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2020 – today
- 2024
[c38]Avinash Anand, Ashwin R. Nair, Kritarth Prasad, Vrinda Narayan, Naman Lal, Debanjan Mahata, Yaman Singla, Rajiv Ratn Shah:
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
, Anish Acharya, Rajiv Ratn Shah:
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, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle G. Lee, Anish Acharya, Rajiv Ratn Shah:
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, Rajiv Ratn Shah, Roger Zimmermann:
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, Rajiv Ratn Shah, Roger Zimmermann:
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, Dhruva Sahrawat, Mansi Aggarwal, Rajiv Ratn Shah, Debanjan Mahata, Amanda Stent:
Hush-Hush Speak: Speech Reconstruction Using Silent Videos. INTERSPEECH 2019: 136-140 - [c19]Nilay Shrivastava, Astitwa Saxena, Yaman Kumar, Rajiv Ratn Shah, Amanda Stent, Debanjan Mahata, Preeti Kaur, Roger Zimmermann:
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, Rajiv Ratn Shah:
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, Amanda Stent, Agniv Sharma, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann:
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings. CoRR abs/1910.08840 (2019) - [i7]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. 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, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez:
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, Rajiv Ratn Shah, Roger Zimmermann:
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, Debanjan Mahata, Rakesh Adhikari:
Mining the Blogosphere from a socio-political perspective. CISIM 2010: 365-370
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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