Prithviraj Sen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
18
Active years
2006–2023
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ACL | Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. | Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray |
| 2023 | ACL | Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. | Bingsheng Yao, Prithviraj Sen, Lucian Popa, James A. Hendler, Dakuo Wang |
| 2022 | AAAI | Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. | Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray |
| 2022 | EMNLP | Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. | Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray |
| 2021 | ACL | LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. | Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray |
| 2021 | EMNLP | Neuro-Symbolic Approaches for Text-Based Policy Learning. | Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar |
| 2020 | COLING | Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. | Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li |
| 2020 | EMNLP | Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification. | Prithviraj Sen, Marina Danilevsky, Yunyao Li, Siddhartha Brahma, Matthias Boehm, Laura Chiticariu, Rajasekar Krishnamurthy |
| 2020 | IJCNLP | A Survey of the State of Explainable AI for Natural Language Processing. | Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen |
| 2020 | SIGMOD | A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching. | Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen, Mohamed Sarwat |
| 2019 | ACL | HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop. | Prithviraj Sen, Yunyao Li, Eser Kandogan, Yiwei Yang, Walter S. Lasecki |
| 2019 | CIKM | Learning-Based Methods with Human-in-the-Loop for Entity Resolution. | Sairam Gurajada, Lucian Popa, Kun Qian, Prithviraj Sen |
| 2019 | IUI | A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics. | Yiwei Yang, Eser Kandogan, Yunyao Li, Prithviraj Sen, Walter S. Lasecki |
| 2017 | CIDR | SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. | Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen |
| 2017 | CIKM | Active Learning for Large-Scale Entity Resolution. | Kun Qian, Lucian Popa, Prithviraj Sen |
| 2017 | ICDAR | A Rectangle Mining Method for Understanding the Semantics of Financial Tables. | Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen |
| 2013 | CLOUD | Compiling machine learning algorithms with SystemML. | Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian |
| 2012 | WWW | Collective context-aware topic models for entity disambiguation. | Prithviraj Sen |
| 2011 | KDD | Entity disambiguation with hierarchical topic models. | Saurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu |
| 2011 | KDD | Web information extraction using markov logic networks. | Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen |
| 2011 | WWW | Web information extraction using Markov logic networks. | Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen |
| 2010 | COMAD | Representing Large-Scale Uncertainty through Probabilistic Databases. | Prithviraj Sen |
| 2009 | UAI | Bisimulation-based Approximate Lifted Inference. | Prithviraj Sen, Amol Deshpande, Lise Getoor |
| 2007 | ICDE | Representing and Querying Correlated Tuples in Probabilistic Databases. | Prithviraj Sen, Amol Deshpande |
| 2007 | ICDM | Representing Tuple and Attribute Uncertainty in Probabilistic Databases. | Prithviraj Sen, Amol Deshpande, Lise Getoor |
| 2006 | ICML | Cost-sensitive learning with conditional Markov networks. | Prithviraj Sen, Lise Getoor |