Suraj Maharjan

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Thamar SolorioUniversity of HoustonVerified email at uh.edu
Prasha ShresthaApplied Scientist, Amazon Alexa AIVerified email at amazon.com
Sudipta KarAmazon, Alexa AIVerified email at amazon.com
Steven BethardAssociate Professor, University of ArizonaVerified email at arizona.edu
Manuel Montes-y-GómezNational Institute of Astrophysics, Optics and ElectronicsVerified email at inaoep.mx
Fabio GonzalezFull Professor, Comp. Systems and Industrial Eng. Dept, National University of ColombiaVerified email at unal.edu.co
Adrián Pastor López-MonroyArtificial Intelligence, Mathematics Research Center (CIMAT), GTO, MéxicoVerified email at cimat.mx
Svitlana VolkovaNational Security Directorate, Pacific Northwest NationalVerified email at pnnl.gov
Mona DiabProfessor of Computer Science, George Washington UniversityVerified email at gwu.edu
Julia HirschbergColumbia UniversityVerified email at cs.columbia.edu
Pascale FungDept. of Electronic & Computer Engineering, the Hong Kong University of Science & TechnologyVerified email at ece.ust.hk
Fahad AlGhamdiGeorge Washington UniversityVerified email at gwmail.gwu.edu
Laura KallmeyerProfessor of Computational Linguistics, Duesseldorf UniversityVerified email at phil.uni-duesseldorf.de
Mohammed AttiaAnalytical Linguist, Google Inc.; Research Scientist, George Washington University; PostDoc, DCUVerified email at computing.dcu.ie
Younes SamihHeinrich-Heine-Universität Düsseldorf, Dept. Computational Linguistics, GermanyVerified email at hhu.de
Gustavo AguilarAmazon, Alexa AIVerified email at amazon.com
Dustin ArendtPacific Northwest National LaboratoryVerified email at pnnl.gov
Niloofar Safi SamghabadiExpedia Inc.Verified email at expediagroup.com
John ArevaloBroad Institute of MIT and HarvardVerified email at broadinstitute.org
Ragib HasanAssociate Professor of Computer Science, University of Alabama at BirminghamVerified email at uab.edu

Suraj Maharjan

Amazon

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Natural Language Processing Deep Learning Machine Learning Data Science


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Overview for the first shared task on language identification in code-switched data T Solorio, E Blair, S Maharjan, S Bethard, M Diab, M Ghoneim, A Hawwari, ... Proceedings of the First Workshop on Computational Approaches to Code …, 2014	230	2014
A multi-task approach for named entity recognition in social media data G Aguilar, S Maharjan, AP López-Monroy, T Solorio Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017	165	2017
Multilingual code-switching identification via lstm recurrent neural networks Y Samih, S Maharjan, M Attia, L Kallmeyer, T Solorio Proceedings of the second workshop on computational approaches to code …, 2016	66	2016
Detecting nastiness in social media NS Samghabadi, S Maharjan, A Sprague, R Diaz-Sprague, T Solorio Proceedings of the first workshop on abusive language online, 63-72, 2017	51	2017
Language identification and analysis of code-switched social media text D Mave, S Maharjan, T Solorio Proceedings of the third workshop on computational approaches to linguistic …, 2018	45	2018
Developing language-tagged corpora for code-switching tweets S Maharjan, E Blair, S Bethard, T Solorio Proceedings of The 9th Linguistic Annotation Workshop, 72-84, 2015	40	2015
A Simple Approach to Author Profiling in MapReduce. S Maharjan, P Shrestha, T Solorio CLEF (Working Notes), 1121-1128, 2014	36*	2014
Ritual-uh at semeval-2017 task 5: Sentiment analysis on financial data using neural networks S Kar, S Maharjan, T Solorio Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017	25	2017
A Multi-task Approach to Predict Likability of Books S Maharjan, J Arevalo, FA González, M Montes-y-Gómez, O y Electronica, ... EACL 2017, 2017	24	2017
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books S Maharjan, S Kar, M Montes-y-Gómez, FA Gonzalez, T Solorio NAACL 2018, 2018	22	2018
MPST: A Corpus of Movie Plot Synopses with Tags S Kar, S Maharjan, AP López-Monroy, T Solorio LREC 2018, 2018	22	2018
A genre-aware attention model to improve the likability prediction of books S Maharjan, M Montes, FA González, T Solorio Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018	22	2018
Multiple social platforms reveal actionable signals for software vulnerability awareness: A study of GitHub, Twitter and Reddit P Shrestha, A Sathanur, S Maharjan, E Saldanha, D Arendt, S Volkova Plos one 15 (3), e0230250, 2020	20	2020
Using Wide Range of Features for Author Profiling S Maharjan, T Solorio CLEF 2015 Evaluation Labs and Workshop -- Working Notes Papers, 2015	20*	2015
CogALex-V Shared Task: GHHH-Detecting Semantic Relations via Word Embeddings. M Attia, S Maharjan, Y Samih, L Kallmeyer, T Solorio CogALex@ COLING 1 (7), 8, 2016	19	2016
A straightforward author profiling approach in mapreduce S Maharjan, P Shrestha, T Solorio, R Hasan Advances in Artificial Intelligence--IBERAMIA 2014: 14th Ibero-American …, 2014	19	2014
Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow Encoded Neural Network S Kar, S Maharjan, T Solorio COLING 2018, 2879-2891, 2018	14	2018
Learning from dynamic user interaction graphs to forecast diverse social behavior P Shrestha, S Maharjan, D Arendt, S Volkova Proceedings of the 28th ACM international conference on information and …, 2019	13	2019
Machine Translation Evaluation Metric for Text Alignment. P Shrestha, S Maharjan, T Solorio CLEF (working notes), 1012-1016, 2014	9	2014
C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text using Feature Engineering L Advani, C Lu, S Maharjan https://arxiv.org/abs/2008.13549, 2020	8	2020

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