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Ramesh Nallapati
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2020 – today
- 2024
- [c61]Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras:
BASS: Batched Attention-optimized Speculative Sampling. ACL (Findings) 2024: 8214-8224 - [c60]Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang:
Token Alignment via Character Matching for Subword Completion. ACL (Findings) 2024: 15725-15738 - [c59]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING 2024: 3433-3445 - [c58]Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang:
Code Representation Learning at Scale. ICLR 2024 - [c57]Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang:
Bifurcated Attention for Single-Context Large-Batch Sampling. ICML 2024 - [i36]Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang:
Code Representation Learning At Scale. CoRR abs/2402.01935 (2024) - [i35]Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Rob Kwiatkowski, Ramesh Nallapati, Bing Xiang:
Token Alignment via Character Matching for Subword Completion. CoRR abs/2403.08688 (2024) - [i34]Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang:
Bifurcated Attention for Single-Context Large-Batch Sampling. CoRR abs/2403.08845 (2024) - [i33]Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras:
BASS: Batched Attention-optimized Speculative Sampling. CoRR abs/2404.15778 (2024) - 2023
- [c56]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. ACL (2) 2023: 782-792 - [c55]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) 2023: 6436-6459 - [c54]Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma:
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. ACL (1) 2023: 11067-11083 - [c53]Shiqi Wang, Zheng Li, Haifeng Qian
, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) 2023: 13818-13843 - [c52]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati:
Multi-lingual Evaluation of Code Generation Models. ICLR 2023 - [c51]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS 2023 - [i32]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. CoRR abs/2307.02435 (2023) - [i31]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR abs/2310.11248 (2023) - 2022
- [c50]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. ACL (2) 2022: 203-211 - [c49]Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Bing Xiang, Ramesh Nallapati, Sudipta Sengupta:
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. EMNLP (Industry Track) 2022: 306-312 - [c48]Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer:
Efficient Few-Shot Fine-Tuning for Opinion Summarization. NAACL-HLT (Findings) 2022: 1509-1523 - [i30]Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth:
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. CoRR abs/2203.11239 (2022) - [i29]Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer:
Efficient Few-Shot Fine-Tuning for Opinion Summarization. CoRR abs/2205.02170 (2022) - [i28]Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Ramesh Nallapati, Bing Xiang, Sudipta Sengupta:
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. CoRR abs/2209.14415 (2022) - [i27]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR abs/2210.01185 (2022) - [i26]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022) - [i25]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR abs/2212.10007 (2022) - [i24]Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. CoRR abs/2212.10264 (2022) - 2021
- [c47]Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. ACL/IJCNLP (1) 2021: 3263-3276 - [c46]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. ACL/IJCNLP (1) 2021: 6881-6894 - [c45]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu:
Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. IEEE BigData 2021: 540-549 - [c44]Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang:
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. EACL 2021: 347-357 - [c43]Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang:
Entity-level Factual Consistency of Abstractive Text Summarization. EACL 2021: 2727-2733 - [c42]Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Pairwise Supervised Contrastive Learning of Sentence Representations. EMNLP (1) 2021: 5786-5798 - [c41]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. NAACL-HLT 2021: 5419-5430 - [c40]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz:
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. WWW 2021: 1761-1771 - [i23]Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang:
Entity-level Factual Consistency of Abstractive Text Summarization. CoRR abs/2102.09130 (2021) - [i22]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. CoRR abs/2103.12953 (2021) - [i21]Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer:
Transductive Learning for Abstractive News Summarization. CoRR abs/2104.09500 (2021) - [i20]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. CoRR abs/2105.04623 (2021) - [i19]Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Pairwise Supervised Contrastive Learning of Sentence Representations. CoRR abs/2109.05424 (2021) - 2020
- [c39]Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. AAAI 2020: 9741-9748 - [c38]Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. ACL 2020: 4508-4513 - [c37]Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Beyond [CLS] through Ranking by Generation. EMNLP (1) 2020: 1722-1727 - [c36]Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang:
Unsupervised Domain Adaptation for Cross-lingual Text Labeling. EMNLP (Findings) 2020: 3527-3536 - [c35]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu:
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. EMNLP (1) 2020: 4952-4962 - [c34]Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. EMNLP (1) 2020: 5445-5460 - [c33]Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola:
Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference 2020: 731-737 - [i18]Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. CoRR abs/2004.11892 (2020) - [i17]Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Embedding-based Zero-shot Retrieval through Query Generation. CoRR abs/2009.10270 (2020) - [i16]Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Beyond [CLS] through Ranking by Generation. CoRR abs/2010.03073 (2020) - [i15]Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. CoRR abs/2010.06028 (2020) - [i14]Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. CoRR abs/2011.13137 (2020)
2010 – 2019
- 2019
- [c32]Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang:
Topic Modeling with Wasserstein Autoencoders. ACL (1) 2019: 6345-6381 - [c31]Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Domain Adaptation with BERT-based Domain Classification and Data Selection. DeepLo@EMNLP-IJCNLP 2019: 76-83 - [c30]Pramuditha Perera, Ramesh Nallapati, Bing Xiang:
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. CVPR 2019: 2898-2906 - [c29]Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. EMNLP/IJCNLP (1) 2019: 5877-5881 - [c28]Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati, Anima Anandkumar:
Multi Sense Embeddings from Topic Models. ICNLSP 2019: 34-41 - [i13]Pramuditha Perera, Ramesh Nallapati, Bing Xiang:
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations. CoRR abs/1903.08550 (2019) - [i12]Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Passage Ranking with Weak Supervsion. CoRR abs/1905.05910 (2019) - [i11]Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang:
Topic Modeling with Wasserstein Autoencoders. CoRR abs/1907.12374 (2019) - [i10]Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang:
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. CoRR abs/1908.08167 (2019) - [i9]Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati, Anima Anandkumar:
Multi Sense Embeddings from Topic Models. CoRR abs/1909.07746 (2019) - [i8]Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang:
Universal Text Representation from BERT: An Empirical Study. CoRR abs/1910.07973 (2019) - [i7]Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer. CoRR abs/1911.10666 (2019) - 2018
- [c27]Ran Ding, Ramesh Nallapati, Bing Xiang:
Coherence-Aware Neural Topic Modeling. EMNLP 2018: 830-836 - [i6]Ran Ding, Ramesh Nallapati, Bing Xiang:
Coherence-Aware Neural Topic Modeling. CoRR abs/1809.02687 (2018) - 2017
- [c26]Ramesh Nallapati, Feifei Zhai, Bowen Zhou:
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. AAAI 2017: 3075-3081 - [i5]Ramesh Nallapati, Igor Melnyk, Abhishek Kumar, Bowen Zhou:
SenGen: Sentence Generating Neural Variational Topic Model. CoRR abs/1708.00308 (2017) - 2016
- [c25]Çaglar Gülçehre
Pointing the Unknown Words. ACL (1) 2016 - [c24]Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. CoNLL 2016: 280-290 - [i4]Ramesh Nallapati, Bing Xiang, Bowen Zhou:
Sequence-to-Sequence RNNs for Text Summarization. CoRR abs/1602.06023 (2016) - [i3]Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio:
Pointing the Unknown Words. CoRR abs/1603.08148 (2016) - [i2]Ramesh Nallapati, Feifei Zhai, Bowen Zhou:
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents. CoRR abs/1611.04230 (2016) - [i1]Ramesh Nallapati, Bowen Zhou, Mingbo Ma:
Classify or Select: Neural Architectures for Extractive Document Summarization. CoRR abs/1611.04244 (2016) - 2015
- [c23]Ramesh Nallapati, Radu Florian:
Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding. BioNLP@IJCNLP 2015: 52-60 - 2014
- [j1]Gregory K. Myers, Ramesh Nallapati, Julien van Hout, Stephanie Pancoast, Ramakant Nevatia, Chen Sun, AmirHossein Habibian, Dennis C. Koelma, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek
Evaluating multimedia features and fusion for example-based event detection. Mach. Vis. Appl. 25(1): 17-32 (2014) - [c22]Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan:
Joint question clustering and relevance prediction for open domain non-factoid question answering. WWW 2014: 503-514 - [p1]Gregory K. Myers, Cees G. M. Snoek, Ramakant Nevatia, Ramesh Nallapati, Julien van Hout, Stephanie Pancoast, Chen Sun, AmirHossein Habibian, Dennis C. Koelma, Koen E. A. van de Sande, Arnold W. M. Smeulders:
Evaluating Multimedia Features and Fusion for Example-Based Event Detection. Fusion in Computer Vision 2014: 109-133 - 2013
- [c21]Ramesh Nallapati, Eric Yeh, Gregory K. Myers:
Sparse conditional mixture model: late fusion with missing scores for multimedia event detection. Multimedia Content and Mobile Devices 2013: 866706 - 2012
- [c20]Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, Christopher D. Manning:
Multi-instance Multi-label Learning for Relation Extraction. EMNLP-CoNLL 2012: 455-465 - [c19]Murat Akbacak, Robert C. Bolles, J. Brian Burns, Mark Elliot, Aaron Heller, James A. Herson, Gregory K. Myers, Ramesh Nallapati, Stephanie Pancoast, Julien van Hout, Eric Yeh, AmirHossein Habibian, Dennis C. Koelma, Zhenyang Li, Masoud Mazloom, Silvia-Laura Pintea, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek, Sung Chun Lee, Ram Nevatia, Pramod Sharma, Chen Sun, Rémi Trichet:
The 2012 SESAME Multimedia Event Detection (MED) System. TRECVID 2012 - 2011
- [c18]Mihai Surdeanu, Ramesh Nallapati, George Gregory, Joshua Walker, Christopher D. Manning
Risk analysis for intellectual property litigation. ICAIL 2011: 116-120 - [c17]Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky:
LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. ICWSM 2011 - [c16]Murat Akbacak, Robert C. Bolles, J. Brian Burns, Mark Elliot, Aaron Heller, James A. Herson, Gregory K. Myers, Ramesh Nallapati, Eric Yeh, Dennis C. Koelma, Xirong Li, Masoud Mazloom, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek, Sung Chun Lee, Ram Nevatia, Pramod Sharma, Chen Sun, Rémi Trichet:
The SESAME MED System. TRECVID 2011 - [c15]Ramesh Nallapati, Daniel A. McFarland, Christopher D. Manning:
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents. AISTATS 2011: 543-551
2000 – 2009
- 2009
- [c14]Daniel Ramage, David Hall, Ramesh Nallapati, Christopher D. Manning:
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. EMNLP 2009: 248-256 - 2008
- [c13]Andrew O. Arnold, Ramesh Nallapati, William W. Cohen:
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. ACL 2008: 245-253 - [c12]Ramesh Nallapati, Christopher D. Manning:
Legal Docket Classification: Where Machine Learning Stumbles. EMNLP 2008: 438-446 - [c11]Ramesh Nallapati, William W. Cohen:
Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. ICWSM 2008 - [c10]Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen:
Joint latent topic models for text and citations. KDD 2008: 542-550 - 2007
- [c9]Andrew O. Arnold, Ramesh Nallapati, William W. Cohen:
A Comparative Study of Methods for Transductive Transfer Learning. ICDM Workshops 2007: 77-82 - [c8]Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing:
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. ICDM Workshops 2007: 343-348 - [c7]Ramesh Nallapati, William W. Cohen, John D. Lafferty:
Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. ICDM Workshops 2007: 349-354 - [c6]Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung:
Multiscale topic tomography. KDD 2007: 520-529 - 2004
- [c5]Ramesh Nallapati, Ao Feng, Fuchun Peng, James Allan:
Event threading within news topics. CIKM 2004: 446-453 - [c4]Ramesh Nallapati:
Discriminative models for information retrieval. SIGIR 2004: 64-71 - 2003
- [c3]Ramesh Nallapati, W. Bruce Croft, James Allan:
Relevant query feedback in statistical language modeling. CIKM 2003: 560-563 - [c2]Ramesh Nallapati:
Semantic Language Models for Topic Detection and Tracking. HLT-NAACL 2003 - 2002
- [c1]Ramesh Nallapati, James Allan:
Capturing term dependencies using a language model based on sentence trees. CIKM 2002: 383-390
Coauthor Index
[c60] [c59] [c58] [c57] [i36] [i35] [i34] [c56] [c55] [c53] [c51] [i32] [i31] [c50] [c49] [i30] [i28] [i27] [i26] [i25] [i24] [c47] [c46] [c44] [c43] [c42] [c41] [c40] [i23] [i22] [i20] [i19] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [i18] [i17] [i16] [i15] [i14] [c32] [c31] [c30] [c29] [i13] [i12] [i11] [i10] [i8] [i7] [c27] [i6] [c24] [i4]
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last updated on 2024-11-18 20:40 CET by the dblp team
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