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Mausam
Person information

- affiliation: Indian Institute of Technology Delhi
- affiliation: University of Washington, Seattle, Washington, USA
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2020 – today
- 2023
- [c112]Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti, Mausam:
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark. ACL (2) 2023: 201-214 - [c111]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. ACL (2) 2023: 256-269 - [c110]Mayur Patidar, Prayushi Faldu, Avinash Kumar Singh, Lovekesh Vig, Indrajit Bhattacharya, Mausam:
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. ACL (1) 2023: 10341-10357 - [c109]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. ACL (Findings) 2023: 11708-11730 - [c108]Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N. M. Anoop Krishnan, Mausam:
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. ACL (1) 2023: 13465-13483 - [c107]Harsh Agrawal, Aditya Mishra, Manish Gupta, Mausam:
Multimodal Persona Based Generation of Comic Dialogs. ACL (1) 2023: 14150-14164 - [c106]Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam:
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. CVPR 2023: 23913-23923 - [c105]Vishal Sharma, Daman Arora, Mausam, Parag Singla:
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs. UAI 2023: 1921-1931 - [i60]Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das, Govind Makharia, Lalita Mehra, Prathosh AP, Mausam:
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting. CoRR abs/2304.00741 (2023) - [i59]Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam:
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs. CoRR abs/2305.11301 (2023) - [i58]Pranjal Aggarwal
, Aman Madaan, Yiming Yang, Mausam:
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs. CoRR abs/2305.11860 (2023) - [i57]Daman Arora, Himanshu Gaurav Singh, Mausam:
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models. CoRR abs/2305.15074 (2023) - [i56]Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam:
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. CoRR abs/2305.16697 (2023) - [i55]Mohd Zaki, Jayadeva, Mausam, N. M. Anoop Krishnan:
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models. CoRR abs/2308.09115 (2023) - [i54]Kausik Hira, Mohd Zaki, Dhruvil Sheth, Mausam, N. M. Anoop Krishnan:
Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction. CoRR abs/2310.08383 (2023) - [i53]Anand Brahmbhatt, Vipul Rathore, Mausam, Parag Singla:
Towards Fair and Calibrated Models. CoRR abs/2310.10399 (2023) - [i52]Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui:
AutoMix: Automatically Mixing Language Models. CoRR abs/2310.12963 (2023) - [i51]Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam:
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. CoRR abs/2310.16393 (2023) - [i50]Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
Ensembling Textual and Structure-Based Models for Knowledge Graph Completion. CoRR abs/2311.03780 (2023) - [i49]Harshvardhan Srivastava, Kanav Pruthi, Soumen Chakrabarti, Mausam:
CoRE-CoG: Conversational Recommendation of Entities using Constrained Generation. CoRR abs/2311.08511 (2023) - [i48]Mayur Patidar, Avinash Kumar Singh, Riya Sawhney, Indrajit Bhattacharya, Mausam:
Combining Transfer Learning with In-context Learning using Blackbox LLMs for Zero-shot Knowledge Base Question Answering. CoRR abs/2311.08894 (2023) - [i47]Aayush Kumar Tyagi, Vaibhav Mishra, Prathosh A. P., Mausam:
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images. CoRR abs/2311.17960 (2023) - 2022
- [j14]Kevin Leyton-Brown, Mausam, Qiang Yang:
The New Faculty Highlights Program at AAAI-21. AI Mag. 43(4): 343 (2022) - [j13]Hemangee Kalpesh Kapoor, Mausam, Venkatesh Raman:
Welcome back! Commun. ACM 65(11): 40-42 (2022) - [j12]Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis. J. Artif. Intell. Res. 75: 1595-1631 (2022) - [c104]Vipul Rathore, Kartikeya Badola, Parag Singla, Mausam:
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. ACL (2) 2022: 340-354 - [c103]Abhyuday Bhartiya, Kartikeya Badola, Mausam:
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction. ACL (2) 2022: 849-863 - [c102]Keshav Kolluru, Muqeeth Mohammed, Shubham Mittal, Soumen Chakrabarti, Mausam:
Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction. ACL (1) 2022: 2502-2517 - [c101]Keshav Kolluru, Gabriel Stanovsky, Mausam:
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds. EMNLP 2022: 10407-10420 - [c100]Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam:
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation. EMNLP 2022: 10763-10774 - [c99]Soumen Chakrabarti, Harkanwar Singh, Shubham Lohiya, Prachi Jain, Mausam:
Joint Completion and Alignment of Multilingual Knowledge Graphs. EMNLP 2022: 11922-11938 - [c98]Yatin Nandwani, Vidit Jain, Mausam, Parag Singla:
Neural Models for Output-Space Invariance in Combinatorial Problems. ICLR 2022 - [c97]Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla:
A Solver-free Framework for Scalable Learning in Neural ILP Architectures. NeurIPS 2022 - [c96]Vishal Sharma, Daman Arora, Florian Geißer, Mausam, Parag Singla:
SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs. UAI 2022: 1771-1781 - [i46]Yatin Nandwani, Vidit Jain, Mausam, Parag Singla:
Neural Models for Output-Space Invariance in Combinatorial Problems. CoRR abs/2202.03229 (2022) - [i45]Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu:
Matching Papers and Reviewers at Large Conferences. CoRR abs/2202.12273 (2022) - [i44]Shreya Sharma, Jigyasa Gupta, Shreshth Tuli, Rohan Paul, Mausam:
GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following. CoRR abs/2205.07081 (2022) - [i43]Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
ToolTango: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis. CoRR abs/2206.09141 (2022) - [i42]Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. CoRR abs/2207.01079 (2022) - [i41]Yatin Nandwani, Rishabh Ranjan, Mausam, Parag Singla:
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures. CoRR abs/2210.09082 (2022) - [i40]Keshav Kolluru, Gabriel Stanovsky, Mausam:
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds. CoRR abs/2210.13039 (2022) - [i39]Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti, Mausam:
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark. CoRR abs/2211.06959 (2022) - [i38]Mayur Patidar, Avinash Kumar Singh, Prayushi Faldu, Lovekesh Vig, Indrajit Bhattacharya, Mausam:
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. CoRR abs/2212.10189 (2022) - 2021
- [j11]Danish Contractor
, Barun Patra, Mausam
, Parag Singla:
Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions. Nat. Lang. Eng. 27(1): 65-87 (2021) - [j10]Dinesh Raghu, Nikhil Gupta, Mausam:
Unsupervised Learning of KB Queries in Task-Oriented Dialogs. Trans. Assoc. Comput. Linguistics 9: 374-390 (2021) - [c95]Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi:
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. ACL/IJCNLP (Findings) 2021: 5051-5061 - [c94]Vaibhav Adlakha, Parth Shah, Srikanta J. Bedathur, Mausam:
Regex Queries over Incomplete Knowledge Bases. AKBC 2021 - [c93]Harkanwar Singh, Soumen Chakrabarti, Prachi Jain, Sharod Roy Choudhury, Mausam:
Multilingual Knowledge Graph Completion With Joint Relation and Entity Alignment. AKBC 2021 - [c92]Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam:
Answering POI-recommendation Questions using Tourism Reviews. CIKM 2021: 281-291 - [c91]Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam:
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. EMNLP (1) 2021: 4348-4366 - [c90]Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla:
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. ICLR 2021 - [c89]Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators. IJCAI 2021: 4197-4205 - [c88]Danish Contractor, Shashank Goel, Mausam, Parag Singla:
Joint Spatio-Textual Reasoning for Answering Tourism Questions. WWW 2021: 1978-1989 - [i37]Abhyuday Bhartiya, Kartikeya Badola, Mausam:
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction. CoRR abs/2104.08655 (2021) - [i36]Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam:
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion. CoRR abs/2104.08741 (2021) - [i35]Harkanwar Singh, Prachi Jain, Mausam, Soumen Chakrabarti:
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment. CoRR abs/2104.08804 (2021) - [i34]Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators. CoRR abs/2105.04556 (2021) - [i33]Ananye Agarwal, Pradeep Shenoy, Mausam:
End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks. CoRR abs/2106.03121 (2021) - [i32]Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam:
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. CoRR abs/2109.07263 (2021) - [i31]Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi:
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. CoRR abs/2109.07396 (2021) - [i30]Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction. CoRR abs/2109.15290 (2021) - [i29]Vipul Rathore, Kartikeya Badola, Mausam, Parag Singla:
A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction. CoRR abs/2110.07415 (2021) - 2020
- [c87]Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, Soumen Chakrabarti:
IMoJIE: Iterative Memory-Based Joint Open Information Extraction. ACL 2020: 5871-5886 - [c86]Yatin Nandwani, Ankesh Gupta, Aman Agrawal, Mayank Singh Chauhan, Parag Singla, Mausam:
OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. AKBC 2020 - [c85]Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti:
Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols. EMNLP (1) 2020: 3733-3747 - [c84]Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam, Soumen Chakrabarti:
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction. EMNLP (1) 2020: 3748-3761 - [c83]Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam:
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. EMNLP (Findings) 2020: 4568-4586 - [c82]Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal:
A Simple Yet Strong Pipeline for HotpotQA. EMNLP (1) 2020: 8839-8845 - [c81]Sankalp Garg, Aniket Bajpai, Mausam:
Symbolic Network: Generalized Neural Policies for Relational MDPs. ICML 2020: 3397-3407 - [i28]Sankalp Garg, Aniket Bajpai, Mausam:
Generalized Neural Policies for Relational MDPs. CoRR abs/2002.07375 (2020) - [i27]Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal:
A Simple Yet Strong Pipeline for HotpotQA. CoRR abs/2004.06753 (2020) - [i26]Dinesh Raghu, Nikhil Gupta, Mausam:
Unsupervised Learning of KB Queries in Task Oriented Dialogs. CoRR abs/2005.00123 (2020) - [i25]Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam:
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. CoRR abs/2005.00159 (2020) - [i24]Vaibhav Adlakha, Parth Shah, Srikanta Bedathur, Mausam:
Knowledge Base Inference for Regular Expression Queries. CoRR abs/2005.00480 (2020) - [i23]Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti:
Knowledge Base Completion: Baseline strikes back (Again). CoRR abs/2005.00804 (2020) - [i22]Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti:
Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols. CoRR abs/2005.05035 (2020) - [i21]Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, Soumen Chakrabarti:
IMoJIE: Iterative Memory-Based Joint Open Information Extraction. CoRR abs/2005.08178 (2020) - [i20]Rajas Bansal, Shreshth Tuli, Rohan Paul, Mausam:
ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis. CoRR abs/2006.05478 (2020) - [i19]Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla:
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces. CoRR abs/2008.11990 (2020) - [i18]Danish Contractor, Shashank Goel, Mausam, Parag Singla:
Joint Spatio-Textual Reasoning for Answering Tourism Questions. CoRR abs/2009.13613 (2020) - [i17]Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam, Soumen Chakrabarti:
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction. CoRR abs/2010.03147 (2020)
2010 – 2019
- 2019
- [j9]Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka
, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam
, Martin Michalowski
, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad
, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius
, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni:
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40(3): 67-78 (2019) - [c80]Sankalp Garg, Aniket Bajpai, Mausam:
Size Independent Neural Transfer for RDDL Planning. ICAPS 2019: 631-636 - [c79]Sangnie Bhardwaj, Samarth Aggarwal, Mausam:
CaRB: A Crowdsourced Benchmark for Open IE. EMNLP/IJCNLP (1) 2019: 6261-6266 - [c78]Dinesh Raghu, Nikhil Gupta, Mausam:
Disentangling Language and Knowledge in Task-Oriented Dialogs. NAACL-HLT (1) 2019: 1239-1255 - [c77]Yatin Nandwani, Abhishek Pathak, Mausam, Parag Singla:
A Primal Dual Formulation For Deep Learning With Constraints. NeurIPS 2019: 12157-12168 - [i16]Sankalp Garg, Aniket Bajpai, Mausam:
Size Independent Neural Transfer for RDDL Planning. CoRR abs/1902.03081 (2019) - [i15]Danish Contractor, Krunal Shah, Aditi Partap, Mausam, Parag Singla:
Large Scale Question Answering using Tourism Data. CoRR abs/1909.03527 (2019) - 2018
- [c76]Prachi Jain, Pankaj Kumar, Mausam, Soumen Chakrabarti:
Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision. ACL (2) 2018: 75-80 - [c75]Swarnadeep Saha, Mausam:
Open Information Extraction from Conjunctive Sentences. COLING 2018: 2288-2299 - [c74]Christopher H. Lin, Mausam, Daniel S. Weld:
Active Learning with Unbalanced Classes and Example-Generation Queries. HCOMP 2018: 98-107 - [c73]Prachi Jain, Shikhar Murty, Mausam
, Soumen Chakrabarti:
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference. IJCAI 2018: 4122-4129 - [c72]Dinesh Raghu, Surag Nair, Mausam
:
Inferring Temporal Knowledge for Near-Periodic Recurrent Events. IJCAI 2018: 4301-4308 - [c71]Aniket (Nick) Bajpai, Sankalp Garg, Mausam:
Transfer of Deep Reactive Policies for MDP Planning. NeurIPS 2018: 10988-10998 - [c70]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. UAI 2018: 886-895 - [c69]Jonathan Bragg, Mausam, Daniel S. Weld:
Sprout: Crowd-Powered Task Design for Crowdsourcing. UIST 2018: 165-176 - [i14]Danish Contractor, Barun Patra, Mausam, Parag Singla:
Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism. CoRR abs/1801.01825 (2018) - [i13]Dinesh Raghu, Nikhil Gupta, Mausam:
Hierarchical Pointer Memory Network for Task Oriented Dialogue. CoRR abs/1805.01216 (2018) - [i12]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. CoRR abs/1807.00643 (2018) - [i11]Aniket Bajpai, Sankalp Garg, Mausam:
Transfer of Deep Reactive Policies for MDP Planning. CoRR abs/1810.11488 (2018) - 2017
- [c68]Swarnadeep Saha, Harinder Pal, Mausam:
Bootstrapping for Numerical Open IE. ACL (2) 2017: 317-323 - [c67]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS 2017: 1541-1549 - [c66]Karan Goel, Shreya Rajpal, Mausam:
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing. HCOMP 2017: 31-40 - [c65]Haroun Habeeb, Ankit Anand, Mausam
, Parag Singla:
Coarse-to-Fine Lifted MAP Inference in Computer Vision. IJCAI 2017: 4595-4602 - [e2]Laura Barbulescu, Jeremy Frank, Mausam, Stephen F. Smith:
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, ICAPS 2017, Pittsburgh, Pennsylvania, USA, June 18-23, 2017. AAAI Press 2017 [contents] - [i10]Karan Goel, Shreya Rajpal, Mausam:
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing. CoRR abs/1702.03488 (2017) - [i9]Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti:
Joint Matrix-Tensor Factorization for Knowledge Base Inference. CoRR abs/1706.00637 (2017) - [i8]Haroun Habeeb, Ankit Anand, Mausam, Parag Singla:
Coarse-to-Fine Lifted MAP Inference in Computer Vision. CoRR abs/1707.07165 (2017) - [i7]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR abs/1707.08879 (2017) - 2016
- [c64]Christopher H. Lin, Mausam, Daniel S. Weld:
Re-Active Learning: Active Learning with Relabeling. AAAI 2016: 1845-1852 - [c63]Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi:
Numerical Relation Extraction with Minimal Supervision. AAAI 2016: 2764-2771 - [c62]Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla:
OGA-UCT: On-the-Go Abstractions in UCT. ICAPS 2016: 29-37 - [c61]Harinder Pal, Mausam:
Demonyms and Compound Relational Nouns in Nominal Open IE. AKBC@NAACL-HLT 2016: 35-39 - [c60]Jonathan Bragg, Mausam, Daniel S. Weld:
Optimal Testing for Crowd Workers. AAMAS 2016: 966-974 - [c59]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
Contextual Symmetries in Probabilistic Graphical Models. IJCAI 2016: 3560-3568 - [c58]Mausam:
Open Information Extraction Systems and Downstream Applications. IJCAI 2016: 4074-4077 - [c57]Danish Contractor, Parag Singla, Mausam:
Entity-balanced Gaussian pLSA for Automated Comparison. HLT-NAACL 2016: 69-79 - [c56]