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ORCIDChitta Baral
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- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2022
[j55]Chitta Baral, Gregory Gelfond
, Enrico Pontelli, Tran Cao Son:
An action language for multi-agent domains. Artif. Intell. 302: 103601 (2022)- [i78]Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. CoRR abs/2201.07745 (2022) - [i77]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. CoRR abs/2203.00211 (2022) - [i76]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. CoRR abs/2203.03073 (2022) - [i75]Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou:
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering. CoRR abs/2203.07522 (2022) - [i74]Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral:
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. CoRR abs/2203.07653 (2022) - [i73]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. CoRR abs/2203.08597 (2022) - [i72]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? CoRR abs/2203.09161 (2022) - [i71]Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. CoRR abs/2203.16682 (2022) - [i70]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. CoRR abs/2204.05660 (2022) - [i69]Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, M. Hassan Murad, Chitta Baral:
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. CoRR abs/2204.07600 (2022) - [i68]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i67]Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. CoRR abs/2205.00415 (2022) - 2021
- [j54]Pratyay Banerjee, Kuntal Kumar Pal, Murthy V. Devarakonda, Chitta Baral:
Biomedical Named Entity Recognition via Knowledge Guidance and Question Answering. ACM Trans. Comput. Heal. 2(4): 33:1-33:24 (2021) - [c158]Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. AAAI 2021: 7574-7582 - [c157]Ming Shen, Pratyay Banerjee, Chitta Baral:
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. ACL/IJCNLP (2) 2021: 932-941 - [c156]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
WeaQA: Weak Supervision via Captions for Visual Question Answering. ACL/IJCNLP (Findings) 2021: 3420-3435 - [c155]Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang, Chitta Baral:
Constructing Flow Graphs from Procedural Cybersecurity Texts. ACL/IJCNLP (Findings) 2021: 3945-3957 - [c154]Pratyay Banerjee, Swaroop Mishra, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Commonsense Reasoning with Implicit Knowledge in Natural Language. AKBC 2021 - [c153]Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral:
'Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks. EACL 2021: 2766-2771 - [c152]Kuntal Kumar Pal, Chitta Baral:
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. EMNLP (Findings) 2021: 3095-3101 - [c151]Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral:
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. EMNLP (1) 2021: 6417-6431 - [c150]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. ICCV 2021: 1888-1898 - [c149]Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Self-Supervised Test-Time Learning for Reading Comprehension. NAACL-HLT 2021: 1200-1211 - [c148]Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral:
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. NAACL-HLT 2021: 3692-3709 - [i66]Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Self-Supervised Test-Time Learning for Reading Comprehension. CoRR abs/2103.11263 (2021) - [i65]Pratyay Banerjee, Kuntal Kumar Pal, Fish Wang, Chitta Baral:
Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling. CoRR abs/2103.12801 (2021) - [i64]Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral:
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks. CoRR abs/2103.15022 (2021) - [i63]Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral:
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. CoRR abs/2104.05981 (2021) - [i62]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi:
Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions. CoRR abs/2104.08773 (2021) - [i61]Ming Shen, Pratyay Banerjee, Chitta Baral:
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. CoRR abs/2105.12392 (2021) - [i60]Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang, Chitta Baral:
Constructing Flow Graphs from Procedural Cybersecurity Texts. CoRR abs/2105.14357 (2021) - [i59]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems. CoRR abs/2107.00315 (2021) - [i58]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. CoRR abs/2109.01934 (2021) - [i57]Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral:
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. CoRR abs/2109.04014 (2021) - [i56]Kuntal Kumar Pal, Chitta Baral:
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. CoRR abs/2109.04672 (2021) - [i55]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. CoRR abs/2109.07830 (2021) - [i54]Man Luo, Shuguang Chen, Chitta Baral:
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context. CoRR abs/2109.10497 (2021) - [i53]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. CoRR abs/2110.07165 (2021) - [i52]Hong Guan, Chitta Baral:
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis. CoRR abs/2110.08393 (2021) - [i51]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. CoRR abs/2110.08438 (2021) - 2020
- [c147]Arindam Mitra, Ishan Shrivastava, Chitta Baral:
Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models. AAAI 2020: 8504-8511 - [c146]Arindam Mitra, Sanjay Narayana, Chitta Baral:
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner's Perspective. SPNLP@EMNLP 2020: 102-111 - [c145]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
VQA-LOL: Visual Question Answering Under the Lens of Logic. ECCV (21) 2020: 379-396 - [c144]Pratyay Banerjee, Chitta Baral:
Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering. EMNLP (1) 2020: 151-162 - [c143]Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. EMNLP (1) 2020: 840-860 - [c142]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. EMNLP (1) 2020: 878-892 - [c141]Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral:
Visuo-Lingustic Question Answering (VLQA) Challenge. EMNLP (Findings) 2020: 4606-4616 - [c140]Samarth Rawal, Ashok Prakash, Soumya Adhya, Sidharth Kulkarni, Saadat Anwar, Chitta Baral, Murthy V. Devarakonda:
Semi-Automated Clinical Lexicon Induction and Its Use in Cohort Selection from Clinical Notes. ICHI 2020: 1-2 - [c139]Kazuaki Kashihara, Jana Shakarian, Chitta Baral:
Human-Machine Interaction for Improved Cybersecurity Named Entity Recognition Considering Semantic Similarity. IntelliSys (2) 2020: 347-361 - [c138]Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor:
Language-Conditioned Imitation Learning for Robot Manipulation Tasks. NeurIPS 2020 - [p1]Chitta Baral, Martine Ceberio, Vladik Kreinovich:
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints. Decision Making under Constraints 2020: 15-20 - [i50]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
VQA-LOL: Visual Question Answering under the Lens of Logic. CoRR abs/2002.08325 (2020) - [i49]Chitta Baral, Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra:
Natural Language QA Approaches using Reasoning with External Knowledge. CoRR abs/2003.03446 (2020) - [i48]Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. CoRR abs/2003.05162 (2020) - [i47]Pratyay Banerjee, Chitta Baral:
Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering. CoRR abs/2004.03101 (2020) - [i46]Pratyay Banerjee, Chitta Baral:
Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering. CoRR abs/2005.00316 (2020) - [i45]Shailaja Sampat, Yezhou Yang, Chitta Baral:
Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge. CoRR abs/2005.00330 (2020) - [i44]Swaroop Mishra, Anjana Arunkumar, Bhavdeep Singh Sachdeva, Chris Bryan, Chitta Baral:
DQI: Measuring Data Quality in NLP. CoRR abs/2005.00816 (2020) - [i43]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Chitta Baral:
Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks. CoRR abs/2005.08516 (2020) - [i42]Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral:
Our Evaluation Metric Needs an Update to Encourage Generalization. CoRR abs/2007.06898 (2020) - [i41]Swaroop Mishra, Anjana Arunkumar, Bhavdeep Singh Sachdeva, Chris Bryan, Chitta Baral:
DQI: A Guide to Benchmark Evaluation. CoRR abs/2008.03964 (2020) - [i40]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
It's better to say "I can't answer" than answering incorrectly: Towards Safety critical NLP systems. CoRR abs/2008.09371 (2020) - [i39]Samarth Rawal, Chitta Baral:
Multi-Perspective Semantic Information Retrieval. CoRR abs/2009.01938 (2020) - [i38]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. CoRR abs/2009.08566 (2020) - [i37]Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor:
Language-Conditioned Imitation Learning for Robot Manipulation Tasks. CoRR abs/2010.12083 (2020) - [i36]Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. CoRR abs/2012.01806 (2020) - [i35]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Self-Supervised VQA: Answering Visual Questions using Images and Captions. CoRR abs/2012.02356 (2020) - [i34]Pratyay Banerjee, Chitta Baral, Man Luo, Arindam Mitra, Kuntal Kumar Pal, Tran Cao Son, Neeraj Varshney:
Can Transformers Reason About Effects of Actions? CoRR abs/2012.09938 (2020)
2010 – 2019
- 2019
- [c137]Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming. AAAI 2019: 3003-3010 - [c136]Ashok Prakash, Arpit Sharma, Arindam Mitra, Chitta Baral:
Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge. ACL (1) 2019: 6110-6119 - [c135]Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Careful Selection of Knowledge to Solve Open Book Question Answering. ACL (1) 2019: 6120-6129 - [c134]Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. CVPR Workshops 2019: 5-8 - [c133]Somak Aditya, Yezhou Yang, Chitta Baral:
Integrating Knowledge and Reasoning in Image Understanding. IJCAI 2019: 6252-6259 - [c132]Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral:
Spatial Knowledge Distillation to Aid Visual Reasoning. WACV 2019: 227-235 - [i33]Samarth Rawal, Ashok Prakash, Soumya Adhya, Sidharth Kulkarni, Saadat Anwar, Chitta Baral, Murthy V. Devarakonda:
Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes. CoRR abs/1902.09674 (2019) - [i32]Arindam Mitra, Ishan Shrivastava, Chitta Baral:
Understanding Roles and Entities: Datasets and Models for Natural Language Inference. CoRR abs/1904.09720 (2019) - [i31]Arindam Mitra, Peter Clark, Oyvind Tafjord, Chitta Baral:
Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming. CoRR abs/1905.00198 (2019) - [i30]Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs. CoRR abs/1905.12042 (2019) - [i29]Somak Aditya, Yezhou Yang, Chitta Baral:
Integrating Knowledge and Reasoning in Image Understanding. CoRR abs/1906.09954 (2019) - [i28]Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Careful Selection of Knowledge to solve Open Book Question Answering. CoRR abs/1907.10738 (2019) - [i27]Arindam Mitra, Chitta Baral, Aurgho Bhattacharjee, Ishan Shrivastava:
A Generate-Validate Approach to Answering Questions about Qualitative Relationships. CoRR abs/1908.03645 (2019) - [i26]Arindam Mitra, Pratyay Banerjee, Kuntal Kumar Pal, Swaroop Mishra, Chitta Baral:
Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering. CoRR abs/1909.08855 (2019) - [i25]Pratyay Banerjee, Kuntal Kumar Pal, Murthy V. Devarakonda, Chitta Baral:
Knowledge Guided Named Entity Recognition. CoRR abs/1911.03869 (2019) - [i24]Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Chitta Baral, Heni Ben Amor:
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration. CoRR abs/1911.11744 (2019) - 2018
- [j53]Chitta Baral, Shih-Fu Chang, Brian Curless, Partha Dasgupta, Julia Hirschberg, Anita Jones:
Ask not what your postdoc can do for you ... Commun. ACM 61(1): 42-44 (2018) - [j52]Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Fermüller:
Image Understanding using vision and reasoning through Scene Description Graph. Comput. Vis. Image Underst. 173: 33-45 (2018) - [j51]Arindam Mitra, Chitta Baral:
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples. Theory Pract. Log. Program. 18(3-4): 623-637 (2018) - [c131]Somak Aditya, Yezhou Yang, Chitta Baral:
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. AAAI 2018: 629-637 - [c130]Arindam Mitra, Chitta Baral, Peter Clark:
Knowledge Representation and Reasoning in Answering Science Questions: A Case Study for Food Web Questions. KR 2018: 657-658 - [c129]Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos:
Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. UAI 2018: 238-248 - [i23]Arindam Mitra, Chitta Baral:
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples. CoRR abs/1802.07966 (2018) - [i22]Somak Aditya, Yezhou Yang, Chitta Baral:
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. CoRR abs/1803.08896 (2018) - [i21]Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral:
Spatial Knowledge Distillation to aid Visual Reasoning. CoRR abs/1812.03631 (2018) - 2017
- [c128]Zeynep Gozen Saribatur, Chitta Baral, Thomas Eiter:
Reactive Maintenance Policies over Equalized States in Dynamic Environments. EPIA 2017: 709-723 - [c127]Chitta Baral, Tran Cao Son:
Revision and Updates in Possibly Action-Occurrence-Incomplete Narratives. PRIMA 2017: 53-70 - [i20]Chitta Baral, Thomas Bolander, Hans van Ditmarsch, Sheila A. McIlraith:
Epistemic Planning (Dagstuhl Seminar 17231). Dagstuhl Reports 7(6): 1-47 (2017) - 2016
- [c126]Arindam Mitra, Chitta Baral:
Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning. AAAI 2016: 2779-2785 - [c125]Arpit Sharma, Chitta Baral:
Automatic Extraction of Events-Based Conditional Commonsense Knowledge. AAAI Workshop: Knowledge Extraction from Text 2016 - [c124]Arindam Mitra, Chitta Baral:
Learning To Use Formulas To Solve Simple Arithmetic Problems. ACL (1) 2016 - [c123]Chitta Baral, Tran Cao Son, Michael Gelfond, Arindam Mitra:
Plan Failure Analysis: Formalization and Application in Interactive Planning Through Natural Language Communication. PRIMA 2016: 376-386 - [e5]Chitta Baral, James P. Delgrande, Frank Wolter:
Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, KR 2016, Cape Town, South Africa, April 25-29, 2016. AAAI Press 2016, ISBN 978-1-57735-755-1 [contents] - [i19]Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos:
Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic. CoRR abs/1611.05896 (2016) - [i18]Vladik Kreinovich, Chitta Baral:
On Selecting a Conjunction Operation in Probabilistic Soft Logic. CoRR abs/1611.06631 (2016) - 2015
- [c122]Tran Cao Son, Enrico Pontelli, Chitta Baral, Gregory Gelfond:
Exploring the KD45 Property of a Kripke Model After the Execution of an Action Sequence. AAAI 2015: 1604-1610 - [c121]Chitta Baral, Giuseppe De Giacomo:
Knowledge Representation and Reasoning: What's Hot. AAAI 2015: 4316-4317 - [c120]Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos:
Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning. AAAI Spring Symposia 2015 - [c119]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
Multi-Agent Action Modeling Through Action Sequences And Perspective Fluents. AAAI Spring Symposia 2015 - [c118]Arpit Sharma, Nguyen Ha Vo, Shruti Gaur, Chitta Baral:
An Approach to Solve Winograd Schema Challenge Using Automatically Extracted Commonsense Knowledge. AAAI Spring Symposia 2015 - [c117]Nguyen Ha Vo, Arindam Mitra, Chitta Baral:
The NL2KR Platform for building Natural Language Translation Systems. ACL (1) 2015: 899-908 - [c116]Arpit Sharma, Nguyen Ha Vo, Somak Aditya, Chitta Baral:
Identifying Various Kinds of Event Mentions in K-Parser Output. EVENTS@HLP-NAACL 2015: 82-88 - [c115]Tran Cao Son, Enrico Pontelli, Chitta Baral:
A Non-monotonic Goal Specification Language for Planning with Preferences. Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation 2015: 202-217 - [c114]Arindam Mitra, Chitta Baral:
Learning to Automatically Solve Logic Grid Puzzles. EMNLP 2015: 1023-1033 - [c113]Arpit Sharma, Nguyen Ha Vo, Somak Aditya, Chitta Baral:
Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module. IJCAI 2015: 1319-1325 - [c112]Chitta Baral, Tran Cao Son:
"Add Another Blue Stack of the Same Height!": ASP Based Planning and Plan Failure Analysis. LPNMR 2015: 127-133 - [c111]Somak Aditya, Chitta Baral, Nguyen Ha Vo, Joohyung Lee, Jieping Ye, Zaw Naung, Barry Lumpkin, Jenny Hastings, Richard B. Scherl, Dawn M. Sweet, Daniela Inclezan:
Recognizing Social Constructs from Textual Conversation. HLT-NAACL 2015: 1293-1298 - [c110]Graciela Gonzalez, Chitta Baral, Jeff Kiefer, Suengchan Kim, Jieping Ye:
Session Introduction. Pacific Symposium on Biocomputing 2015: 80-83 - [i17]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
An Action Language for Multi-Agent Domains: Foundations. CoRR abs/1511.01960 (2015) - [i16]Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos:
From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge. CoRR abs/1511.03292 (2015) - 2014
- [c109]Saadat Anwar, Chitta Baral:
Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics. AAAI 2014: 981-988 - [c108]