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Subhabrata Mukherjee
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2020 – today
- 2024
- [c57]Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah:
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. ICLR 2024 - [c56]Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar:
Teaching Language Models to Hallucinate Less with Synthetic Tasks. ICLR 2024 - [c55]Chuxu Zhang
, Dongkuan Xu
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD 2024: 6749-6750 - [i52]Subhabrata Mukherjee, Paul Gamble, Markel Sanz Ausin, Neel Kant, Kriti Aggarwal, Neha Manjunath, Debajyoti Datta, Zhengliang Liu, Jiayuan Ding, Sophia Busacca, Cezanne Bianco, Swapnil Sharma, Rae Lasko, Michelle Voisard, Sanchay Harneja, Darya Filippova, Gerry Meixiong, Kevin Cha, Amir Youssefi, Meyhaa Buvanesh, Howard Weingram, Sebastian Bierman-Lytle, Harpreet Singh Mangat, Kim Parikh, Saad Godil, Alex Miller:
Polaris: A Safety-focused LLM Constellation Architecture for Healthcare. CoRR abs/2403.13313 (2024) - [i51]Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah:
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. CoRR abs/2404.14618 (2024) - [i50]Yifan Jiang, Kriti Aggarwal, Tanmay Laud, Kashif Munir, Jay Pujara, Subhabrata Mukherjee:
RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking. CoRR abs/2409.17458 (2024) - 2023
- [c54]Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels. AAAI 2023: 4937-4945 - [c53]Venkata Prabhakara Sarath Nookala, Gaurav Verma, Subhabrata Mukherjee, Srijan Kumar:
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding. ACL (Findings) 2023: 2196-2208 - [c52]Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao:
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. ACL (Findings) 2023: 9116-9132 - [c51]Nitay Calderon, Subhabrata Mukherjee, Roi Reichart, Amir Kantor:
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training. ACL (1) 2023: 14632-14659 - [c50]Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu:
Accelerating Dataset Distillation via Model Augmentation. CVPR 2023: 11950-11959 - [c49]Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah:
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding. EACL 2023: 1758-1770 - [c48]Chuxu Zhang
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD 2023: 5901-5902 - [c47]Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio C. T. Mendes, Gustavo Henrique de Rosa, Shital Shah:
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. SustaiNLP 2023: 274-289 - [i49]Nitay Calderon, Subhabrata Mukherjee, Roi Reichart, Amir Kantor:
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training. CoRR abs/2305.02031 (2023) - [i48]Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, Xiang Ren:
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions. CoRR abs/2305.14676 (2023) - [i47]Binfeng Xu, Zhiyuan Peng, Bowen Lei, Subhabrata Mukherjee, Yuchen Liu, Dongkuan Xu:
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models. CoRR abs/2305.18323 (2023) - [i46]Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, Ahmed Awadallah:
Orca: Progressive Learning from Complex Explanation Traces of GPT-4. CoRR abs/2306.02707 (2023) - [i45]Venkata Prabhakara Sarath Nookala, Gaurav Verma, Subhabrata Mukherjee, Srijan Kumar:
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding. CoRR abs/2306.11066 (2023) - [i44]Luciano Del Corro, Allie Del Giorno, Sahaj Agarwal, Bin Yu, Ahmed Awadallah, Subhabrata Mukherjee:
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference. CoRR abs/2307.02628 (2023) - [i43]Hai Pham, Young Jin Kim, Subhabrata Mukherjee, David P. Woodruff, Barnabás Póczos, Hany Hassan Awadalla:
Task-Based MoE for Multitask Multilingual Machine Translation. CoRR abs/2308.15772 (2023) - [i42]Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Awadallah, Ece Kamar:
Teaching Language Models to Hallucinate Less with Synthetic Tasks. CoRR abs/2310.06827 (2023) - 2022
- [c46]Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. EMNLP 2022: 5744-5760 - [c45]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao:
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. NAACL-HLT (Findings) 2022: 2262-2281 - [c44]Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio César Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. NeurIPS 2022 - [c43]Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao:
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. NeurIPS 2022 - [c42]Sara Abdali, Subhabrata Mukherjee, Evangelos E. Papalexakis:
Vec2Node: Self-Training with Tensor Augmentation for Text Classification with Few Labels. ECML/PKDD (2) 2022: 571-587 - [i41]Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao:
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. CoRR abs/2201.12507 (2022) - [i40]Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. CoRR abs/2203.02094 (2022) - [i39]Shashank Gupta, Subhabrata Mukherjee, Krishan Subudhi, Eduardo Gonzalez, Damien Jose, Ahmed Hassan Awadallah, Jianfeng Gao:
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners. CoRR abs/2204.07689 (2022) - [i38]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models. CoRR abs/2205.12410 (2022) - [i37]Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels. CoRR abs/2208.11290 (2022) - [i36]Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio César Teodoro Mendes, Gustavo Henrique de Rosa, Shital Shah:
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. CoRR abs/2210.03251 (2022) - [i35]Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. CoRR abs/2210.07535 (2022) - [i34]Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu:
Accelerating Dataset Distillation via Model Augmentation. CoRR abs/2212.06152 (2022) - 2021
- [c41]Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee:
Self-training with Few-shot Rationalization. EMNLP (1) 2021: 10702-10712 - [c40]Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu
Meta Self-training for Few-shot Neural Sequence Labeling. KDD 2021: 1737-1747 - [c39]Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao:
The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. KDD 2021: 4143-4144 - [c38]Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah:
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. NAACL-HLT 2021: 499-511 - [c37]Giannis Karamanolakis, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah:
Self-Training with Weak Supervision. NAACL-HLT 2021: 845-863 - [c36]Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu:
Fairness via Representation Neutralization. NeurIPS 2021: 12091-12103 - [c35]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Ge Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
Few-Shot Learning Evaluation in Natural Language Understanding. NeurIPS Datasets and Benchmarks 2021 - [i33]Giannis Karamanolakis, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah:
Self-Training with Weak Supervision. CoRR abs/2104.05514 (2021) - [i32]Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah:
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. CoRR abs/2104.07908 (2021) - [i31]Subhabrata Mukherjee, Ahmed Hassan Awadallah, Jianfeng Gao:
XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation. CoRR abs/2106.04563 (2021) - [i30]Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu:
Fairness via Representation Neutralization. CoRR abs/2106.12674 (2021) - [i29]Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee:
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU. CoRR abs/2109.08259 (2021) - [i28]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
LiST: Lite Self-training Makes Efficient Few-shot Learners. CoRR abs/2110.06274 (2021) - [i27]Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah:
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression. CoRR abs/2110.08419 (2021) - [i26]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. CoRR abs/2111.02570 (2021) - 2020
- [c34]Subhabrata Mukherjee, Ahmed Hassan Awadallah:
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models. ACL 2020: 2221-2234 - [c33]Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. ACL 2020: 2896-2907 - [c32]Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah, Ryen White:
Smart To-Do: Automatic Generation of To-Do Items from Emails. ACL 2020: 8680-8689 - [c31]Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CIKM 2020: 2189-2192 - [c30]Subhabrata Mukherjee, Ahmed Hassan Awadallah:
Uncertainty-aware Self-training for Few-shot Text Classification. NeurIPS 2020 - [c29]Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu:
Early Detection of Fake News with Multi-source Weak Social Supervision. ECML/PKDD (3) 2020: 650-666 - [c28]Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan T. Dumais:
Learning with Weak Supervision for Email Intent Detection. SIGIR 2020: 1051-1060 - [i25]Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu:
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News. CoRR abs/2004.01732 (2020) - [i24]Subhabrata Mukherjee, Ahmed Hassan Awadallah:
TinyMBERT: Multi-Stage Distillation Framework for Massive Multi-lingual NER. CoRR abs/2004.05686 (2020) - [i23]Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. CoRR abs/2005.00699 (2020) - [i22]Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah, Ryen White:
Smart To-Do : Automatic Generation of To-Do Items from Emails. CoRR abs/2005.06282 (2020) - [i21]Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CoRR abs/2005.08591 (2020) - [i20]Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan T. Dumais:
Learning with Weak Supervision for Email Intent Detection. CoRR abs/2005.13084 (2020) - [i19]Subhabrata Mukherjee, Ahmed Hassan Awadallah:
Uncertainty-aware Self-training for Text Classification with Few Labels. CoRR abs/2006.15315 (2020) - [i18]Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah:
Adaptive Self-training for Few-shot Neural Sequence Labeling. CoRR abs/2010.03680 (2020)
2010 – 2019
- 2019
- [c27]Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
STANCY: Stance Classification Based on Consistency Cues. EMNLP/IJCNLP (1) 2019: 6412-6417 - [c26]Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum:
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. NAACL-HLT (1) 2019: 762-772 - [c25]Subhabrata Mukherjee, Stephan Günnemann:
GhostLink: Latent Network Inference for Influence-aware Recommendation. WWW 2019: 1310-1320 - [i17]Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum:
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. CoRR abs/1904.12606 (2019) - [i16]Subhabrata Mukherjee, Stephan Günnemann:
GhostLink: Latent Network Inference for Influence-aware Recommendation. CoRR abs/1905.05955 (2019) - [i15]Subhabrata Mukherjee, Ahmed Hassan Awadallah:
Distilling Transformers into Simple Neural Networks with Unlabeled Transfer Data. CoRR abs/1910.01769 (2019) - [i14]Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
STANCY: Stance Classification Based on Consistency Cues. CoRR abs/1910.06048 (2019) - 2018
- [c24]Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. EMNLP 2018: 22-32 - [c23]Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. KDD 2018: 1049-1058 - [c22]Kashyap Popat, Subhabrata Mukherjee, Jannik Strötgen, Gerhard Weikum:
CredEye: A Credibility Lens for Analyzing and Explaining Misinformation. WWW (Companion Volume) 2018: 155-158 - [r1]Subhabrata Mukherjee:
Sentiment Analysis of Reviews. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i13]Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. CoRR abs/1806.01264 (2018) - [i12]Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. CoRR abs/1809.06416 (2018) - 2017
- [b1]Subhabrata Mukherjee:
Probabilistic graphical models for credibility analysis in evolving online communities. Saarland University, Saarbrücken, Germany, 2017 - [c21]Subhabrata Mukherjee, Kashyap Popat, Gerhard Weikum:
Exploring Latent Semantic Factors to Find Useful Product Reviews. SDM 2017: 480-488 - [c20]Kashyap Popat, Subhabrata Mukherjee, Jannik Strötgen, Gerhard Weikum:
Where the Truth Lies: Explaining the Credibility of Emerging Claims on the Web and Social Media. WWW (Companion Volume) 2017: 1003-1012 - [i11]Subhabrata Mukherjee, Kashyap Popat, Gerhard Weikum:
Exploring Latent Semantic Factors to Find Useful Product Reviews. CoRR abs/1705.02518 (2017) - [i10]Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum:
Item Recommendation with Evolving User Preferences and Experience. CoRR abs/1705.02519 (2017) - [i9]Subhabrata Mukherjee, Gerhard Weikum, Cristian Danescu-Niculescu-Mizil:
People on Drugs: Credibility of User Statements in Health Communities. CoRR abs/1705.02522 (2017) - [i8]Subhabrata Mukherjee, Gerhard Weikum:
People on Media: Jointly Identifying Credible News and Trustworthy Citizen Journalists in Online Communities. CoRR abs/1705.02667 (2017) - [i7]Subhabrata Mukherjee, Sourav Dutta, Gerhard Weikum:
Credible Review Detection with Limited Information using Consistency Analysis. CoRR abs/1705.02668 (2017) - [i6]Subhabrata Mukherjee, Stephan Günnemann, Gerhard Weikum:
Personalized Item Recommendation with Continuous Experience Evolution of Users using Brownian Motion. CoRR abs/1705.02669 (2017) - [i5]Subhabrata Mukherjee:
Probabilistic Graphical Models for Credibility Analysis in Evolving Online Communities. CoRR abs/1707.08309 (2017) - 2016
- [c19]Kashyap Popat, Subhabrata Mukherjee, Jannik Strötgen, Gerhard Weikum:
Credibility Assessment of Textual Claims on the Web. CIKM 2016: 2173-2178 - [c18]Subhabrata Mukherjee, Stephan Günnemann, Gerhard Weikum:
Continuous Experience-aware Language Model. KDD 2016: 1075-1084 - [c17]Subhabrata Mukherjee, Sourav Dutta
Credible Review Detection with Limited Information Using Consistency Features. ECML/PKDD (2) 2016: 195-213 - 2015
- [c16]Subhabrata Mukherjee, Gerhard Weikum:
Leveraging Joint Interactions for Credibility Analysis in News Communities. CIKM 2015: 353-362 - [c15]Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum:
Experience-Aware Item Recommendation in Evolving Review Communities. ICDM 2015: 925-930 - 2014
- [c14]Subhabrata Mukherjee, Jitendra Ajmera, Sachindra Joshi:
Domain Cartridge: Unsupervised Framework for Shallow Domain Ontology Construction from Corpus. CIKM 2014: 929-938 - [c13]Subhabrata Mukherjee, Gerhard Weikum, Cristian Danescu-Niculescu-Mizil:
People on drugs: credibility of user statements in health communities. KDD 2014: 65-74 - [c12]Subhabrata Mukherjee, Sachindra Joshi:
Author-Specific Sentiment Aggregation for Polarity Prediction of Reviews. LREC 2014: 3092-3099 - [c11]Subhabrata Mukherjee, Gaurab Basu, Sachindra Joshi:
Joint Author Sentiment Topic Model. SDM 2014: 370-378 - [c10]Subhabrata Mukherjee, Sachindra Joshi:
Help yourself: a virtual self-assist system. WWW (Companion Volume) 2014: 171-174 - [c9]Subhabrata Mukherjee, Jitendra Ajmera, Sachindra Joshi:
Unsupervised approach for shallow domain ontology construction from corpus. WWW (Companion Volume) 2014: 349-350 - 2013
- [c8]Subhabrata Mukherjee, Sachindra Joshi:
Sentiment Aggregation using ConceptNet Ontology. IJCNLP 2013: 570-578 - [c7]Subhabrata Mukherjee, Gaurab Basu, Sachindra Joshi:
Incorporating author preference in sentiment rating prediction of reviews. WWW (Companion Volume) 2013: 47-48 - [c6]Subhabrata Mukherjee, Ashish Verma, Kenneth Ward Church
Intent classification of voice queries on mobile devices. WWW (Companion Volume) 2013: 149-150 - [i4]Subhabrata Mukherjee, Pushpak Bhattacharyya:
Sentiment Analysis : A Literature Survey. CoRR abs/1304.4520 (2013) - 2012
- [c5]Subhabrata Mukherjee, Pushpak Bhattacharyya:
Feature Specific Sentiment Analysis for Product Reviews. CICLing (1) 2012: 475-487 - [c4]Subhabrata Mukherjee, Akshat Malu, Balamurali A. R., Pushpak Bhattacharyya:
TwiSent: a multistage system for analyzing sentiment in twitter. CIKM 2012: 2531-2534 - [c3]Subhabrata Mukherjee, Pushpak Bhattacharyya:
Sentiment Analysis in Twitter with Lightweight Discourse Analysis. COLING 2012: 1847-1864 - [c2]Subhabrata Mukherjee, Pushpak Bhattacharyya:
YouCat: Weakly Supervised Youtube Video Categorization System from Meta Data & User Comments using WordNet & Wikipedia. COLING 2012: 1865-1882 - [c1]Subhabrata Mukherjee, Pushpak Bhattacharyya:
WikiSent: Weakly Supervised Sentiment Analysis through Extractive Summarization with Wikipedia. ECML/PKDD (1) 2012: 774-793 - [i3]Subhabrata Mukherjee, Mrinal K. Naskar, Amitava Mukherjee:
Adaptive Framework for Data Distribution in Wireless Sensor Networks. CoRR abs/1204.2879 (2012) - [i2]Subhabrata Mukherjee, Amrita Saha, Mrinal K. Naskar, Amitava Mukherjee:
Multisource Adaptive Data Distribution and Routing in Wireless Sensor Networks. CoRR abs/1204.2880 (2012) - [i1]Subhabrata Mukherjee, Anand Seetharam, Abhishek Bhattacharyya, Mrinal K. Naskar, Amitava Mukherjee:
Designing an Energy Efficient Framework for Data Gathering in Wireless Sensor Network. CoRR abs/1204.2882 (2012)
Coauthor Index
Ahmed Awadallah 0001
aka: Ahmed Hassan Awadallah
aka: Ahmed Hassan Awadallah
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