Debanjan Ghosh

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Smaranda MuresanColumbia UnviersityVerified email at ccls.columbia.edu
Tuhin ChakrabartyStony Brook University , Department of Computer ScienceVerified email at columbia.edu
Nina WacholderLibrary and Information Science, School of Communication and Information, Rutgers UniversityVerified email at rutgers.edu
Elena MusiAssociate Professor (Reader), University of LiverpoolVerified email at liverpool.ac.uk
Alexander R. FabbriScale AIVerified email at scale.com
Mark AakhusProfessor & Associate Dean for Research, School of Communication and Information, Rutgers UniversityVerified email at comminfo.rutgers.edu
Shambhu UpadhyayaProfessor of Computer Science and Engineering, University at BuffaloVerified email at buffalo.edu
H.R. RaoDepartment of Information Systems and Cyber Security, University of Texas at San AntonioVerified email at buffalo.edu
Arkadiy SaakyanColumbia UniversityVerified email at cs.columbia.edu
Weiwei GuoLinkedInVerified email at linkedin.com
Matthew MitsuiPostdoctoral Associate, Rutgers UniversityVerified email at scarletmail.rutgers.edu
Beata Beigman KlebanovEducational Testing ServiceVerified email at ets.org
Aquila KhanamColumbia UniversityVerified email at columbia.edu
Nanyun (Violet) PengAssociate Professor, UCLAVerified email at cs.ucla.edu
Rohini SrihariProfessor, Department of Computer Science and Engineering, University at Buffalo, The StateVerified email at buffalo.edu
Roberto González-IbáñezAssociate Professor, Departamento de Ingeniería Informática, Universidad de Santiago de ChileVerified email at usach.cl
Avijit VajpayeeApplied Scientist II, Amazon Prime VideoVerified email at amazon.com
Kevin GimpelQuillBotVerified email at ttic.edu
Lingyu GaoDuolingoVerified email at duolingo.com
Adam PoliakBryn Mawr CollegeVerified email at brynmawr.edu

Debanjan Ghosh

NLP Research, Educational Testing Service

Verified email at ets.org - Homepage

Computational Linguistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Self-healing systems—survey and synthesis D Ghosh, R Sharman, HR Rao, S Upadhyaya Decision support systems 42 (4), 2164-2185, 2007	490	2007
Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words D Ghosh, W Guo, S Muresan Empirical Methods in Natural Language Processing, 1003-1012, 2015	144	2015
Analyzing argumentative discourse units in online interactions D Ghosh, S Muresan, N Wacholder, M Aakhus, M Mitsui Proceedings of the first workshop on argumentation mining, 39-48, 2014	127	2014
Sarcasm analysis using conversation context D Ghosh, AR Fabbri, S Muresan Computational Linguistics 44 (4), 755-792, 2018	106	2018
The role of conversation context for sarcasm detection in online interactions D Ghosh, AR Fabbri, S Muresan arXiv preprint arXiv:1707.06226, 2017	95	2017
Coarse-grained argumentation features for scoring persuasive essays D Ghosh, A Khanam, Y Han, S Muresan Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	89	2016
: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge T Chakrabarty, D Ghosh, S Muresan, N Peng arXiv preprint arXiv:2004.13248, 2020	81	2020
Identification of nonliteral language in social media: A case study on sarcasm S Muresan, R Gonzalez‐Ibanez, D Ghosh, N Wacholder Journal of the Association for Information Science and Technology 67 (11 …, 2016	75	2016
A report on the 2020 sarcasm detection shared task D Ghosh, A Vajpayee, S Muresan arXiv preprint arXiv:2005.05814, 2020	67	2020
FLUTE: Figurative language understanding through textual explanations T Chakrabarty, A Saakyan, D Ghosh, S Muresan arXiv preprint arXiv:2205.12404, 2022	64	2022
Towards feasible guidelines for the annotation of argument schemes E Musi, D Ghosh, S Muresan Proceedings of the third workshop on argument mining (ArgMining2016), 82-93, 2016	59	2016
Figurative language in recognizing textual entailment T Chakrabarty, D Ghosh, A Poliak, S Muresan arXiv preprint arXiv:2106.01195, 2021	36	2021
" With 1 Follower I Must Be AWESOME: P." Exploring the Role of Irony Markers in Irony Recognition D Ghosh, S Muresan Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018	28	2018
" Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays T Alhindi, D Ghosh arXiv preprint arXiv:2103.04518, 2021	24	2021
Annotating multiparty discourse: Challenges for agreement metrics N Wacholder, S Muresan, D Ghosh, M Aakhus Proceedings of LAW VIII-The 8th Linguistic Annotation Workshop, 120-128, 2014	24	2014
Using cross-lingual projections to generate semantic role labeled annotated corpus for urdu-a resource poor language S Mukund, D Ghosh, RK Srihari Proceedings of the 23rd International Conference on Computational …, 2010	22	2010
ChangeMyView through concessions: Do concessions increase persuasion? E Musi, D Ghosh, S Muresan arXiv preprint arXiv:1806.03223, 2018	19	2018
An exploratory study of argumentative writing by young students: A transformer-based approach D Ghosh, BB Klebanov, Y Song arXiv preprint arXiv:2006.09873, 2020	15	2020
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity D Ghosh, E Musi, K Upasani, S Muresan arXiv preprint arXiv:1911.00891, 2019	15	2019
The benefits of label-description training for zero-shot text classification L Gao, D Ghosh, K Gimpel arXiv preprint arXiv:2305.02239, 2023	14	2023

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