Debanjan Ghosh

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Smaranda MuresanColumbia UnviersityDirección de correo verificada de ccls.columbia.edu
Tuhin ChakrabartyStony Brook University , Department of Computer ScienceDirección de correo verificada de columbia.edu
Nina WacholderLibrary and Information Science, School of Communication and Information, Rutgers UniversityDirección de correo verificada de rutgers.edu
Elena MusiAssociate Professor (Reader), University of LiverpoolDirección de correo verificada de liverpool.ac.uk
Alexander R. FabbriScale AIDirección de correo verificada de scale.com
Mark AakhusProfessor & Associate Dean for Research, School of Communication and Information, Rutgers UniversityDirección de correo verificada de comminfo.rutgers.edu
Shambhu UpadhyayaProfessor of Computer Science and Engineering, University at BuffaloDirección de correo verificada de buffalo.edu
H.R. RaoDepartment of Information Systems and Cyber Security, University of Texas at San AntonioDirección de correo verificada de buffalo.edu
Arkadiy SaakyanColumbia UniversityDirección de correo verificada de cs.columbia.edu
Weiwei GuoLinkedInDirección de correo verificada de linkedin.com
Matthew MitsuiPostdoctoral Associate, Rutgers UniversityDirección de correo verificada de scarletmail.rutgers.edu
Beata Beigman KlebanovEducational Testing ServiceDirección de correo verificada de ets.org
Aquila KhanamColumbia UniversityDirección de correo verificada de columbia.edu
Nanyun (Violet) PengAssociate Professor, UCLADirección de correo verificada de cs.ucla.edu
Rohini SrihariProfessor, Department of Computer Science and Engineering, University at Buffalo, The StateDirección de correo verificada de buffalo.edu
Roberto González-IbáñezAssociate Professor, Departamento de Ingeniería Informática, Universidad de Santiago de ChileDirección de correo verificada de usach.cl
Avijit VajpayeeApplied Scientist II, Amazon Prime VideoDirección de correo verificada de amazon.com
Kevin GimpelQuillBotDirección de correo verificada de ttic.edu
Lingyu GaoDuolingoDirección de correo verificada de duolingo.com
Adam PoliakBryn Mawr CollegeDirección de correo verificada de brynmawr.edu

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Debanjan Ghosh

NLP Research, Analog Devices

Dirección de correo verificada de analog.com - Página principal

Natural Language Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	146	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	96	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	87	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	85	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	74	2016
FLUTE: Figurative language understanding through textual explanations T Chakrabarty, A Saakyan, D Ghosh, S Muresan arXiv preprint arXiv:2205.12404, 2022	71	2022
A report on the 2020 sarcasm detection shared task D Ghosh, A Vajpayee, S Muresan arXiv preprint arXiv:2005.05814, 2020	68	2020
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	57	2016
Figurative language in recognizing textual entailment T Chakrabarty, D Ghosh, A Poliak, S Muresan arXiv preprint arXiv:2106.01195, 2021	38	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	29	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	21	2010
ChangeMyView through concessions: Do concessions increase persuasion? E Musi, D Ghosh, S Muresan arXiv preprint arXiv:1806.03223, 2018	19	2018
The benefits of label-description training for zero-shot text classification L Gao, D Ghosh, K Gimpel arXiv preprint arXiv:2305.02239, 2023	16	2023
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	16	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

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