela:
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings. CoRR abs/2305.09316 (2023) - 2022
- [c37]Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah:
LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents. DL4SR@CIKM 2022 - [c36]Rui Meng, Debanjan Mahata, Florian Boudin:
From Fundamentals to Recent Advances: A Tutorial on Keyphrasification. ECIR (2) 2022: 582-588 - [c35]Mayank Kulkarni, Debanjan Mahata, Ravneet Arora, Rajarshi Bhowmik:
Learning Rich Representation of Keyphrases from Text. NAACL-HLT (Findings) 2022: 891-906 - [i23]Jishnu Ray Chowdhury, Debanjan Mahata, Cornelia Caragea:
On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation. CoRR abs/2203.04464 (2022) - [i22]Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla
LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents. CoRR abs/2203.15349 (2022) - 2021
- [c34]Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi
GupShup: Summarizing Open-Domain Code-Switched Conversations. EMNLP (1) 2021: 6177-6192 - [c33]Rakesh Gosangi, Ravneet Arora, Mohsen Gheisarieha, Debanjan Mahata, Haimin Zhang:
On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles. NAACL-HLT 2021: 4539-4545 - [i21]Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle G. Lee, Anish Acharya, Rajiv Ratn Shah:
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations. CoRR abs/2104.08578 (2021) - [i20]Rakesh Gosangi, Ravneet Arora, Mohsen Gheisarieha, Debanjan Mahata, Haimin Zhang:
On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles. CoRR abs/2104.08962 (2021) - [i19]Mayank Kulkarni, Debanjan Mahata, Ravneet Arora, Rajarshi Bhowmik:
Learning Rich Representation of Keyphrases from Text. CoRR abs/2112.08547 (2021) - 2020
- [c32]Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari, Debanjan Mahata, Amanda Stent, Yifang Yin
Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition. AAAI 2020: 2645-2652 - [c31]Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract). AAAI 2020: 13749-13750 - [c30]Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah:
Keyphrase Generation for Scientific Articles Using GANs (Student Abstract). AAAI 2020: 13931-13932 - [c29]Dhruva Sahrawat, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Agniv Sharma, Rakesh Gosangi, Amanda Stent, Yaman Kumar
Keyphrase Extraction as Sequence Labeling Using Contextualized Embeddings. ECIR (2) 2020: 328-335 - [c28]Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent:
A Preliminary Exploration of GANs for Keyphrase Generation. EMNLP (1) 2020: 8021-8030 - [c27]Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah:
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. ICWSM 2020: 209-216 - [c26]Shagun Uppal, Vivek Gupta, Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent:
Two-Step Classification using Recasted Data for Low Resource Settings. AACL/IJCNLP 2020: 706-719 - [c25]Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah, Amanda Stent:
An Annotated Dataset of Discourse Modes in Hindi Stories. LREC 2020: 1191-1196 - [c24]Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings. SemEval@COLING 2020: 1678-1684 - [i18]Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms. CoRR abs/2001.09215 (2020) - [i17]Hitkul, Karmanya Aggarwal, Pakhi Bamdev, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Trawling for Trolling: A Dataset. CoRR abs/2008.00525 (2020) - [i16]Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection using Label Distribution Learning and Contextual Embeddings. CoRR abs/2009.02619 (2020) - [i15]Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Get It Scored Using AutoSAS - An Automated System for Scoring Short Answers. CoRR abs/2012.11243 (2020)
2010 – 2019
- 2019
- [c23]Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Get IT Scored Using AutoSAS - An Automated System for Scoring Short Answers. AAAI 2019: 9662-9669 - [c22]Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata:
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media. ACL (1) 2019: 2527-2537 - [c21]Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu:
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter. CIKM 2019: 941-950 - [c20]Shashwat Uttam, Yaman Kumar
Hush-Hush Speak: Speech Reconstruction Using Silent Videos. INTERSPEECH 2019: 136-140 - [c19]Nilay Shrivastava, Astitwa Saxena, Yaman Kumar
MobiVSR : Efficient and Light-Weight Neural Network for Visual Speech Recognition on Mobile Devices. INTERSPEECH 2019: 2753-2757 - [c18]Arijit Ghosh Chowdhury, Ramit Sawhney, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah:
Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment. NAACL-HLT (Student Research Workshop) 2019: 136-146 - [c17]Rohan Mishra, Pradyumna Prakhar Sinha, Ramit Sawhney, Debanjan Mahata, Puneet Mathur, Rajiv Ratn Shah:
SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media. NAACL-HLT (Student Research Workshop) 2019: 147-156 - [c16]Debanjan Mahata, Haimin Zhang, Karan Uppal, Yaman Kumar, Rajiv Ratn Shah, Simra Shahid, Laiba Mehnaz, Sarthak Anand:
MIDAS at SemEval-2019 Task 6: Identifying Offensive Posts and Targeted Offense from Twitter. SemEval@NAACL-HLT 2019: 683-690 - [c15]Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal:
MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit. SemEval@NAACL-HLT 2019: 1213-1217 - [c14]Debanjan Mahata, Sarthak Anand, Haimin Zhang, Simra Shahid, Laiba Mehnaz, Yaman Kumar, Rajiv Ratn Shah:
MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter. SMM4H@ACL 2019: 127-132 - [i14]Yaman Kumar, Shubham Maheshwari, Dhruva Sahrawat, Praveen Jhanwar, Vipin Chaudhary, Rajiv Ratn Shah, Debanjan Mahata:
Harnessing GANs for Addition of New Classes in VSR. CoRR abs/1901.10139 (2019) - [i13]Haimin Zhang, Debanjan Mahata, Simra Shahid, Laiba Mehnaz, Sarthak Anand, Yaman Singla, Rajiv Ratn Shah, Karan Uppal:
Identifying Offensive Posts and Targeted Offense from Twitter. CoRR abs/1904.09072 (2019) - [i12]Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal:
Suggestion Mining from Online Reviews using ULMFiT. CoRR abs/1904.09076 (2019) - [i11]Nilay Shrivastava, Astitwa Saxena, Yaman Kumar, Preeti Kaur, Rajiv Ratn Shah, Debanjan Mahata:
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices. CoRR abs/1905.03968 (2019) - [i10]Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi
Keyphrase Generation for Scientific Articles using GANs. CoRR abs/1909.12229 (2019) - [i9]Yaman Kumar, Debanjan Mahata, Sagar Aggarwal, Anmol Chugh, Rajat Maheshwari, Rajiv Ratn Shah:
BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories. CoRR abs/1910.04073 (2019) - [i8]Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni, Haimin Zhang, Rakesh Gosangi
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings. CoRR abs/1910.08840 (2019) - [i7]Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. CoRR abs/1912.06927 (2019) - 2018
- [j2]Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah, Jing Jiang:
Detecting Personal Intake of Medicine from Twitter. IEEE Intell. Syst. 33(4): 87-95 (2018) - [j1]Abeed Sarker
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. 25(10): 1274-1283 (2018) - [c13]Puneet Mathur, Rajiv Ratn Shah, Ramit Sawhney, Debanjan Mahata:
Detecting Offensive Tweets in Hindi-English Code-Switched Language. SocialNLP@ACL 2018: 18-26 - [c12]Debanjan Mahata, Rajiv Ratn Shah, John Kuriakose, Roger Zimmermann, John R. Talburt:
Theme-Weighted Ranking of Keywords from Text Documents Using Phrase Embeddings. MIPR 2018: 184-189 - [c11]Mayank Meghawat, Satyendra Yadav, Debanjan Mahata, Yifang Yin
A Multimodal Approach to Predict Social Media Popularity. MIPR 2018: 190-195 - [c10]Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah, Roger Zimmermann:
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings. NAACL-HLT (2) 2018: 634-639 - [i6]Jasper Friedrichs, Debanjan Mahata, Shubham Gupta:
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter. CoRR abs/1803.07718 (2018) - [i5]Debanjan Mahata, Jasper Friedrichs, Hitkul, Rajiv Ratn Shah:
#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter. CoRR abs/1805.06375 (2018) - [i4]Mayank Meghawat, Satyendra Yadav, Debanjan Mahata, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
A Multimodal Approach to Predict Social Media Popularity. CoRR abs/1807.05959 (2018) - [i3]Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah, Roger Zimmermann, John R. Talburt:
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings. CoRR abs/1807.05962 (2018) - [i2]Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah, Jing Jiang:
Did you take the pill? - Detecting Personal Intake of Medicine from Twitter. CoRR abs/1808.02082 (2018) - [i1]Nupur Baghel, Yaman Kumar, Paavini Nanda, Rajiv Ratn Shah, Debanjan Mahata, Roger Zimmermann:
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media. CoRR abs/1812.00399 (2018) - 2017
- [c9]Jasper Friedrichs, Debanjan Mahata, Shubham Gupta:
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter. SMM4H@AMIA 2017: 68-71 - 2015
- [c8]Debanjan Mahata, John R. Talburt:
A Framework for Collecting, Extracting and Managing Event Identity Information from Twitter. ICIQ 2015 - [c7]Debanjan Mahata, John R. Talburt, Vivek Kumar Singh
Identification and Ranking of Event-Specific Entity-Centric Informative Content from Twitter. NLDB 2015: 275-281 - [c6]Debanjan Mahata, John R. Talburt, Vivek Kumar Singh
From Chirps to Whistles: Discovering Event-specific Informative Content from Twitter. WebSci 2015: 17:1-17:10 - 2014
- [c5]Debanjan Mahata, John R. Talburt:
A Framework for Collecting and Managing Entity Identity Information from Social Media. ICIQ 2014 - [p1]Debanjan Mahata, Nitin Agarwal:
Identifying Event-Specific Sources from Social Media. Online Social Media Analysis and Visualization 2014: 1-25 - [r1]Nitin Agarwal, Debanjan Mahata, Huan Liu:
Time- and Event-Driven Modeling of Blogger Influence. Encyclopedia of Social Network Analysis and Mining 2014: 2154-2165 - 2013
- [c4]Debanjan Mahata, Nitin Agarwal:
Learning from the crowd: an evolutionary mutual reinforcement model for analyzing events. ASONAM 2013: 474-478 - 2012
- [c3]Debanjan Mahata, Nitin Agarwal:
What does everybody know? Identifying event-specific sources from social media. CASoN 2012: 63-68 - [c2]Fatih Sen, Rolf T. Wigand, Nitin Agarwal, Debanjan Mahata, Halil Bisgin:
Identifying focal patterns in social networks. CASoN 2012: 105-108 - 2010
- [c1]Vivek Kumar Singh
Mining the Blogosphere from a socio-political perspective. CISIM 2010: 365-370
Coauthor Index
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last updated on 2024-12-02 22:32 CET by the dblp team
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