Results 31 to 40 of about 124,081 (292)
Coarse-to-Fine Decoding for Neural Semantic Parsing [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 Semantic parsing aims at mapping natural language utterances into structured meaning representations. In this work, we propose a structure-aware neural architecture which decomposes the semantic parsing process into two stages.
Li Dong, Mirella Lapata
semanticscholar +1 more source
Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing [PDF]
Computer Vision and Pattern Recognition, 2017 Human parsing has recently attracted a lot of research interests due to its huge application potentials. However existing datasets have limited number of images and annotations, and lack the variety of human appearances and the coverage of challenging ...
Ke Gong +4 more
semanticscholar +1 more source
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing [PDF]
North American Chapter of the Association for Computational Linguistics, 2020 The de-facto standard decoding method for semantic parsing in recent years has been to autoregressively decode the abstract syntax tree of the target program using a top-down depth-first traversal. In this work, we propose an alternative approach: a Semi-
Ohad Rubin, Jonathan Berant
semanticscholar +1 more source
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations [PDF]
Transactions of the Association for Computational Linguistics, 2016 We present a simple and effective scheme for dependency parsing which is based on bidirectional-LSTMs (BiLSTMs). Each sentence token is associated with a BiLSTM vector representing the token in its sentential context, and feature vectors are constructed ...
E. Kiperwasser, Yoav Goldberg
semanticscholar +1 more source
Electronic Notes in Theoretical Computer Science, 2010 AbstractRecursive Descent (RD) parsers are popular because their control flow follows the structure of the grammar and hence they are easy to write and to debug. However, the class of grammars which admit RD parsers is very limited. Backtracking techniques may be used to extend this class, but can have explosive runtimes and cannot deal with grammars ...
Elizabeth Scott, Adrian Johnstone
openaire +2 more sources
Parsing schemata and correctness of parsing algorithms
Theoretical Computer Science, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +6 more sources
, 2006 It is shown how parsing can be described as a problem in the class ISBES, Intersections of Sets and Bags of Extended Substructures, defined in /pubs/1991/161/, by viewing parsing as a generalization of pattern matching in several ways. The resulting description is shown to be a good starting point for the transformational derivation of the Cocke-Kasami-
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Parsing Protocol Standards to Parse Standard Protocols [PDF]
Proceedings of the Applied Networking Research Workshop, 2020 Internet protocol standards have been slow to adopt formal protocol description languages and methodologies, and are still largely written as English prose. This makes it hard to check them for correctness, or to automatically derive implementations from standards. Reasons for this are both technical and social.
McQuistin, Stephen +3 more
openaire +1 more source
Advanced Materials Technologies, EarlyView.A porous crystalline sensing layer has been developed in conjunction with a nanomechanical sensor for the sensitive detection of volatile fatty acids (VFAs) in admixture at high relative humidity. The sensitive, selective sensor based on supramolecular design improves the economic viability of anaerobic digesters toward a carbon neutral society ...
Subrata Maji +13 more
wiley +1 more source
Universal Dependency Parsing from Scratch [PDF]
Conference on Computational Natural Language Learning, 2019 This paper describes Stanford’s system at the CoNLL 2018 UD Shared Task. We introduce a complete neural pipeline system that takes raw text as input, and performs all tasks required by the shared task, ranging from tokenization and sentence segmentation,
Peng Qi +3 more
semanticscholar +1 more source