1 code implementation • 16 Sep 2022 • Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
Satisfying these constraints simultaneously is difficult for the two predominant paradigms in language generation: neural language modeling and rule-based generation.
no code implementations • ACL 2021 • Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Wolfe, Jacob Andreas, Dan Klein
Conversational semantic parsers map user utterances to executable programs given dialogue histories composed of previous utterances, programs, and system responses.
1 code implementation • 24 Sep 2020 • Semantic Machines, Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov
We describe an approach to task-oriented dialogue in which dialogue state is represented as a dataflow graph.
no code implementations • CVPR 2018 • Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi
Diagrams often depict complex phenomena and serve as a good test bed for visual and textual reasoning.
1 code implementation • EMNLP 2017 • Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner
We present a new semantic parsing model for answering compositional questions on semi-structured Wikipedia tables.
no code implementations • ACL 2017 • Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer
We present an approach to rapidly and easily build natural language interfaces to databases for new domains, whose performance improves over time based on user feedback, and requires minimal intervention.
Ranked #1 on SQL Parsing on Restaurants
no code implementations • 2 Dec 2016 • Kenton W. Murray, Jayant Krishnamurthy
We present probabilistic neural programs, a framework for program induction that permits flexible specification of both a computational model and inference algorithm while simultaneously enabling the use of deep neural networks.
1 code implementation • 12 Jul 2016 • Matt Gardner, Jayant Krishnamurthy
However, all prior approaches to open vocabulary semantic parsing replace a formal KB with textual information, making no use of the KB in their models.
no code implementations • EMNLP 2016 • Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi
Situated question answering is the problem of answering questions about an environment such as an image or diagram.
no code implementations • TACL 2015 • Jayant Krishnamurthy, Tom M. Mitchell
Crucially, our approach uses an open predicate vocabulary, enabling it to produce denotations for phrases such as {``}Republican front-runner from Texas{''} whose semantics cannot be represented using the Freebase schema.
no code implementations • TACL 2013 • Jayant Krishnamurthy, Thomas Kollar
LSP learns physical representations for both categorical ({``}blue,{''} {``}mug{''}) and relational ({``}on{''}) language, and also learns to compose these representations to produce the referents of entire statements.