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Semantic parsing
Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning.[1] Semantic parsing can thus be understood as extracting the precise meaning of an utterance. Applications of semantic parsing include machine translation,[2] question answering,[1][3] ontology induction,[4] automated reasoning,[5] and code generation.[6][7] The phrase was first used in the 1970s by Yorick Wilks as the basis for machine translation programs working with only semantic representations.[8] Semantic parsing is one of the important tasks in computational linguistics and natural language processing.
Semantic parsing maps text to formal meaning representations. This contrasts with semantic role labeling and other forms of shallow semantic processing, which do not aim to produce complete formal meanings.[9] In computer vision, semantic parsing is a process of segmentation for 3D objects.[10][11]
- ^ a b Jia, Robin; Liang, Percy (2016-06-11). "Data Recombination for Neural Semantic Parsing". arXiv:1606.03622 [cs.CL].
- ^ Andreas, Jacob, Andreas Vlachos, and Stephen Clark. "Semantic parsing as machine translation." Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Vol. 2. 2013.
- ^ Berant, Jonathan, et al. "Semantic Parsing on Freebase from Question-Answer Pairs." EMNLP. Vol. 2. No. 5. 2013.
- ^ Poon, Hoifung, and Pedro Domingos. "Unsupervised ontology induction from text." Proceedings of the 48th annual meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2010.
- ^ Kaliszyk, Cezary, Josef Urban, and Jiří Vyskočil. "Automating formalization by statistical and semantic parsing of mathematics." International Conference on Interactive Theorem Proving. Springer, Cham, 2017.
- ^ Rabinovich, Maxim; Stern, Mitchell; Klein, Dan (2017-04-25). "Abstract Syntax Networks for Code Generation and Semantic Parsing". arXiv:1704.07535 [cs.CL].
- ^ Yin, Pengcheng; Neubig, Graham (2017-04-05). "A Syntactic Neural Model for General-Purpose Code Generation". arXiv:1704.01696 [cs.CL].
- ^ Wilks, Y. and Fass, D. (1992) The Preference Semantics Family, In Computers and Mathematics with Applications, Volume 23, Issues 2-5, Pages 205-221.
- ^ Hoifung Poon, Pedro Domingos Unsupervised Semantic Parsing , Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
- ^ Armeni, Iro, et al. "3d semantic parsing of large-scale indoor spaces." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016.
- ^ Qi, Charles R., et al. "Pointnet: Deep learning on point sets for 3d classification and segmentation." Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.
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