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Sujith Ravi
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2020 – today
- 2023
- [c53]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. EACL (Findings) 2023: 2044-2060 - 2022
- [j4]Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi:
Approximating 1-Wasserstein Distance with Trees. Trans. Mach. Learn. Res. 2022 (2022) - [c52]Yuki Takezawa
, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada:
Fixed Support Tree-Sliced Wasserstein Barycenter. AISTATS 2022: 1120-1137 - [i23]Makoto Yamada
, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi:
Approximating 1-Wasserstein Distance with Trees. CoRR abs/2206.12116 (2022) - 2021
- [c51]Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
ProFormer: Towards On-Device LSH Projection Based Transformers. EACL 2021: 2823-2828 - [c50]Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
On-Device Text Representations Robust To Misspellings via Projections. EACL 2021: 2871-2876 - [c49]Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer:
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL-HLT 2021: 4768-4779 - [c48]Sujith Ravi, Zornitsa Kozareva:
SoDA: On-device Conversational Slot Extraction. SIGDIAL 2021: 56-65 - [e4]Zornitsa Kozareva, Sujith Ravi, Andreas Vlachos, Priyanka Agrawal, André F. T. Martins:
Proceedings of the 5th Workshop on Structured Prediction for NLP, SPNLP@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-75-6 [contents] - [e3]Nafise Sadat Moosavi
, Iryna Gurevych, Angela Fan, Thomas Wolf, Yufang Hou, Ana Marasovic, Sujith Ravi:
Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, SustaiNLP@EMNLP 2021, Virtual, November 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-955917-01-8 [contents] - [i22]Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer:
Transductive Learning for Abstractive News Summarization. CoRR abs/2104.09500 (2021) - [i21]Hengxin Fun, Sunil Gandhi, Sujith Ravi:
Efficient Retrieval Optimized Multi-task Learning. CoRR abs/2104.10129 (2021) - [i20]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. CoRR abs/2108.02859 (2021) - [i19]Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada:
Fixed Support Tree-Sliced Wasserstein Barycenter. CoRR abs/2109.03431 (2021) - 2020
- [c47]Dorottya Demszky
, Dana Movshovitz-Attias, Jeongwoo Ko, Alan S. Cowen, Gaurav Nemade, Sujith Ravi:
GoEmotions: A Dataset of Fine-Grained Emotions. ACL 2020: 4040-4054 - [c46]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. ACL 2020: 6901-6914 - [c45]Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation. ECCV (24) 2020: 413-430 - [c44]Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Ultra Fine-Grained Image Semantic Embedding. WSDM 2020: 277-285 - [e2]Priyanka Agrawal, Zornitsa Kozareva, Julia Kreutzer, Gerasimos Lampouras, André F. T. Martins, Sujith Ravi, Andreas Vlachos:
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-83-5 [contents] - [i18]Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation. CoRR abs/2003.00443 (2020) - [i17]Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
ProFormer: Towards On-Device LSH Projection Based Transformers. CoRR abs/2004.05801 (2020) - [i16]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. CoRR abs/2005.00545 (2020) - [i15]Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan S. Cowen, Gaurav Nemade, Sujith Ravi:
GoEmotions: A Dataset of Fine-Grained Emotions. CoRR abs/2005.00547 (2020)
2010 – 2019
- 2019
- [c43]Sujith Ravi, Zornitsa Kozareva:
On-device Structured and Context Partitioned Projection Networks. ACL (1) 2019: 3784-3793 - [c42]Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum:
A2N: Attending to Neighbors for Knowledge Graph Inference. ACL (1) 2019: 4387-4392 - [c41]Krishnamurthy Viswanathan, Sushant Sachdeva, Andrew Tomkins, Sujith Ravi:
Improved Semi-Supervised Learning with Multiple Graphs. AISTATS 2019: 3032-3041 - [c40]Zornitsa Kozareva, Sujith Ravi:
ProSeqo: Projection Sequence Networks for On-Device Text Classification. EMNLP/IJCNLP (1) 2019: 3892-3901 - [c39]Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva:
PRADO: Projection Attention Networks for Document Classification On-Device. EMNLP/IJCNLP (1) 2019: 5011-5020 - [c38]Sujith Ravi:
Efficient On-Device Models using Neural Projections. ICML 2019: 5370-5379 - [c37]Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
Transferable Neural Projection Representations. NAACL-HLT (1) 2019: 3355-3360 - [c36]Otilia Stretcu, Krishnamurthy Viswanathan, Dana Movshovitz-Attias, Emmanouil A. Platanios, Sujith Ravi, Andrew Tomkins:
Graph Agreement Models for Semi-Supervised Learning. NeurIPS 2019: 8710-8720 - [c35]Chinnadhurai Sankar, Sujith Ravi:
Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes. SIGdial 2019: 1-10 - [e1]André F. T. Martins, Andreas Vlachos, Zornitsa Kozareva, Sujith Ravi, Gerasimos Lampouras, Vlad Niculae, Julia Kreutzer:
Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, Minneapolis, Minnesota, Jun 7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-10-9 [contents] - [i14]Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Natural Language Grounded Multitask Navigation. ViGIL@NeurIPS 2019 - [i13]Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Graph-RISE: Graph-Regularized Image Semantic Embedding. CoRR abs/1902.10814 (2019) - [i12]Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini:
GAP: Generalizable Approximate Graph Partitioning Framework. CoRR abs/1903.00614 (2019) - [i11]Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
Transferable Neural Projection Representations. CoRR abs/1906.01605 (2019) - [i10]Chinnadhurai Sankar, Sujith Ravi:
Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes. CoRR abs/1907.02848 (2019) - [i9]Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study. CoRR abs/1908.05763 (2019) - [i8]Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini:
Generalized Clustering by Learning to Optimize Expected Normalized Cuts. CoRR abs/1910.07623 (2019) - [i7]Gaurav Menghani, Sujith Ravi:
Learning from a Teacher using Unlabeled Data. CoRR abs/1911.05275 (2019) - 2018
- [c34]Sujith Ravi, Zornitsa Kozareva:
Self-Governing Neural Networks for On-Device Short Text Classification. EMNLP 2018: 804-810 - [c33]Sujith Ravi, Zornitsa Kozareva:
Self-Governing Neural Networks for On-Device Short Text Classification. EMNLP 2018: 887-893 - [c32]Thang D. Bui
, Sujith Ravi, Vivek Ramavajjala:
Neural Graph Learning: Training Neural Networks Using Graphs. WSDM 2018: 64-71 - [c31]Ning Ye, Ariel Fuxman, Vivek Ramavajjala, Sergey Nazarov, J. Patrick McGregor, Sujith Ravi:
PhotoReply: Automatically Suggesting Conversational Responses to Photos. WWW 2018: 1893-1899 - 2017
- [c30]Sujith Ravi:
GraML Keynote. IPDPS Workshops 2017: 1531 - [c29]Cheng Li, Michael Bendersky, Vijay Garg, Sujith Ravi:
Related Event Discovery. WSDM 2017: 355-364 - [i6]Thang D. Bui, Sujith Ravi, Vivek Ramavajjala:
Neural Graph Machines: Learning Neural Networks Using Graphs. CoRR abs/1703.04818 (2017) - [i5]Sujith Ravi:
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections. CoRR abs/1708.00630 (2017) - 2016
- [c28]Sujith Ravi, Qiming Diao:
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation. AISTATS 2016: 519-528 - [c27]Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala:
Smart Reply: Automated Response Suggestion for Email. KDD 2016: 955-964 - [c26]Justine Zhang, Ravi Kumar, Sujith Ravi, Cristian Danescu-Niculescu-Mizil:
Conversational Flow in Oxford-style Debates. HLT-NAACL 2016: 136-141 - [c25]James B. Wendt
, Michael Bendersky, Lluis Garcia Pueyo, Vanja Josifovski, Balint Miklos, Ivo Krka, Amitabh Saikia, Jie Yang, Marc-Allen Cartright, Sujith Ravi:
Hierarchical Label Propagation and Discovery for Machine Generated Email. WSDM 2016: 317-326 - [i4]Justine Zhang, Ravi Kumar, Sujith Ravi, Cristian Danescu-Niculescu-Mizil:
Conversational flow in Oxford-style debates. CoRR abs/1604.03114 (2016) - [i3]Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala:
Smart Reply: Automated Response Suggestion for Email. CoRR abs/1606.04870 (2016) - [i2]Harrie Oosterhuis, Sujith Ravi, Michael Bendersky:
Semantic Video Trailers. CoRR abs/1609.01819 (2016) - 2015
- [c24]Song Feng, Sujith Ravi, Ravi Kumar, Polina Kuznetsova, Wei Liu, Alexander C. Berg, Tamara L. Berg, Yejin Choi:
Refer-to-as Relations as Semantic Knowledge. AAAI 2015: 2160-2166 - [i1]Sujith Ravi, Qiming Diao:
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation. CoRR abs/1512.01752 (2015) - 2014
- [j3]Sujith Ravi, Sergei Vassilvitskii, Vibhor Rastogi:
Parallel Algorithms for Unsupervised Tagging. Trans. Assoc. Comput. Linguistics 2: 105-118 (2014) - [c23]Sujith Ravi, Bo Pang, Vibhor Rastogi, Ravi Kumar:
Great Question! Question Quality in Community Q&A. ICWSM 2014 - [c22]Aaron Q. Li, Amr Ahmed, Sujith Ravi, Alexander J. Smola:
Reducing the sampling complexity of topic models. KDD 2014: 891-900 - 2013
- [c21]Sujith Ravi:
Scalable Decipherment for Machine Translation via Hash Sampling. ACL (1) 2013: 362-371 - [c20]Anirban Dasgupta, Ravi Kumar, Sujith Ravi:
Summarization Through Submodularity and Dispersion. ACL (1) 2013: 1014-1022 - [c19]Vidhya Navalpakkam, LaDawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed, Alexander J. Smola:
Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts. WWW 2013: 953-964 - 2012
- [c18]Bo Pang, Sujith Ravi:
Revisiting the Predictability of Language: Response Completion in Social Media. EMNLP-CoNLL 2012: 1489-1499 - [c17]Amr Ahmed, Sujith Ravi, Shravan M. Narayanamurthy, Alexander J. Smola:
FastEx: Hash Clustering with Exponential Families. NIPS 2012: 2807-2815 - 2011
- [c16]Sujith Ravi, Kevin Knight:
Deciphering Foreign Language. ACL 2011: 12-21 - [c15]Sujith Ravi, Kevin Knight:
Bayesian Inference for Zodiac and Other Homophonic Ciphers. ACL 2011: 239-247 - [c14]Zornitsa Kozareva, Sujith Ravi:
Unsupervised Name Ambiguity Resolution Using A Generative Model. ULNLP@EMNLP 2011: 105-112 - [c13]Stephen A. Boxwell, Chris Brew, Jason Baldridge, Dennis Mehay, Sujith Ravi:
Semantic Role Labeling Without Treebanks? IJCNLP 2011: 192-200 - 2010
- [j2]Sujith Ravi, Kevin Knight:
Does GIZA++ Make Search Errors? Comput. Linguistics 36(3): 295-302 (2010) - [c12]Sujith Ravi, Jason Baldridge, Kevin Knight:
Minimized Models and Grammar-Informed Initialization for Supertagging with Highly Ambiguous Lexicons. ACL 2010: 495-503 - [c11]Sujith Ravi, Ashish Vaswani, Kevin Knight, David Chiang:
Fast, Greedy Model Minimization for Unsupervised Tagging. COLING 2010: 940-948 - [c10]David Chiang, Jonathan Graehl, Kevin Knight, Adam Pauls, Sujith Ravi:
Bayesian Inference for Finite-State Transducers. HLT-NAACL 2010: 447-455 - [c9]Sujith Ravi, Andrei Z. Broder, Evgeniy Gabrilovich
, Vanja Josifovski, Sandeep Pandey, Bo Pang:
Automatic generation of bid phrases for online advertising. WSDM 2010: 341-350
2000 – 2009
- 2009
- [j1]Sujith Ravi, Kevin Knight:
Attacking Letter Substitution Ciphers with Integer Programming. Cryptologia 33(4): 321-334 (2009) - [c8]Sujith Ravi, Kevin Knight:
Minimized Models for Unsupervised Part-of-Speech Tagging. ACL/IJCNLP 2009: 504-512 - [c7]Sujith Ravi, Kevin Knight:
Probabilistic Methods for a Japanese Syllable Cipher. ICCPOL 2009: 270-281 - [c6]Sujith Ravi, Kevin Knight:
Learning Phoneme Mappings for Transliteration without Parallel Data. HLT-NAACL 2009: 37-45 - 2008
- [c5]Sujith Ravi, Marius Pasca:
Using structured text for large-scale attribute extraction. CIKM 2008: 1183-1192 - [c4]Sujith Ravi, Kevin Knight:
Attacking Decipherment Problems Optimally with Low-Order N-gram Models. EMNLP 2008: 812-819 - [c3]Sujith Ravi, Kevin Knight, Radu Soricut:
Automatic Prediction of Parser Accuracy. EMNLP 2008: 887-896 - [c2]Jihie Kim, Erin Shaw, Sujith Ravi, Erin Tavano, Aniwat Arromratana, Pankaj Sarda:
Scaffolding On-Line Discussions with Past Discussions: An Analysis and Pilot Study of PedaBot. Intelligent Tutoring Systems 2008: 343-352 - 2007
- [c1]Sujith Ravi, Jihie Kim:
Profiling Student Interactions in Threaded Discussions with Speech Act Classifiers. AIED 2007: 357-364
Coauthor Index
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