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ORCIDPushpendre Rastogi
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Journal Articles
- 2019
[j1]Pushpendre Rastogi
, Adam Poliak, Vince Lyzinski, Benjamin Van Durme:
Neural variational entity set expansion for automatically populated knowledge graphs. Inf. Retr. J. 22(3-4): 232-255 (2019)
Conference and Workshop Papers
- 2019
- [c16]Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Lambert Mathias:
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation. NAACL-HLT (2) 2019: 97-105 - 2018
- [c15]Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme:
Neural Variational Entity Set Expansion for Automatically Populated Knowledge Graphs. ProfS/KG4IR/Data:Search@SIGIR 2018: 49-50 - 2017
- [c14]Adam Poliak, Pushpendre Rastogi, M. Patrick Martin, Benjamin Van Durme:
Efficient, Compositional, Order-sensitive n-gram Embeddings. EACL (2) 2017: 503-508 - [c13]Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn J. Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang:
CADET: Computer Assisted Discovery Extraction and Translation. IJCNLP (System Demonstrations) 2017: 5-8 - [c12]Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme:
Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. IJCNLP(1) 2017: 996-1005 - [c11]Pushpendre Rastogi, Benjamin Van Durme:
Predicting Asymmetric Transitive Relations in Knowledge Bases. KG4IR@SIGIR 2017: 7-12 - [c10]Pushpendre Rastogi, Adam Poliak, Benjamin Van Durme:
Training Relation Embeddings under Logical Constraints. KG4IR@SIGIR 2017: 25-31 - 2016
- [c9]Pushpendre Rastogi, Jingyi Zhu, James C. Spall:
Efficient implementation of enhanced adaptive simultaneous perturbation algorithms. CISS 2016: 298-303 - [c8]Pushpendre Rastogi, Ryan Cotterell, Jason Eisner:
Weighting Finite-State Transductions With Neural Context. HLT-NAACL 2016: 623-633 - [c7]Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer:
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks. RepEval@ACL 2016: 30-35 - 2015
- [c6]Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, Chris Callison-Burch, Mark Dredze, Benjamin Van Durme:
FrameNet+: Fast Paraphrastic Tripling of FrameNet. ACL (2) 2015: 408-413 - [c5]Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch:
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. ACL (2) 2015: 425-430 - [c4]Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro, Benjamin Van Durme:
Script Induction as Language Modeling. EMNLP 2015: 1681-1686 - [c3]Pushpendre Rastogi, Benjamin Van Durme, Raman Arora:
Multiview LSA: Representation Learning via Generalized CCA. HLT-NAACL 2015: 556-566 - 2014
- [c2]Pushpendre Rastogi, Benjamin Van Durme:
Augmenting FrameNet Via PPDB. EVENTS@ACL 2014: 1-5 - [c1]Jennifer Drexler, Pushpendre Rastogi, Jacqueline Aguilar, Benjamin Van Durme, Matt Post:
A Wikipedia-based Corpus for Contextualized Machine Translation. LREC 2014: 3593-3596
Informal and Other Publications
- 2019
- [i9]Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Lambert Mathias:
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation. CoRR abs/1903.05164 (2019) - [i8]Michael Regan, Pushpendre Rastogi, Arpit Gupta, Lambert Mathias:
A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR). CoRR abs/1903.11783 (2019) - [i7]Tongfei Chen, Chetan Naik, Hua He, Pushpendre Rastogi, Lambert Mathias:
Improving Long Distance Slot Carryover in Spoken Dialogue Systems. CoRR abs/1906.01149 (2019) - [i6]Pushpendre Rastogi:
Representation Learning for Words and Entities. CoRR abs/1906.05651 (2019) - 2018
- [i5]Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme:
NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline. TAC 2018 - 2017
- [i4]Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme:
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 2017 - 2016
- [i3]Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer:
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks. CoRR abs/1605.02276 (2016) - [i2]Pushpendre Rastogi, Benjamin Van Durme:
A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations. CoRR abs/1605.04672 (2016) - 2015
- [i1]Pushpendre Rastogi, Benjamin Van Durme:
Sublinear Partition Estimation. CoRR abs/1508.01596 (2015)
Coauthor Index
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