Ramesh Nallapati

发表

Bowen Zhou, Ramesh Nallapati, Yoshua Bengio, 2016, ACL.

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Bowen Zhou, Cícero Nogueira dos Santos, Ramesh Nallapati, 2016, CoNLL.

Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability

Ramesh Nallapati, John D. Lafferty, William W. Cohen, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Legal Docket-Entry Classification : Where Machine Learning stumbles

Christopher D. Manning, Ramesh Nallapati, 2008 .

The smoothed dirichlet distribution: understanding cross-entropy ranking in information retrieval

James Allan, Ramesh Nallapati, James Allan, 2006 .

16 Legal Claim Identification : Information Extraction with Hierarchically Labeled Data

Ramesh Nallapati, M. Surdeanu, Christopher Manning, 2010 .

Who Leads Whom : Topical Lead-Lag Analysis across Corpora

Daniel A. McFarland, Dan Jurafsky, Ramesh Nallapati, 2010 .

Elastic Machine Learning Algorithms in Amazon SageMaker

Julio Delgado, Ramesh Nallapati, Edo Liberty, 2020, SIGMOD Conference.

A moving unstructured staggered mesh method for the simulation of incompressible free-surface flows

Ramesh Nallapati, B. Perot, 2003 .

The Smoothed-Dirichlet distribution : Explaining KL-divergence based ranking in Information Retrieval

T. Minka, Ramesh Nallapati, H. Zaragoza, 2022 .

Sentence-Forest Language Model: A Graph-theoretic Framework to Capture Local Term Dependencies

James Allan, Ramesh Nallapati, 2019 .

The SESAME MED System

Murat Akbacak, Robert C. Bolles, J. Brian Burns, 2011, TRECVID.

Efficient Few-Shot Fine-Tuning for Opinion Summarization

Mohit Bansal, Ramesh Nallapati, Markus Dreyer, 2022, NAACL-HLT.

ContraGen: Effective Contrastive Learning For Causal Language Model

Wasi Uddin Ahmad, M. Tan, Bing Xiang, 2022, 2210.01185.

The Smoothed-Dirichlet Distribution: A New Building Block for Generative Topic Models

Ramesh Nallapati, Stephen Robertson, Thomas P. Minka, 2017 .

CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context

Wasi Uddin Ahmad, D. Roth, Bing Xiang, 2022, ArXiv.

ReCode: Robustness Evaluation of Code Generation Models

D. Roth, Bing Xiang, Ramesh Nallapati, 2022, ACL.

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering pdf

Ramesh Nallapati, Xiaofei Ma, Zhiguo Wang, 2019, EMNLP.

Multi-instance Multi-label Learning for Relation Extraction

Ramesh Nallapati, Mihai Surdeanu, Christopher D. Manning, 2012, EMNLP.

Classify or Select: Neural Architectures for Extractive Document Summarization pdf

Bowen Zhou, Ramesh Nallapati, Mingbo Ma, 2016, ArXiv.

Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora

Ramesh Nallapati, Christopher D. Manning, David Hall, 2009, EMNLP.

Discriminative models for information retrieval

Ramesh Nallapati, Ramesh Nallapati, 2004, SIGIR '04.

Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability

William W. Cohen, J. Lafferty, Ramesh Nallapati, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Multi-lingual Evaluation of Code Generation Models

Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Wasi Uddin Ahmad, 2022, ArXiv.

A Comparative Study of Methods for Transductive Transfer Learning

Ramesh Nallapati, William W. Cohen, Andrew Arnold, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

A Comparison of Methods for Transductive Transfer Learning

Ramesh Nallapati, William W. Cohen, Andrew Arnold, 2007 .

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion

Ramesh Nallapati, Zhiguo Wang, Bing Xiang, 2021, WWW.

Evaluating multimedia features and fusion for example-based event detection

Ramakant Nevatia, Chen Sun, Ramesh Nallapati, 2013, Machine Vision and Applications.

Evaluating multimedia features and fusion for example-based event detection

Ramakant Nevatia, Chen Sun, Ramesh Nallapati, 2013, Machine Vision and Applications.

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents pdf

Bowen Zhou, Ramesh Nallapati, Feifei Zhai, 2016, AAAI.

Improving Factual Consistency of Abstractive Summarization via Question Answering pdf

Ramesh Nallapati, Zhiguo Wang, Patrick Ng, 2021, ACL.

Transductive Learning for Abstractive News Summarization

Ramesh Nallapati, Markus Dreyer, Arthur Bravzinskas, 2021, ArXiv.

Sequence-to-Sequence RNNs for Text Summarization pdf

Bowen Zhou, Ramesh Nallapati, Bing Xiang, 2016, ArXiv.

S EQUENCE-TO-SEQUENCE RNN S FOR T EXT S UMMARIZATION

Bing Xiang, Bowen Zhou, Ramesh Nallapati, 2016 .

Classify or Select: Neural Architectures for Extractive Document Summarization

Bowen Zhou, Ramesh Nallapati, Mingbo Ma, 2016, ArXiv.

OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations

Ramesh Nallapati, Pramuditha Perera, Bing Xiang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models

William W. Cohen, E. Xing, Amr Ahmed, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Pairwise Supervised Contrastive Learning of Sentence Representations

Andrew O. Arnold, Bing Xiang, Ramesh Nallapati, 2021, EMNLP.

Entity-level Factual Consistency of Abstractive Text Summarization pdf

Ramesh Nallapati, Zhiguo Wang, Bing Xiang, 2021, EACL.

Universal Text Representation from BERT: An Empirical Study pdf

Ramesh Nallapati, Xiaofei Ma, Zhiguo Wang, 2019, ArXiv.

Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer

Ramesh Nallapati, Bing Xiang, Feng Nan, 2019, AAAI.

Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs

Ramesh Nallapati, William W. Cohen, Ramesh Nallapati, 2021, ICWSM.

Unsupervised Domain Adaptation for Cross-lingual Text Labeling

Ramesh Nallapati, Bing Xiang, Dejiao Zhang, 2020, FINDINGS.

AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature

Parminder Bhatia, Ramesh Nallapati, Bing Xiang, 2020 .

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Ramesh Nallapati, Zhiguo Wang, Patrick Ng, 2020, ACL.

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization

Andrew O. Arnold, D. Roth, M. Tan, 2022, ACL.

Multi-lingual Evaluation of Code Generation Models

Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Wasi Uddin Ahmad, 2022, ICLR.

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems pdf

Ramesh Nallapati, Patrick Ng, Bing Xiang, 2020, EMNLP.

Embedding-based Zero-shot Retrieval through Query Generation pdf

Davis Liang, Ramesh Nallapati, Bing Xiang, 2020, ArXiv.

Passage Ranking with Weak Supervsion pdf

Ramesh Nallapati, Xiaofei Ma, Bing Xiang, 2019, ArXiv.

Supporting Clustering with Contrastive Learning

Ramesh Nallapati, Bing Xiang, Dejiao Zhang, 2021, NAACL.

Joint latent topic models for text and citations

Ramesh Nallapati, Eric P. Xing, William W. Cohen, 2008, KDD.

The 2012 SESAME Multimedia Event Detection (MED) System

James A. Herson, R. Nevatia, R. Bolles, 2012, TRECVID.

Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering

Ramesh Nallapati, Zhiguo Wang, Bing Xiang, 2021, EACL.

Multiscale topic tomography

Ramesh Nallapati, John D. Lafferty, Susan Ditmore, 2007, KDD '07.

Event threading within news topics

Ramesh Nallapati, Fuchun Peng, James Allan, 2004, CIKM '04.

Topic Modeling with Wasserstein Autoencoders pdf

Feng Nan, Ramesh Nallapati, Bing Xiang, 2019, ACL.

CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context

Wasi Uddin Ahmad, D. Roth, Bing Xiang, 2022, ArXiv.

Beyond [CLS] through Ranking by Generation pdf

Ramesh Nallapati, Bing Xiang, Zhiheng Huang, 2020, EMNLP.

Domain Adaptation with BERT-based Domain Classification and Data Selection

Ramesh Nallapati, Peng Xu, Zhiguo Wang, 2019, EMNLP.

Capturing term dependencies using a language model based on sentence trees

James Allan, Ramesh Nallapati, James Allan, 2002, CIKM '02.

Exploring Continual Learning for Code Generation Models

M. Tan, Bing Xiang, Mohit Bansal, 2023, ACL.

TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents

Ramesh Nallapati, Christopher D. Manning, Daniel A. McFarland, 2011, AISTATS.

LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets

Jure Leskovec, Ramesh Nallapati, Daniel Jurafsky, 2011, ICWSM.

Who Leads Whom : Topical Lead-Lag Analysis across Corpora

Daniel A. McFarland, Dan Jurafsky, Ramesh Nallapati, 2010 .

Blind Domain Transfer for Named Entity Recognition using Generative Latent Topic Models

Ramesh Nallapati, Mihai Surdeanu, Ramesh Nallapati, 2010 .

Legal Docket Classification: Where Machine Learning Stumbles

Ramesh Nallapati, Christopher D. Manning, Ramesh Nallapati, 2008, EMNLP.

2 Language Modeling

Ramesh Nallapati, 2007 .

2 past Research: Information Retrieval Models

Ramesh Nallapati, 2007 .

Capturing Term Dependencies using a Sentence Tree based Language Model

James Allan, Ramesh Nallapati, James Allan, 2002 .

Relevant query feedback in statistical language modeling

James Allan, W. Bruce Croft, Ramesh Nallapati, 2003, CIKM '03.

Joint question clustering and relevance prediction for open domain non-factoid question answering

Ramesh Nallapati, Snigdha Chaturvedi, Hema Raghavan, 2014, WWW.

WEAKLY SEMI-SUPERVISED NEURAL TOPIC MODELS

Feng Nan, Ramesh Nallapati, Bing Xiang, 2019 .

Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition

Ramesh Nallapati, William W. Cohen, Andrew Arnold, 2008, ACL.

Evaluating multimedia features and fusion for example-based event detection

Julien van Hout, Cees G. M. Snoek, Gregory K. Myers, 2013, Machine Vision and Applications.

Evaluating the Quality of Query Refinement Suggestions in Information Retrieval

Ramesh Nallapati, Chirag Shah, Ramesh Nallapati, 2006 .

UMass at TDT 2002

James Allan, Ramesh Nallapati, Victor Lavrenko, 2002 .

CorrActive Learning: Learning from Noisy Data through Human Interaction

Ramesh Nallapati, Mihai Surdeanu, Christopher D. Manning, 2009 .

Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation

Ramesh Nallapati, Y. Li, Dejiao Zhang, 2023, ACL.

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

Wasi Uddin Ahmad, Ramesh Nallapati, Yangruibo Ding, 2023, ArXiv.

ContraCLM: Contrastive Learning For Causal Language Model

Wasi Uddin Ahmad, Bing Xiang, Ramesh Nallapati, 2022, ACL.

Risk analysis for intellectual property litigation

Ramesh Nallapati, Mihai Surdeanu, Christopher D. Manning, 2011, ICAIL.

An Adaptive Local Dependency Language Model: Relaxing the NaBayes' Assumption

James Allan, Ramesh Nallapati, James Allan, 2003 .

Joint latent topic models for text and citations

William W. Cohen, E. Xing, Amr Ahmed, 2008, KDD.

Coherence-Aware Neural Topic Modeling pdf

Ramesh Nallapati, Bing Xiang, Ran Ding, 2018, EMNLP.

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding

Philip S. Yu, Andrew O. Arnold, C. D. Santos, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction

Ramesh Nallapati, Zhiguo Wang, Patrick Ng, 2020, ACL.