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2020 – today
- 2024
[j9]Brian Alspach
, Aditya Joshi:
On the 2-spanning cyclability of honeycomb toroidal graphs. Discret. Appl. Math. 359: 1-9 (2024)- [c61]Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi, Arash Shaghaghi, Simon Finn, Flora D. Salim, Sanjay Jha:
AuditNet: Conversational AI Security Assistant. MobileHCI (Companion) 2024: 22:1-22:4 - [i31]Aatman Vaidya, Arnav Arora, Aditya Joshi, Tarunima Prabhakar:
Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages. CoRR abs/2401.03677 (2024) - [i30]Aditya Joshi, Raj Dabre, Diptesh Kanojia, Zhuang Li, Haolan Zhan, Gholamreza Haffari, Doris Dippold:
Natural Language Processing for Dialects of a Language: A Survey. CoRR abs/2401.05632 (2024) - [i29]Dipankar Srirag, Aditya Joshi:
Evaluating Dialect Robustness of Language Models via Conversation Understanding. CoRR abs/2405.05688 (2024) - [i28]Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang:
On the relevance of pre-neural approaches in natural language processing pedagogy. CoRR abs/2405.09854 (2024) - [i27]Duke Nguyen, Aditya Joshi, Flora D. Salim:
Spectraformer: A Unified Random Feature Framework for Transformer. CoRR abs/2405.15310 (2024) - [i26]Zhewen Shen, Aditya Joshi, Ruey-Cheng Chen:
BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pretraining of BabyLM. CoRR abs/2406.11418 (2024) - [i25]Shengewei You, Aditya Joshi, Andrey Kuehlkamp, Jarek Nabrzyski:
A Multi-Party, Multi-Blockchain Atomic Swap Protocol with Universal Adaptor Secret. CoRR abs/2406.16822 (2024) - [i24]Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi, Arash Shaghaghi, Simon Finn, Flora D. Salim, Sanjay Jha:
AuditNet: A Conversational AI-based Security Assistant [DEMO]. CoRR abs/2407.14116 (2024) - [i23]Dipankar Srirag, Aditya Joshi, Jacob Eisenstein:
Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models. CoRR abs/2409.00358 (2024) - [i22]Aditya Joshi, Diptesh Kanojia, Heather C. Lent, Hour Kaing, Haiyue Song:
Connecting Ideas in 'Lower-Resource' Scenarios: NLP for National Varieties, Creoles and Other Low-resource Scenarios. CoRR abs/2409.12683 (2024) - 2023
- [j8]Aditya Joshi, Skieler Capezza, Ahmad Alhaji, Mo-Yuen Chow:
Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems. IEEE CAA J. Autom. Sinica 10(7): 1513-1529 (2023) - [c60]Duke Nguyen, Khaing Myat Noe Naing, Aditya Joshi:
Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection. ALTA 2023: 173-178 - [c59]Shengwei You, Aditya Joshi, Andrey Kuehlkamp, Jarek Nabrzyski:
Mining User Behavior in Decentralized Applications for Blockchain Trust and Security Analytics. BCCA 2023: 60-67 - [c58]Aditya Joshi, Bente Molenkamp, Sergey A. Sosnovsky:
Student Perception of Social Comparison in Technology Enhanced Learning. EC-TEL 2023: 118-132 - [c57]Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - [c56]Ayush Kumar, Gurpreet Singh, Vandana Rawat, Deepti Negi, Aditya Joshi:
Remotely Controlled Electronic Noticeboard Using NodeMCU. ICCCNT 2023: 1-6 - [c55]Skieler Capezza, Aditya Joshi, Mo-Yuen Chow:
Weighted Hierarchical Consensus based Economic Dispatch Utilizing Cluster Size Estimation for Networked Microgrids. IECON 2023: 1-6 - [c54]Sangharatna Godboley, P. Radha Krishna, Aditya Joshi, Ishita Gupta, Rahul Khatav:
Smart Contract Test Case Prioritization based on Frequency and Gas Consumption. QRS Companion 2023: 290-299 - [i21]Diptesh Kanojia, Aditya Joshi:
Applications and Challenges of Sentiment Analysis in Real-life Scenarios. CoRR abs/2301.09912 (2023) - [i20]Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - [i19]Aditya Joshi, Shruta Rawat, Alpana Dange:
Evaluation of large language models using an Indian language LGBTI+ lexicon. CoRR abs/2310.17787 (2023) - [i18]Duke Nguyen, Khaing Myat Noe Naing, Aditya Joshi:
Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection. CoRR abs/2310.18906 (2023) - [i17]Jaeff Hong, Duong Dung, Danielle Hutchinson, Zubair Akhtar, Rosalie Chen, Rebecca Dawson, Aditya Joshi, Samsung Lim, C. Raina MacIntyre, Deepti Gurdasani:
Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance. CoRR abs/2311.01472 (2023) - 2022
- [j7]Brian Alspach, Aditya Joshi:
On the chromatic index of generalized truncations. Ars Math. Contemp. 22(3): 3 (2022) - [c53]Ashutosh Kumar, Aditya Joshi:
Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks. ACL (Findings) 2022: 1887-1895 - [c52]Akshita Patwal, Manoj Diwakar, Aditya Joshi, Prabhishek Singh:
Facial expression recognition using DenseNet. OCIT 2022: 548-552 - [c51]Aditya Joshi:
Supporting student motivation through Social Comparison. EC-TEL (Doctoral Consortium) 2022: 22-29 - [c50]Aditya Joshi, Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mourão, Sabir Ribas, Saumya Pandey:
Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering. RecSys 2022: 531-533 - [c49]Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro:
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. SemEval@NAACL 2022: 938-944 - [i16]Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro:
IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. CoRR abs/2203.02244 (2022) - [i15]Ashutosh Kumar, Aditya Joshi:
Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks. CoRR abs/2203.13491 (2022) - 2021
- [j6]Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Shahpar Yakhchi, Mehmet A. Orgun, Alireza Jolfaei, Quan Z. Sheng:
Modeling Personality Effect in Trust Prediction. J. Data Intell. 2(4): 401-417 (2021) - 2020
- [j5]Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Adnan Mahmood, Shahpar Yakhchi, Mehmet A. Orgun:
A Survey on Trust Prediction in Online Social Networks. IEEE Access 8: 144292-144309 (2020) - [j4]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective. ACM Comput. Surv. 52(6): 119:1-119:19 (2020) - [c48]Brian Jin, Aditya Joshi, Ross Sparks, Stephen Wan, Cécile Paris, C. Raina MacIntyre:
'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia. AAAI 2020: 13616-13617 - [c47]Urmi Saha, Abhijeet Dubey, Aditya Joshi, Pushpak Bhattachharyya:
Enhancing Neural Sentiment Analysis with Aspect Weights. COMAD/CODS 2020: 332-333 - [c46]Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR 2020: 2443-2451 - [c45]Akash Sheoran, Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya:
Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study. LREC 2020: 4982-4990 - [c44]Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Shahpar Yakhchi, Alireza Jolfaei, Mehmet A. Orgun:
A dynamic deep trust prediction approach for online social networks. MoMM 2020: 11-19 - [c43]Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu:
Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. WWW 2020: 1217-1227 - [i14]Akash Sheoran, Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya:
Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study. CoRR abs/2004.04478 (2020)
2010 – 2019
- 2019
- [c42]Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris:
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. ACL (1) 2019: 1142-1147 - [c41]Wenyi Tay, Aditya Joshi, Xiuzhen Zhang, Sarvnaz Karimi, Stephen Wan:
Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation. ALTA 2019: 52-60 - [c40]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics. ALTA 2019: 151-158 - [c39]Diego Mollá, Aditya Joshi:
Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification. ALTA 2019: 192-196 - [c38]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. BioNLP@ACL 2019: 135-141 - [c37]Abhijeet Dubey, Aditya Joshi, Pushpak Bhattacharyya:
Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation. COMAD/CODS 2019: 289-292 - [c36]Seyed Mohssen Ghafari, Aditya Joshi, Amin Beheshti, Cécile Paris, Shahpar Yakhchi, Mehmet A. Orgun:
DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks. MoMM 2019: 20-27 - [c35]Abhijeet Dubey, Lakshya Kumar, Arpan Somani, Aditya Joshi, Pushpak Bhattacharyya:
"When Numbers Matter!": Detecting Sarcasm in Numerical Portions of Text. WASSA@NAACL-HLT 2019: 72-80 - [i13]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective. CoRR abs/1903.05801 (2019) - [i12]Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris:
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. CoRR abs/1906.05466 (2019) - [i11]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. CoRR abs/1906.05468 (2019) - [i10]Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CoRR abs/1912.04838 (2019) - 2018
- [b1]Aditya Joshi, Pushpak Bhattacharyya, Mark J. Carman:
Investigations in Computational Sarcasm. Cognitive Systems Monographs 37, Springer 2018, ISBN 978-981-10-8395-2, pp. 1-135 - [c34]Satyajit Kamble, Aditya Joshi:
Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models. ICON 2018: 150-155 - [c33]Aditya Joshi, Neha Prabhugaonkar, Rupa Hadaye, S. Unnikrishnan, Suman Das, Nehal Gala, Prasad Bari, Natwar Mall:
'I Understand What You Asked': Question Interpreter for an AI-Based Business Analyst. IntelliSys (2) 2018: 1282-1288 - [c32]Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark J. Carman:
Sarcasm Target Identification: Dataset and An Introductory Approach. LREC 2018 - [c31]Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. SMM4H@EMNLP 2018: 43-47 - [i9]Satyajit Kamble, Aditya Joshi:
Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models. CoRR abs/1811.05145 (2018) - 2017
- [j3]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Automatic Sarcasm Detection: A Survey. ACM Comput. Surv. 50(5): 73:1-73:22 (2017) - [c30]Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark James Carman:
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation. AAAI 2017: 5095-5096 - [c29]Aditya Joshi, Samarth Agrawal, Pushpak Bhattacharyya, Mark James Carman:
Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection. PACLING 2017: 275-287 - [c28]Aditya Joshi:
Detecting Sarcasm Using Different Forms Of Incongruity. WASSA@EMNLP 2017: 1 - [i8]Aditya Joshi, Samarth Agrawal, Pushpak Bhattacharyya, Mark James Carman:
Expect the unexpected: Harnessing Sentence Completion for Sarcasm Detection. CoRR abs/1707.06151 (2017) - 2016
- [j2]Joe Cheri Ross, Aditya Joshi, Pushpak Bhattacharyya:
A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums. Computación y Sistemas 20(3): 505-513 (2016) - [j1]Aditya Joshi, Marie Muller, Sarah E. Shelton, Virginie Papadopoulou, Brooks D. Lindsey, Paul A. Dayton:
In-vivo quantitative analysis of the angiogenic microvasculature in tumor-bearing rats using multiple scattering. Proc. Meet. Acoust. 29(1) (2016) - [c27]Aditya Joshi, Vaibhav Tripathi, Ravindra Soni, Pushpak Bhattacharyya, Mark James Carman:
EmoGram: An Open-Source Time Sequence-Based Emotion Tracker and Its Innovative Applications. AAAI Workshop: Knowledge Extraction from Text 2016 - [c26]Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, Mark James Carman, Meghna Singh, Jaya Saraswati, Rajita Shukla:
How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature. ALTA 2016: 123-127 - [c25]Aditya Joshi, Ameya Prabhu, Manish Shrivastava, Vasudeva Varma:
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text. COLING 2016: 2482-2491 - [c24]Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, Mark James Carman:
Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'. CoNLL 2016: 146-155 - [c23]Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman:
Are Word Embedding-based Features Useful for Sarcasm Detection? EMNLP 2016: 1006-1011 - [c22]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman, Jaya Saraswati, Rajita Shukla:
How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text. LaTeCH@ACL 2016 - [c21]Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
That'll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models. LREC 2016 - [c20]Aditya Joshi, Johan T. Halseth, Pentti Kanerva:
Language Geometry Using Random Indexing. QI 2016: 265-274 - [c19]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors. WASSA@NAACL-HLT 2016: 82-90 - [i7]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Automatic Sarcasm Detection: A Survey. CoRR abs/1602.03426 (2016) - [i6]Aditya Joshi, Abhijit Mishra, Balamurali A. R., Pushpak Bhattacharyya, Mark James Carman:
A Computational Approach to Automatic Prediction of Drunk Texting. CoRR abs/1610.00879 (2016) - [i5]Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman:
Are Word Embedding-based Features Useful for Sarcasm Detection? CoRR abs/1610.00883 (2016) - [i4]Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark James Carman:
Automatic Identification of Sarcasm Target: An Introductory Approach. CoRR abs/1610.07091 (2016) - [i3]Ameya Prabhu, Aditya Joshi, Manish Shrivastava, Vasudeva Varma:
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text. CoRR abs/1611.00472 (2016) - [i2]Aditya Joshi, Prayas Jain, Pushpak Bhattacharyya, Mark James Carman:
'Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection. CoRR abs/1611.04326 (2016) - 2015
- [c18]Aditya Joshi, Abhijit Mishra, Balamurali A. R., Pushpak Bhattacharyya, Mark James Carman:
A Computational Approach to Automatic Prediction of Drunk-Texting. ACL (2) 2015: 604-608 - [c17]Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya:
Harnessing Context Incongruity for Sarcasm Detection. ACL (2) 2015: 757-762 - [c16]Naman Gupta, Aditya Joshi, Pushpak Bhattacharyya:
A temporal expression recognition system for medical documents by. ICON 2015: 84-88 - [c15]Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT. ICON 2015: 308-315 - [c14]Satarupa Guha, Aditya Joshi, Vasudeva Varma:
Sentibase: Sentiment Analysis in Twitter on a Budget. SemEval@NAACL-HLT 2015: 590-594 - [c13]Satarupa Guha, Aditya Joshi, Vasudeva Varma:
SIEL: Aspect Based Sentiment Analysis in Reviews. SemEval@NAACL-HLT 2015: 759-766 - [c12]Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm. WASSA@EMNLP 2015: 25-30 - 2014
- [c11]Aditya Joshi, Abhijit Mishra, Nivvedan Senthamilselvan, Pushpak Bhattacharyya:
Measuring Sentiment Annotation Complexity of Text. ACL (2) 2014: 36-41 - [c10]K. Santosh, Aditya Joshi, Manish Gupta, Vasudeva Varma:
Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors. UMAP Workshops 2014 - [c9]Abhijit Mishra, Aditya Joshi, Pushpak Bhattacharyya:
A cognitive study of subjectivity extraction in sentiment annotation. WASSA@ACL 2014: 142-146 - [i1]Aditya Joshi, Johan T. Halseth, Pentti Kanerva:
Language Recognition using Random Indexing. CoRR abs/1412.7026 (2014) - 2013
- [c8]Adam Charles, Ali Ahmed, Aditya Joshi, Stephen Conover, Christopher K. Turnes, Mark A. Davenport:
Cleaning up toxic waste: Removing nefarious contributions to recommendation systems. ICASSP 2013: 6571-6575 - [c7]Aditya Joshi, Kashyap Popat, Shubham Gautam, Pushpak Bhattacharyya:
Making Headlines in Hindi: Automatic English to Hindi News Headline Translation. IJCNLP 2013: 21-24 - 2012
- [c6]Balamurali A. R., Aditya Joshi, Pushpak Bhattacharyya:
Cross-Lingual Sentiment Analysis for Indian Languages using Linked WordNets. COLING (Posters) 2012: 73-82 - [c5]Balamurali A. R., Aditya Joshi, Pushpak Bhattacharyya:
Cost and Benefit of Using WordNet Senses for Sentiment Analysis. LREC 2012: 3090-3097 - 2011
- [c4]Aditya Joshi, Balamurali A. R., Pushpak Bhattacharyya, Rajat Kumar Mohanty:
C-Feel-It: A Sentiment Analyzer for Micro-blogs. ACL (System Demonstrations) 2011: 127-132 - [c3]Balamurali A. R., Aditya Joshi, Pushpak Bhattacharyya:
Harnessing WordNet Senses for Supervised Sentiment Classification. EMNLP 2011: 1081-1091 - [c2]A. R. Balamurali, Aditya Joshi, Pushpak Bhattacharyya:
Robust Sense-based Sentiment Classification. WASSA@ACL 2011: 132-138 - 2010
- [c1]Hrishikesh B. Acharya, Aditya Joshi, Mohamed G. Gouda:
Firewall modules and modular firewalls. ICNP 2010: 174-182
Coauthor Index
Mark J. Carman
aka: Mark James Carman
aka: Mark James Carman
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