Ramesh Nallapati

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 73

Top Topics

Code Generation

Question Answering

Extractive Summarization

Top Venues

Publications

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 (2024)
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)
Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
Code Representation Learning at Scale. ICLR (2024)
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)
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 (2024)
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)
Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
Code Representation Learning At Scale. CoRR (2024)
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 (2024)
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)
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 (2023)
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)
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)
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 (2023)
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)
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)
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)
Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer
Efficient Few-Shot Fine-Tuning for Opinion Summarization. NAACL-HLT (Findings) (2022)
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 (2022)
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 (2022)
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)
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 (2022)
Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer
Efficient Few-Shot Fine-Tuning for Opinion Summarization. CoRR (2022)
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)
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 (2022)
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 (2022)
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 (2022)
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)
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)
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 (2021)
Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. EACL (2021)
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)
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)
Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer
Transductive Learning for Abstractive News Summarization. CoRR (2021)
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)
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 (2021)
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 (2021)
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)
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)
Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang
Pairwise Supervised Contrastive Learning of Sentence Representations. CoRR (2021)
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 (2020)
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)
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 (2020)
Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
Beyond [CLS] through Ranking by Generation. EMNLP (1) (2020)
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)
Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. AAAI (2020)
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)
Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
Beyond [CLS] through Ranking by Generation. CoRR (2020)
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)
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)
Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. CoRR (2020)
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 (2020)
Pramuditha Perera, Ramesh Nallapati, Bing Xiang
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations. CoRR (2019)
Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. CoRR (2019)
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
Topic Modeling with Wasserstein Autoencoders. CoRR (2019)
Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Domain Adaptation with BERT-based Domain Classification and Data Selection. DeepLo@EMNLP-IJCNLP (2019)
Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati, Anima Anandkumar
Multi Sense Embeddings from Topic Models. ICNLSP (2019)
Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang
Universal Text Representation from BERT: An Empirical Study. CoRR (2019)
Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang
Passage Ranking with Weak Supervsion. CoRR (2019)
Pramuditha Perera, Ramesh Nallapati, Bing Xiang
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. CVPR (2019)
Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer. CoRR (2019)
Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati, Anima Anandkumar
Multi Sense Embeddings from Topic Models. CoRR (2019)
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang
Topic Modeling with Wasserstein Autoencoders. ACL (1) (2019)
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)
Ran Ding, Ramesh Nallapati, Bing Xiang
Coherence-Aware Neural Topic Modeling. CoRR (2018)
Ran Ding, Ramesh Nallapati, Bing Xiang
Coherence-Aware Neural Topic Modeling. EMNLP (2018)
Ramesh Nallapati, Feifei Zhai, Bowen Zhou
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. AAAI (2017)
Ramesh Nallapati, Igor Melnyk, Abhishek Kumar, Bowen Zhou
SenGen: Sentence Generating Neural Variational Topic Model. CoRR (2017)
Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, Bing Xiang
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. CoNLL (2016)
Ramesh Nallapati, Bowen Zhou, Mingbo Ma
Classify or Select: Neural Architectures for Extractive Document Summarization. CoRR (2016)
Ramesh Nallapati, Feifei Zhai, Bowen Zhou
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents. CoRR (2016)
Ramesh Nallapati, Bing Xiang, Bowen Zhou
Sequence-to-Sequence RNNs for Text Summarization. CoRR (2016)
Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
Pointing the Unknown Words. CoRR (2016)
Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
Pointing the Unknown Words. ACL (1) (2016)
Ramesh Nallapati, Radu Florian
Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding. BioNLP@IJCNLP (2015)
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)
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) (2014)
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)
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)
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, Christopher D. Manning
Multi-instance Multi-label Learning for Relation Extraction. EMNLP-CoNLL (2012)
Mihai Surdeanu, Ramesh Nallapati, George Gregory, Joshua Walker, Christopher D. Manning
Risk analysis for intellectual property litigation. ICAIL (2011)
Ramesh Nallapati, Daniel A. McFarland, Christopher D. Manning
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents. AISTATS (2011)
Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky
LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. ICWSM (2011)
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)
Daniel Ramage, David Hall, Ramesh Nallapati, Christopher D. Manning
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. EMNLP (2009)
Ramesh Nallapati, Christopher D. Manning
Legal Docket Classification: Where Machine Learning Stumbles. EMNLP (2008)
Ramesh Nallapati, William W. Cohen
Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. ICWSM (2008)
Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen
Joint latent topic models for text and citations. KDD (2008)
Andrew O. Arnold, Ramesh Nallapati, William W. Cohen
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. ACL (2008)
Andrew O. Arnold, Ramesh Nallapati, William W. Cohen
A Comparative Study of Methods for Transductive Transfer Learning. ICDM Workshops (2007)
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)
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)
Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung
Multiscale topic tomography. KDD (2007)
Ramesh Nallapati, Ao Feng, Fuchun Peng, James Allan
Event threading within news topics. CIKM (2004)
Ramesh Nallapati
Discriminative models for information retrieval. SIGIR (2004)
Ramesh Nallapati
Semantic Language Models for Topic Detection and Tracking. HLT-NAACL (2003)
Ramesh Nallapati, W. Bruce Croft, James Allan
Relevant query feedback in statistical language modeling. CIKM (2003)
Ramesh Nallapati, James Allan
Capturing term dependencies using a language model based on sentence trees. CIKM (2002)