Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Vivek Kulkarni

Vivek Kulkarni

TopicBERT for Energy Efficient Document Classification


Oct 15, 2020
Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas Runkler, Hinrich Schütze

Figure 1 for TopicBERT for Energy Efficient Document Classification
Figure 2 for TopicBERT for Energy Efficient Document Classification
Figure 3 for TopicBERT for Energy Efficient Document Classification
Figure 4 for TopicBERT for Energy Efficient Document Classification
* EMNLP2020 (Findings): 9 pages, 5 figures, 8 Tables 
  Access Paper or Ask Questions

DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions


Oct 16, 2019
Hang Jiang, Haoshen Hong, Yuxing Chen, Vivek Kulkarni

Figure 1 for DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions
Figure 2 for DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions
Figure 3 for DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions
Figure 4 for DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions
* Proceedings of the Society for Computation in Linguistics, 2020 
 * Hang Jiang, Haoshen Hong, and Yuxing Chen are equal contributors 
  Access Paper or Ask Questions

DialectGram: Automatic Detection of Dialectal Variation at Multiple Geographic Resolutions


Oct 04, 2019
Hang Jiang, Haoshen Hong, Yuxing Chen, Vivek Kulkarni

Figure 1 for DialectGram: Automatic Detection of Dialectal Variation at Multiple Geographic Resolutions
Figure 2 for DialectGram: Automatic Detection of Dialectal Variation at Multiple Geographic Resolutions
Figure 3 for DialectGram: Automatic Detection of Dialectal Variation at Multiple Geographic Resolutions
Figure 4 for DialectGram: Automatic Detection of Dialectal Variation at Multiple Geographic Resolutions
* Proceedings of the Society for Computation in Linguistics, 2020 
 * Hang Jiang, Haoshen Hong, and Yuxing Chen are equal contributors 
  Access Paper or Ask Questions

What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog


Jul 28, 2019
Pushkar Shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk, William Yang Wang

Figure 1 for What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog
Figure 2 for What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog
Figure 3 for What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog
Figure 4 for What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog
* Accepted to ACL 2019 
  Access Paper or Ask Questions

TWEETQA: A Social Media Focused Question Answering Dataset


Jul 14, 2019
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang

Figure 1 for TWEETQA: A Social Media Focused Question Answering Dataset
Figure 2 for TWEETQA: A Social Media Focused Question Answering Dataset
Figure 3 for TWEETQA: A Social Media Focused Question Answering Dataset
Figure 4 for TWEETQA: A Social Media Focused Question Answering Dataset
* ACL 2019 
  Access Paper or Ask Questions

MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings


Nov 01, 2018
Hao Yu, Vivek Kulkarni, William Wang

Figure 1 for MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Figure 2 for MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Figure 3 for MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Figure 4 for MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings

  Access Paper or Ask Questions

DOLORES: Deep Contextualized Knowledge Graph Embeddings


Oct 31, 2018
Haoyu Wang, Vivek Kulkarni, William Yang Wang

Figure 1 for DOLORES: Deep Contextualized Knowledge Graph Embeddings
Figure 2 for DOLORES: Deep Contextualized Knowledge Graph Embeddings
Figure 3 for DOLORES: Deep Contextualized Knowledge Graph Embeddings
Figure 4 for DOLORES: Deep Contextualized Knowledge Graph Embeddings
* 10 pages, 6 figures 
  Access Paper or Ask Questions

Multi-view Models for Political Ideology Detection of News Articles


Sep 10, 2018
Vivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang

Figure 1 for Multi-view Models for Political Ideology Detection of News Articles
Figure 2 for Multi-view Models for Political Ideology Detection of News Articles
Figure 3 for Multi-view Models for Political Ideology Detection of News Articles
Figure 4 for Multi-view Models for Political Ideology Detection of News Articles
* 10 pages. EMNLP 2018. Added copyright statement stating this is authors draft (also noticed and fixed issue with citation (spacing and readability)) 
  Access Paper or Ask Questions

Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media


Apr 11, 2018
Mai ElSherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, Elizabeth Belding

Figure 1 for Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
Figure 2 for Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
Figure 3 for Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
Figure 4 for Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
* 10 pages, 7 figures. ICWSM-2018 accepted 
  Access Paper or Ask Questions

Simple Models for Word Formation in English Slang


Apr 07, 2018
Vivek Kulkarni, William Yang Wang

Figure 1 for Simple Models for Word Formation in English Slang
Figure 2 for Simple Models for Word Formation in English Slang
Figure 3 for Simple Models for Word Formation in English Slang
Figure 4 for Simple Models for Word Formation in English Slang
* 10 pages, 5 figures, 6 tables. Accepted at NAACL HLT 2018 
  Access Paper or Ask Questions

TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang


Dec 22, 2017
Vivek Kulkarni, William Yang Wang

Figure 1 for TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang
Figure 2 for TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang
Figure 3 for TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang
Figure 4 for TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang
* 10 pages, 11 figures,4 tables 
  Access Paper or Ask Questions

Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach


May 22, 2017
Vivek Kulkarni, Margaret L. Kern, David Stillwell, Michal Kosinski, Sandra Matz, Lyle Ungar, Steven Skiena, H. Andrew Schwartz

Figure 1 for Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach
Figure 2 for Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach
Figure 3 for Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach
Figure 4 for Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach
* In submission to PLOS One 
  Access Paper or Ask Questions

Data Centroid Based Multi-Level Fuzzy Min-Max Neural Network


Dec 20, 2016
Shraddha Deshmukh, Sagar Gandhi, Pratap Sanap, Vivek Kulkarni

Figure 1 for Data Centroid Based Multi-Level Fuzzy Min-Max Neural Network
Figure 2 for Data Centroid Based Multi-Level Fuzzy Min-Max Neural Network
Figure 3 for Data Centroid Based Multi-Level Fuzzy Min-Max Neural Network
Figure 4 for Data Centroid Based Multi-Level Fuzzy Min-Max Neural Network
* This paper has been withdrawn by the author due to crucial evidence that the similar work has already been published 
  Access Paper or Ask Questions

Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings


Dec 01, 2016
Vivek Kulkarni, Yashar Mehdad, Troy Chevalier

Figure 1 for Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings
Figure 2 for Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings
Figure 3 for Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings
Figure 4 for Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings
* 12 pages, 3 figures, 8 tables arxiv preprint 
  Access Paper or Ask Questions

On the Convergent Properties of Word Embedding Methods


May 12, 2016
Yingtao Tian, Vivek Kulkarni, Bryan Perozzi, Steven Skiena

Figure 1 for On the Convergent Properties of Word Embedding Methods
Figure 2 for On the Convergent Properties of Word Embedding Methods
Figure 3 for On the Convergent Properties of Word Embedding Methods
Figure 4 for On the Convergent Properties of Word Embedding Methods
* RepEval @ ACL 2016 
  Access Paper or Ask Questions

Theano: A Python framework for fast computation of mathematical expressions


May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

Figure 1 for Theano: A Python framework for fast computation of mathematical expressions
Figure 2 for Theano: A Python framework for fast computation of mathematical expressions
Figure 3 for Theano: A Python framework for fast computation of mathematical expressions
Figure 4 for Theano: A Python framework for fast computation of mathematical expressions
* 19 pages, 5 figures 
  Access Paper or Ask Questions

Freshman or Fresher? Quantifying the Geographic Variation of Internet Language


Mar 07, 2016
Vivek Kulkarni, Bryan Perozzi, Steven Skiena

Figure 1 for Freshman or Fresher? Quantifying the Geographic Variation of Internet Language
Figure 2 for Freshman or Fresher? Quantifying the Geographic Variation of Internet Language
Figure 3 for Freshman or Fresher? Quantifying the Geographic Variation of Internet Language
Figure 4 for Freshman or Fresher? Quantifying the Geographic Variation of Internet Language
* 11 pages (updated submission) 
  Access Paper or Ask Questions

To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout


Mar 06, 2015
Prateek Jain, Vivek Kulkarni, Abhradeep Thakurta, Oliver Williams

Figure 1 for To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout
Figure 2 for To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout
Figure 3 for To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout
Figure 4 for To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout
* Currently under review for ICML 2015 
  Access Paper or Ask Questions

Statistically Significant Detection of Linguistic Change


Nov 12, 2014
Vivek Kulkarni, Rami Al-Rfou, Bryan Perozzi, Steven Skiena

Figure 1 for Statistically Significant Detection of Linguistic Change
Figure 2 for Statistically Significant Detection of Linguistic Change
Figure 3 for Statistically Significant Detection of Linguistic Change
Figure 4 for Statistically Significant Detection of Linguistic Change
* 11 pages, 7 figures, 4 tables 
  Access Paper or Ask Questions

POLYGLOT-NER: Massive Multilingual Named Entity Recognition


Oct 14, 2014
Rami Al-Rfou, Vivek Kulkarni, Bryan Perozzi, Steven Skiena

Figure 1 for POLYGLOT-NER: Massive Multilingual Named Entity Recognition
Figure 2 for POLYGLOT-NER: Massive Multilingual Named Entity Recognition
Figure 3 for POLYGLOT-NER: Massive Multilingual Named Entity Recognition
Figure 4 for POLYGLOT-NER: Massive Multilingual Named Entity Recognition
* 9 pages, 4 figures, 5 tables 
  Access Paper or Ask Questions

Inducing Language Networks from Continuous Space Word Representations


Jun 27, 2014
Bryan Perozzi, Rami Al-Rfou, Vivek Kulkarni, Steven Skiena

Figure 1 for Inducing Language Networks from Continuous Space Word Representations
Figure 2 for Inducing Language Networks from Continuous Space Word Representations
Figure 3 for Inducing Language Networks from Continuous Space Word Representations
Figure 4 for Inducing Language Networks from Continuous Space Word Representations
* 14 pages 
  Access Paper or Ask Questions

Exploring the power of GPU's for training Polyglot language models


Apr 15, 2014
Vivek Kulkarni, Rami Al-Rfou', Bryan Perozzi, Steven Skiena

Figure 1 for Exploring the power of GPU's for training Polyglot language models
Figure 2 for Exploring the power of GPU's for training Polyglot language models
* version 2 (just corrected citation) 
  Access Paper or Ask Questions