Vivek Srikumar

According to our database, Vivek Srikumar authored at least 96 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations.

Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang

ACM Trans. Interact. Intell. Syst., March, 2024

In-Context Example Ordering Guided by Label Distributions.

Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar

CoRR, 2024

Promptly Predicting Structures: The Return of Inference.

Maitrey Mehta, Valentina Pyatkin, Vivek Srikumar

CoRR, 2024

2023

TopoBERT: Exploring the topology of fine-tuned word representations.

Archit Rathore, Yichu Zhou, Vivek Srikumar, Bei Wang

Inf. Vis., July, 2023

Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness.

Ashim Gupta, Rishanth Rajendhran, Nathan Stringham, Vivek Srikumar, Ana Marasovic

CoRR, 2023

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals.

Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith

CoRR, 2023

The Integer Linear Programming Inference Cookbook.

Vivek Srikumar, Dan Roth

CoRR, 2023

An In-depth Investigation of User Response Simulation for Conversational Search.

Zhenduo Wang, Zhichao Xu, Qingyao Ai, Vivek Srikumar

CoRR, 2023

AGRO: Adversarial discovery of error-prone Groups for Robust Optimization.

Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Semantic Role Labeling from Compatible Label Sequences.

Tao Li, Ghazaleh Kazeminejad, Susan Windisch Brown, Vivek Srikumar, Martha Palmer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TempTabQA: Temporal Question Answering for Semi-Structured Tables.

Vivek Gupta, Pranshu Kandoi, Mahek Bhavesh Vora, Shuo Zhang, Yujie He, Ridho Reinanda, Vivek Srikumar

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

METAPROBE: A Representation- and Task-Agnostic Probe.

Yichu Zhou, Vivek Srikumar

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Elaboration-Generating Commonsense Question Answering at Scale.

Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations.

Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS.

Maitrey Mehta, Vivek Srikumar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text.

Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Logic-driven Indirect Supervision: An Application to Crisis Counseling.

Mattia Medina Grespan, Meghan Broadbent, Xinyao Zhang, Katherine Axford, Brent Kious, Zac E. Imel, Vivek Srikumar

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning.

Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Kumar Singh, Vivek Srikumar

Trans. Assoc. Comput. Linguistics, 2022

Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations.

Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula

CoRR, 2022

A Closer Look at How Fine-tuning Changes BERT.

Yichu Zhou, Vivek Srikumar

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning.

Vivek Gupta, Shuo Zhang, Alakananda Vempala, Yujie He, Temma Choji, Vivek Srikumar

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

PYLON: A PyTorch Framework for Learning with Constraints.

Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories.

Jakob Prange, Nathan Schneider, Vivek Srikumar

Trans. Assoc. Comput. Linguistics, 2021

Database Workload Characterization with Query Plan Encoders.

Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar

Proc. VLDB Endow., 2021

REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays.

Ricardo Bigolin Lanfredi, Mingyuan Zhang, William F. Auffermann, Jessica Chan, Phuong-Anh T. Duong, Vivek Srikumar, Trafton Drew, Joyce D. Schroeder, Tolga Tasdizen

CoRR, 2021

VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations.

Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang

CoRR, 2021

An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective.

Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

DirectProbe: Studying Representations without Classifiers.

Yichu Zhou, Vivek Srikumar

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Incorporating External Knowledge to Enhance Tabular Reasoning.

J. Neeraja, Vivek Gupta, Vivek Srikumar

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Visual Tour of Bias Mitigation Techniques for Word Representations.

Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study.

Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords.

Taelin Karidi, Yichu Zhou, Nathan Schneider, Omri Abend, Vivek Srikumar

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings.

Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

X-Fact: A New Benchmark Dataset for Multilingual Fact Checking.

Ashim Gupta, Vivek Srikumar

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

BERT & Family Eat Word Salad: Experiments with Text Understanding.

Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

UnQovering Stereotyping Biases via Underspecified Questions.

Tao Li, Tushar Khot, Daniel Khashabi, Ashish Sabharwal, Vivek Srikumar

CoRR, 2020

A Simple Global Neural Discourse Parser.

Yichu Zhou, Omri Koshorek, Vivek Srikumar, Jonathan Berant

CoRR, 2020

UNQOVERing Stereotypical Biases via Underspecified Questions.

Tao Li, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Vivek Srikumar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Secrets in Source Code: Reducing False Positives using Machine Learning.

Aakanksha Saha, Tamara Denning, Vivek Srikumar, Sneha Kumar Kasera

Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

Learning Constraints for Structured Prediction Using Rectifier Networks.

Xingyuan Pan, Maitrey Mehta, Vivek Srikumar

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Structured Tuning for Semantic Role Labeling.

Tao Li, Parth Anand Jawale, Martha Palmer, Vivek Srikumar

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

INFOTABS: Inference on Tables as Semi-structured Data.

Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

On Measuring and Mitigating Biased Inferences of Word Embeddings.

Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models.

Shusen Liu, Zhimin Li, Tao Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer

IEEE Trans. Vis. Comput. Graph., 2019

Learning In Practice: Reasoning About Quantization.

Annie Cherkaev, Waiming Tai, Jeff M. Phillips, Vivek Srikumar

CoRR, 2019

Beyond Context: A New Perspective for Word Embeddings.

Yichu Zhou, Vivek Srikumar

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

A Logic-Driven Framework for Consistency of Neural Models.

Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

On the Limits of Learning to Actively Learn Semantic Representations.

Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring.

Jie Cao, Yi Zhang, Adel Youssef, Vivek Srikumar

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 2019

Augmenting Neural Networks with First-order Logic.

Tao Li, Vivek Srikumar

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes.

Jie Cao, Michael Tanana, Zac E. Imel, Eric Poitras, David C. Atkins, Vivek Srikumar

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Visual Exploration of Semantic Relationships in Neural Word Embeddings.

Shusen Liu, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Vivek Srikumar, Bei Wang, Yarden Livnat, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2018

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration.

Anirban Nag, Rajeev Balasubramonian, Vivek Srikumar, Ross Walker, Ali Shafiee, John Paul Strachan, Naveen Muralimanohar

IEEE Micro, 2018

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration.

Anirban Nag, Ali Shafiee, Rajeev Balasubramonian, Vivek Srikumar, Naveen Muralimanohar

CoRR, 2018

CogCompNLP: Your Swiss Army Knife for NLP.

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

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Learning to Speed Up Structured Output Prediction.

Xingyuan Pan, Vivek Srikumar

Proceedings of the 35th International Conference on Machine Learning, 2018

Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension.

Shusen Liu, Tao Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Comprehensive Supersense Disambiguation of English Prepositions and Possessives.

Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, Omri Abend

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Adposition Supersenses v2.

Nathan Schneider, Jena D. Hwang, Archna Bhatia, Na-Rae Han, Vivek Srikumar, Tim O'Gorman, Omri Abend

CoRR, 2017

Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions.

Jena D. Hwang, Archna Bhatia, Na-Rae Han, Tim O'Gorman, Vivek Srikumar, Nathan Schneider

CoRR, 2017

Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions.

Jena D. Hwang, Archna Bhatia, Na-Rae Han, Tim O'Gorman, Vivek Srikumar, Nathan Schneider

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning.

Min Du, Feifei Li, Guineng Zheng, Vivek Srikumar

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

An Algebra for Feature Extraction.

Vivek Srikumar

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

A corpus of preposition supersenses in English web reviews.

Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Meredith Green, Kathryn Conger, Tim O'Gorman, Martha Palmer

CoRR, 2016

Continuous Kernel Learning.

John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database.

Michael Tanana, Aaron Dembe, Christina Soma, Zac E. Imel, David C. Atkins, Vivek Srikumar

Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016

EDISON: Feature Extraction for NLP, Simplified.

Mark Sammons, Christos Christodoulopoulos, Parisa Kordjamshidi, Daniel Khashabi, Vivek Srikumar, Dan Roth

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars.

Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, Vivek Srikumar

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Expressiveness of Rectifier Networks.

Xingyuan Pan, Vivek Srikumar

Proceedings of the 33nd International Conference on Machine Learning, 2016

Exploiting Sentence Similarities for Better Alignments.

Tao Li, Vivek Srikumar

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Corpus of Preposition Supersenses.

Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Meredith Green, Abhijit Suresh, Kathryn Conger, Tim O'Gorman, Martha Palmer

Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016, 2016

2015

IllinoisSL: A JAVA Library for Structured Prediction.

Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth

CoRR, 2015

Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing.

Michael Tanana, Kevin Hallgren, Zac E. Imel, David C. Atkins, Padhraic Smyth, Vivek Srikumar

Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

RhymeDesign: A Tool for Analyzing Sonic Devices in Poetry.

Nina McCurdy, Vivek Srikumar, Miriah D. Meyer

Proceedings of the Fourth Workshop on Computational Linguistics for Literature, 2015

A Hierarchy with, of, and for Preposition Supersenses.

Nathan Schneider, Vivek Srikumar, Jena D. Hwang, Martha Palmer

Proceedings of The 9th Linguistic Annotation Workshop, 2015

2014

Learning Distributed Representations for Structured Output Prediction.

Vivek Srikumar, Christopher D. Manning

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Modeling Biological Processes for Reading Comprehension.

Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D. Manning

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Correcting Grammatical Verb Errors.

Alla Rozovskaya, Dan Roth, Vivek Srikumar

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming.

Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner

Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013

The semantics of role labeling

Vivek Srikumar

PhD thesis, 2013

Modeling Semantic Relations Expressed by Prepositions.

Vivek Srikumar, Dan Roth

Trans. Assoc. Comput. Linguistics, 2013

An Inventory of Preposition Relations

Vivek Srikumar, Dan Roth

CoRR, 2013

Multi-core Structural SVM Training.

Kai-Wei Chang, Vivek Srikumar, Dan Roth

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Margin-based Decomposed Amortized Inference.

Gourab Kundu, Vivek Srikumar, Dan Roth

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP.

Dan Goldwasser, Vivek Srikumar, Dan Roth

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines).

James Clarke, Vivek Srikumar, Mark Sammons, Dan Roth

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

On Amortizing Inference Cost for Structured Prediction.

Vivek Srikumar, Gourab Kundu, Dan Roth

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Learning shared body plans.

Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Structured prediction with indirect supervision.

Ming-Wei Chang, James Clarke, Dan Goldwasser, Lev-Arie Ratinov, Vivek Srikumar, Dan Roth

Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

A Joint Model for Extended Semantic Role Labeling.

Vivek Srikumar, Dan Roth

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010

Discriminative Learning over Constrained Latent Representations.

Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Structured Output Learning with Indirect Supervision.

Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Relation Alignment for Textual Entailment Recognition.

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

Proceedings of the Second Text Analysis Conference, 2009

2008

Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution.

Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Rappoport, Dan Roth

Proceedings of the ACL 2008, 2008

Proactive Intrusion Detection.

Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Srikumar

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Importance of Semantic Representation: Dataless Classification.

Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008