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2020 – today
- 2023
[j8]Archit Rathore
, Yichu Zhou, Vivek Srikumar, Bei Wang:
TopoBERT: Exploring the topology of fine-tuned word representations. Inf. Vis. 22(3): 186-208 (2023)- [c65]Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith:
Elaboration-Generating Commonsense Question Answering at Scale. ACL (1) 2023: 1619-1635 - [c64]Maitrey Mehta, Vivek Srikumar:
Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS. ACL (Findings) 2023: 10941-10958 - [c63]Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula:
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. ACL (1) 2023: 11253-11271 - [c62]Mattia Medina Grespan, Meghan Broadbent, Xinyao Zhang, Katherine Axford, Brent Kious, Zac E. Imel, Vivek Srikumar:
Logic-driven Indirect Supervision: An Application to Crisis Counseling. ACL (1) 2023: 11704-11722 - [c61]Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar:
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text. ACL (1) 2023: 13981-13998 - [c60]Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi:
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. ICLR 2023 - [i41]Zhenduo Wang, Zhichao Xu, Qingyao Ai, Vivek Srikumar:
An In-depth Investigation of User Response Simulation for Conversational Search. CoRR abs/2304.07944 (2023) - [i40]Tao Li, Ghazaleh Kazeminejad, Susan Windisch Brown, Martha Palmer, Vivek Srikumar:
Learning Semantic Role Labeling from Compatible Label Sequences. CoRR abs/2305.14600 (2023) - [i39]Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar:
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text. CoRR abs/2305.16444 (2023) - [i38]Vivek Srikumar, Dan Roth:
The Integer Linear Programming Inference Cookbook. CoRR abs/2307.00171 (2023) - 2022
- [j7]Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Kumar Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. Trans. Assoc. Comput. Linguistics 10: 659-679 (2022) - [c59]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
PYLON: A PyTorch Framework for Learning with Constraints. AAAI 2022: 13152-13154 - [c58]Yichu Zhou, Vivek Srikumar:
A Closer Look at How Fine-tuning Changes BERT. ACL (1) 2022: 1046-1061 - [c57]Vivek Gupta, Shuo Zhang, Alakananda Vempala, Yujie He, Temma Choji, Vivek Srikumar:
Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning. ACL (1) 2022: 3268-3283 - [i37]Wenya Wang, Vivek Srikumar, Hanna Hajishirzi, Noah A. Smith:
Elaboration-Generating Commonsense Question Answering at Scale. CoRR abs/2209.01232 (2022) - [i36]Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi:
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization. CoRR abs/2212.00921 (2022) - [i35]Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula:
Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. CoRR abs/2212.10409 (2022) - 2021
- [j6]Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar:
Database Workload Characterization with Query Plan Encoders. Proc. VLDB Endow. 15(4): 923-935 (2021) - [j5]Jakob Prange, Nathan Schneider, Vivek Srikumar:
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories. Trans. Assoc. Comput. Linguistics 9: 243-260 (2021) - [c56]Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar:
BERT & Family Eat Word Salad: Experiments with Text Understanding. AAAI 2021: 12946-12954 - [c55]Ashim Gupta, Vivek Srikumar:
X-Fact: A New Benchmark Dataset for Multilingual Fact Checking. ACL/IJCNLP (2) 2021: 675-682 - [c54]Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. EMNLP (1) 2021: 5034-5050 - [c53]Taelin Karidi, Yichu Zhou, Nathan Schneider, Omri Abend, Vivek Srikumar:
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords. EMNLP (1) 2021: 10300-10313 - [c52]Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar:
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. IJCAI 2021: 2812-2818 - [c51]Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang:
A Visual Tour of Bias Mitigation Techniques for Word Representations. KDD 2021: 4064-4065 - [c50]J. Neeraja, Vivek Gupta, Vivek Srikumar:
Incorporating External Knowledge to Enhance Tabular Reasoning. NAACL-HLT 2021: 2799-2809 - [c49]Yichu Zhou, Vivek Srikumar:
DirectProbe: Studying Representations without Classifiers. NAACL-HLT 2021: 5070-5083 - [c48]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
Pylon: A PyTorch Framework for Learning with Constraints. NeurIPS (Competition and Demos) 2021: 319-324 - [c47]Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang:
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. NeurIPS (Competition and Demos) 2021: 330-335 - [i34]Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar:
BERT & Family Eat Word Salad: Experiments with Text Understanding. CoRR abs/2101.03453 (2021) - [i33]Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang:
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. CoRR abs/2104.02797 (2021) - [i32]J. Neeraja, Vivek Gupta, Vivek Srikumar:
Incorporating External Knowledge to Enhance Tabular Reasoning. CoRR abs/2104.04243 (2021) - [i31]Yichu Zhou, Vivek Srikumar:
DirectProbe: Studying Representations without Classifiers. CoRR abs/2104.05904 (2021) - [i30]Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar:
Database Workload Characterization with Query Plan Encoders. CoRR abs/2105.12287 (2021) - [i29]Ashim Gupta, Vivek Srikumar:
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking. CoRR abs/2106.09248 (2021) - [i28]Yichu Zhou, Vivek Srikumar:
A Closer Look at How Fine-tuning Changes BERT. CoRR abs/2106.14282 (2021) - [i27]Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar:
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. CoRR abs/2107.13646 (2021) - [i26]Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Srivastava, Maneesh Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. CoRR abs/2108.00578 (2021) - [i25]Taelin Karidi, Yichu Zhou, Nathan Schneider, Omri Abend, Vivek Srikumar:
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords. CoRR abs/2109.11491 (2021) - [i24]Ricardo Bigolin Lanfredi, Mingyuan Zhang, William F. Auffermann, Jessica Chan, Phuong-Anh T. Duong, Vivek Srikumar, Trafton Drew, Joyce D. Schroeder, Tolga Tasdizen:
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays. CoRR abs/2109.14187 (2021) - 2020
- [c46]Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
On Measuring and Mitigating Biased Inferences of Word Embeddings. AAAI 2020: 7659-7666 - [c45]Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar:
INFOTABS: Inference on Tables as Semi-structured Data. ACL 2020: 2309-2324 - [c44]Xingyuan Pan, Maitrey Mehta, Vivek Srikumar:
Learning Constraints for Structured Prediction Using Rectifier Networks. ACL 2020: 4843-4858 - [c43]Tao Li, Parth Anand Jawale, Martha Palmer, Vivek Srikumar:
Structured Tuning for Semantic Role Labeling. ACL 2020: 8402-8412 - [c42]Aakanksha Saha, Tamara Denning, Vivek Srikumar, Sneha Kumar Kasera:
Secrets in Source Code: Reducing False Positives using Machine Learning. COMSNETS 2020: 168-175 - [c41]Tao Li, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Vivek Srikumar:
UNQOVERing Stereotypical Biases via Underspecified Questions. EMNLP (Findings) 2020: 3475-3489 - [i23]Tao Li, Parth Anand Jawale, Martha Palmer, Vivek Srikumar:
Structured Tuning for Semantic Role Labeling. CoRR abs/2005.00496 (2020) - [i22]Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar:
INFOTABS: Inference on Tables as Semi-structured Data. CoRR abs/2005.06117 (2020) - [i21]Xingyuan Pan, Maitrey Mehta, Vivek Srikumar:
Learning Constraints for Structured Prediction Using Rectifier Networks. CoRR abs/2006.01209 (2020) - [i20]Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. CoRR abs/2007.00049 (2020) - [i19]Yichu Zhou, Omri Koshorek, Vivek Srikumar, Jonathan Berant:
A Simple Global Neural Discourse Parser. CoRR abs/2009.01312 (2020) - [i18]Tao Li, Tushar Khot, Daniel Khashabi, Ashish Sabharwal, Vivek Srikumar:
UnQovering Stereotyping Biases via Underspecified Questions. CoRR abs/2010.02428 (2020) - [i17]Jakob Prange, Nathan Schneider, Vivek Srikumar:
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories. CoRR abs/2012.01285 (2020)
2010 – 2019
- 2019
- [j4]Shusen Liu, Zhimin Li, Tao Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer:
NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models. IEEE Trans. Vis. Comput. Graph. 25(1): 651-660 (2019) - [c40]Tao Li, Vivek Srikumar:
Augmenting Neural Networks with First-order Logic. ACL (1) 2019: 292-302 - [c39]Jie Cao, Michael Tanana, Zac E. Imel, Eric Poitras, David C. Atkins, Vivek Srikumar:
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes. ACL (1) 2019: 5599-5611 - [c38]Jie Cao, Yi Zhang, Adel Youssef, Vivek Srikumar:
Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring. CoNLL Shared Task 2019: 138-148 - [c37]Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant:
On the Limits of Learning to Actively Learn Semantic Representations. CoNLL 2019: 452-462 - [c36]Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar:
A Logic-Driven Framework for Consistency of Neural Models. EMNLP/IJCNLP (1) 2019: 3922-3933 - [c35]Yichu Zhou, Vivek Srikumar:
Beyond Context: A New Perspective for Word Embeddings. *SEM@NAACL-HLT 2019: 22-32 - [i16]Annie Cherkaev, Waiming Tai, Jeff M. Phillips, Vivek Srikumar:
Learning In Practice: Reasoning About Quantization. CoRR abs/1905.11478 (2019) - [i15]Tao Li, Vivek Srikumar:
Augmenting Neural Networks with First-order Logic. CoRR abs/1906.06298 (2019) - [i14]Jie Cao, Michael Tanana, Zac E. Imel, Eric Poitras, David C. Atkins, Vivek Srikumar:
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes. CoRR abs/1907.00326 (2019) - [i13]Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
On Measuring and Mitigating Biased Inferences of Word Embeddings. CoRR abs/1908.09369 (2019) - [i12]Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar:
A Logic-Driven Framework for Consistency of Neural Models. CoRR abs/1909.00126 (2019) - [i11]Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant:
On the Limits of Learning to Actively Learn Semantic Representations. CoRR abs/1910.02228 (2019) - 2018
- [j3]Anirban Nag, Rajeev Balasubramonian, Vivek Srikumar, Ross Walker, Ali Shafiee, John Paul Strachan, Naveen Muralimanohar:
Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration. IEEE Micro 38(5): 41-49 (2018) - [j2]Shusen Liu, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Vivek Srikumar, Bei Wang, Yarden Livnat, Valerio Pascucci:
Visual Exploration of Semantic Relationships in Neural Word Embeddings. IEEE Trans. Vis. Comput. Graph. 24(1): 553-562 (2018) - [c34]Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, Omri Abend:
Comprehensive Supersense Disambiguation of English Prepositions and Possessives. ACL (1) 2018: 185-196 - [c33]Shusen Liu, Tao Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer:
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension. EMNLP (Demonstration) 2018: 36-41 - [c32]Xingyuan Pan, Vivek Srikumar:
Learning to Speed Up Structured Output Prediction. ICML 2018: 3993-4002 - [c31]Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth:
CogCompNLP: Your Swiss Army Knife for NLP. LREC 2018 - [i10]Anirban Nag, Ali Shafiee, Rajeev Balasubramonian, Vivek Srikumar, Naveen Muralimanohar:
Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration. CoRR abs/1803.06913 (2018) - [i9]Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, Omri Abend:
Comprehensive Supersense Disambiguation of English Prepositions and Possessives. CoRR abs/1805.04905 (2018) - [i8]Xingyuan Pan, Vivek Srikumar:
Learning to Speed Up Structured Output Prediction. CoRR abs/1806.04245 (2018) - 2017
- [c30]Vivek Srikumar:
An Algebra for Feature Extraction. ACL (1) 2017: 1891-1900 - [c29]Min Du, Feifei Li, Guineng Zheng, Vivek Srikumar:
DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning. CCS 2017: 1285-1298 - [c28]Jena D. Hwang, Archna Bhatia, Na-Rae Han, Tim O'Gorman, Vivek Srikumar, Nathan Schneider:
Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions. *SEM 2017: 178-188 - [e2]Kai-Wei Chang, Ming-Wei Chang, Vivek Srikumar, Alexander M. Rush:
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-93-7 [contents] - [i7]Jena D. Hwang, Archna Bhatia, Na-Rae Han, Tim O'Gorman, Vivek Srikumar, Nathan Schneider:
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions. CoRR abs/1703.03771 (2017) - [i6]Nathan Schneider, Jena D. Hwang, Archna Bhatia, Na-Rae Han, Vivek Srikumar, Tim O'Gorman, Omri Abend:
Adposition Supersenses v2. CoRR abs/1704.02134 (2017) - 2016
- [c27]Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Meredith Green, Abhijit Suresh, Kathryn Conger, Tim O'Gorman, Martha Palmer:
A Corpus of Preposition Supersenses. LAW@ACL 2016 - [c26]Tao Li, Vivek Srikumar:
Exploiting Sentence Similarities for Better Alignments. EMNLP 2016: 2193-2203 - [c25]Xingyuan Pan, Vivek Srikumar:
Expressiveness of Rectifier Networks. ICML 2016: 2427-2435 - [c24]Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, Vivek Srikumar:
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars. ISCA 2016: 14-26 - [c23]Mark Sammons, Christos Christodoulopoulos, Parisa Kordjamshidi, Daniel Khashabi, Vivek Srikumar, Dan Roth:
EDISON: Feature Extraction for NLP, Simplified. LREC 2016 - [c22]Michael Tanana, Aaron Dembe, Christina Soma, Zac E. Imel, David C. Atkins, Vivek Srikumar:
Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database. CLPsych@HLT-NAACL 2016: 33-41 - [c21]John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb:
Continuous Kernel Learning. ECML/PKDD (2) 2016: 657-673 - [e1]Kai-Wei Chang, Ming-Wei Chang, Alexander M. Rush, Vivek Srikumar:
Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-29-6 [contents] - [i5]Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Meredith Green, Kathryn Conger, Tim O'Gorman, Martha Palmer:
A corpus of preposition supersenses in English web reviews. CoRR abs/1605.02257 (2016) - 2015
- [c20]Nathan Schneider, Vivek Srikumar, Jena D. Hwang, Martha Palmer:
A Hierarchy with, of, and for Preposition Supersenses. LAW@NAACL-HLT 2015: 112-123 - [c19]Nina McCurdy, Vivek Srikumar, Miriah D. Meyer:
RhymeDesign: A Tool for Analyzing Sonic Devices in Poetry. CLfL@NAACL-HLT 2015: 12-22 - [c18]Michael Tanana, Kevin Hallgren, Zac E. Imel, David C. Atkins, Padhraic Smyth, Vivek Srikumar:
Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing. CLPsych@HLT-NAACL 2015: 71-79 - [i4]Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth:
IllinoisSL: A JAVA Library for Structured Prediction. CoRR abs/1509.07179 (2015) - [i3]Xingyuan Pan, Vivek Srikumar:
Expressiveness of Rectifier Networks. CoRR abs/1511.05678 (2015) - 2014
- [c17]Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner:
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. StarAI@AAAI 2014 - [c16]Alla Rozovskaya, Dan Roth, Vivek Srikumar:
Correcting Grammatical Verb Errors. EACL 2014: 358-367 - [c15]Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D. Manning:
Modeling Biological Processes for Reading Comprehension. EMNLP 2014 - [c14]Vivek Srikumar, Christopher D. Manning:
Learning Distributed Representations for Structured Output Prediction. NIPS 2014: 3266-3274 - 2013
- [j1]Vivek Srikumar, Dan Roth:
Modeling Semantic Relations Expressed by Prepositions. Trans. Assoc. Comput. Linguistics 1: 231-242 (2013) - [c13]Gourab Kundu, Vivek Srikumar, Dan Roth:
Margin-based Decomposed Amortized Inference. ACL (1) 2013: 905-913 - [c12]Kai-Wei Chang, Vivek Srikumar, Dan Roth:
Multi-core Structural SVM Training. ECML/PKDD (2) 2013: 401-416 - [i2]Vivek Srikumar, Dan Roth:
An Inventory of Preposition Relations. CoRR abs/1305.5785 (2013) - 2012
- [c11]Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem:
Learning shared body plans. CVPR 2012: 3130-3137 - [c10]Vivek Srikumar, Gourab Kundu, Dan Roth:
On Amortizing Inference Cost for Structured Prediction. EMNLP-CoNLL 2012: 1114-1124 - [c9]James Clarke, Vivek Srikumar, Mark Sammons, Dan Roth:
An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines). LREC 2012: 3276-3283 - [c8]Dan Goldwasser, Vivek Srikumar, Dan Roth:
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. HLT-NAACL 2012 - 2011
- [c7]Vivek Srikumar, Dan Roth:
A Joint Model for Extended Semantic Role Labeling. EMNLP 2011: 129-139 - [c6]Ming-Wei Chang, James Clarke, Dan Goldwasser, Lev-Arie Ratinov, Vivek Srikumar, Dan Roth:
Structured prediction with indirect supervision. MLSLP 2011 - 2010
- [c5]Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth:
Structured Output Learning with Indirect Supervision. ICML 2010: 199-206 - [c4]Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar:
Discriminative Learning over Constrained Latent Representations. HLT-NAACL 2010: 429-437
2000 – 2009
- 2009
- [i1]Mark Sammons, V. G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua S. Rule, Quang Do, Dan Roth:
Relation Alignment for Textual Entailment Recognition. TAC 2009 - 2008
- [c3]Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Srikumar:
Proactive Intrusion Detection. AAAI 2008: 772-777 - [c2]Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar:
Importance of Semantic Representation: Dataless Classification. AAAI 2008: 830-835 - [c1]Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Rappoport, Dan Roth:
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution. ACL 2008: 1030-1038
Coauthor Index