Sujith Ravi

According to our database1, Sujith Ravi authored at least 68 papers between 2007 and 2023.

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Bibliography

2023
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Approximating 1-Wasserstein Distance with Trees.
Trans. Mach. Learn. Res., 2022

Fixed Support Tree-Sliced Wasserstein Barycenter.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints.
CoRR, 2021

Efficient Retrieval Optimized Multi-task Learning.
CoRR, 2021

Transductive Learning for Abstractive News Summarization.
CoRR, 2021

SoDA: On-device Conversational Slot Extraction.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

On-Device Text Representations Robust To Misspellings via Projections.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

ProFormer: Towards On-Device LSH Projection Based Transformers.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Ultra Fine-Grained Image Semantic Embedding.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation.
Proceedings of the Computer Vision - ECCV 2020, 2020

GoEmotions: A Dataset of Fine-Grained Emotions.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Low-Dimensional Hyperbolic Knowledge Graph Embeddings.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Learning from a Teacher using Unlabeled Data.
CoRR, 2019

Generalized Clustering by Learning to Optimize Expected Normalized Cuts.
CoRR, 2019

On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study.
CoRR, 2019

GAP: Generalizable Approximate Graph Partitioning Framework.
CoRR, 2019

Graph-RISE: Graph-Regularized Image Semantic Embedding.
CoRR, 2019

Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes.
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Natural Language Grounded Multitask Navigation.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Graph Agreement Models for Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Transferable Neural Projection Representations.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Efficient On-Device Models using Neural Projections.
Proceedings of the 36th International Conference on Machine Learning, 2019

PRADO: Projection Attention Networks for Document Classification On-Device.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

ProSeqo: Projection Sequence Networks for On-Device Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improved Semi-Supervised Learning with Multiple Graphs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

On-device Structured and Context Partitioned Projection Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A2N: Attending to Neighbors for Knowledge Graph Inference.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
PhotoReply: Automatically Suggesting Conversational Responses to Photos.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Neural Graph Learning: Training Neural Networks Using Graphs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Self-Governing Neural Networks for On-Device Short Text Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections.
CoRR, 2017

Neural Graph Machines: Learning Neural Networks Using Graphs.
CoRR, 2017

Related Event Discovery.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

GraML Keynote.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016
Semantic Video Trailers.
CoRR, 2016

Hierarchical Label Propagation and Discovery for Machine Generated Email.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Conversational Flow in Oxford-style Debates.
Proceedings of the NAACL HLT 2016, 2016

Smart Reply: Automated Response Suggestion for Email.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Refer-to-as Relations as Semantic Knowledge.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Parallel Algorithms for Unsupervised Tagging.
Trans. Assoc. Comput. Linguistics, 2014

Reducing the sampling complexity of topic models.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Great Question! Question Quality in Community Q&A.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

2013
Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts.
Proceedings of the 22nd International World Wide Web Conference, 2013

Scalable Decipherment for Machine Translation via Hash Sampling.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Summarization Through Submodularity and Dispersion.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
FastEx: Hash Clustering with Exponential Families.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Revisiting the Predictability of Language: Response Completion in Social Media.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Semantic Role Labeling Without Treebanks?
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Unsupervised Name Ambiguity Resolution Using A Generative Model.
Proceedings of the First workshop on Unsupervised Learning in NLP@EMNLP 2011, 2011

Bayesian Inference for Zodiac and Other Homophonic Ciphers.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Deciphering Foreign Language.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Does GIZA++ Make Search Errors?
Comput. Linguistics, 2010

Automatic generation of bid phrases for online advertising.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Bayesian Inference for Finite-State Transducers.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Fast, Greedy Model Minimization for Unsupervised Tagging.
Proceedings of the COLING 2010, 2010

Minimized Models and Grammar-Informed Initialization for Supertagging with Highly Ambiguous Lexicons.
Proceedings of the ACL 2010, 2010

2009
Attacking Letter Substitution Ciphers with Integer Programming.
Cryptologia, 2009

Learning Phoneme Mappings for Transliteration without Parallel Data.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Probabilistic Methods for a Japanese Syllable Cipher.
Proceedings of the Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy, 2009

Minimized Models for Unsupervised Part-of-Speech Tagging.
Proceedings of the ACL 2009, 2009

2008
Scaffolding On-Line Discussions with Past Discussions: An Analysis and Pilot Study of PedaBot.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

Automatic Prediction of Parser Accuracy.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Attacking Decipherment Problems Optimally with Low-Order N-gram Models.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Using structured text for large-scale attribute extraction.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Profiling Student Interactions in Threaded Discussions with Speech Act Classifiers.
Proceedings of the Artificial Intelligence in Education, 2007


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