Context-Dependent Semantic Parsing over Temporally Structured Data

作者: Razvan Bunescu , Charles Chen

DOI:

关键词:

摘要: We describe a new semantic parsing setting that allows users to query the system using both natural language questions and actions within a graphical user interface. Multiple time …

参考文章(30)
Ronald J. Williams, David Zipser, A learning algorithm for continually running fully recurrent neural networks Neural Computation. ,vol. 1, pp. 270- 280 ,(1989) , 10.1162/NECO.1989.1.2.270
Diane Kelly, Jimmy Lin, Overview of the TREC 2006 ciQA task international acm sigir conference on research and development in information retrieval. ,vol. 41, pp. 107- 116 ,(2007) , 10.1145/1273221.1273231
Sepp Hochreiter, Jürgen Schmidhuber, Long short-term memory Neural Computation. ,vol. 9, pp. 1735- 1780 ,(1997) , 10.1162/NECO.1997.9.8.1735
Luke Zettlemoyer, Yoav Artzi, Bootstrapping Semantic Parsers from Conversations empirical methods in natural language processing. pp. 421- 432 ,(2011)
Luke S. Zettlemoyer, Michael Collins, Learning Context-Dependent Mappings from Sentences to Logical Form international joint conference on natural language processing. pp. 976- 984 ,(2009) , 10.3115/1690219.1690283
Sanda Harabagiu, Andrew Hickl, John Lehmann, Dan Moldovan, Experiments with Interactive Question-Answering meeting of the association for computational linguistics. pp. 205- 214 ,(2005) , 10.3115/1219840.1219866
Marc'Aurelio Ranzato, Michael Auli, Sumit Chopra, Wojciech Zaremba, Sequence Level Training with Recurrent Neural Networks arXiv: Learning. ,(2015)
Wen-tau Yih, Xiaodong He, Christopher Meek, Semantic Parsing for Single-Relation Question Answering Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). ,vol. 2, pp. 643- 648 ,(2014) , 10.3115/V1/P14-2105
Percy Liang, Learning executable semantic parsers for natural language understanding Communications of The ACM. ,vol. 59, pp. 68- 76 ,(2016) , 10.1145/2866568
Sanja Fidler, Raquel Urtasun, Wenjie Luo, Wenyuan Zeng, Efficient Summarization with Read-Again and Copy Mechanism arXiv: Computation and Language. ,(2016)