Results 51 to 60 of about 124,081 (292)
Head-Driven Statistical Models for Natural Language Parsing
International Conference on Computational Logic, 2003 This article describes three statistical models for natural language parsing. The models extend methods from probabilistic context-free grammars to lexicalized grammars, leading to approaches in which a parse tree is represented as the sequence of ...
M. Collins
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To parse or not to parse [PDF]
Proceedings of the 13th conference on Computational linguistics -, 1990 We have designed and implemented a text processing system that can extract important information from hundreds of paragraphs per hour and can be transported within weeks to a new domain. The system performs efficiently because it determines the level of processing required to understand a text. This "skimming" method identifies surface relations in the
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On the Complexity of CCG Parsing [PDF]
Computational Linguistics, 2018 We study the parsing complexity of Combinatory Categorial Grammar (CCG) in the formalism of Vijay-Shanker and Weir ( 1994 ). As our main result, we prove that any parsing algorithm for this formalism will take in the worst case exponential time when the size of the grammar, and not only the length of the input sentence, is included in the analysis ...
Marco Kuhlmann +2 more
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Correlating Edge with Parsing for Human Parsing
Electronics, 2023 Human parsing has great application prospects in the field of computer vision, but there are still many problems. In the existing algorithms, the problems of small-scale target location and the problem of background occlusion have not been fully resolved, which will lead to wrong segmentation or incomplete segmentation.
Kai Gong, Xiuying Wang, Shoubiao Tan
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Advanced Science, EarlyView.In superficial second‐degree burn wounds, Gb3 turns on genes related to papillary cells through the FGF2 signaling pathway. This increases the ability of cells to break down fibrin and decreases fibrosis, which ultimately prevents scar formation in burn injuries.
Sujie Xie +13 more
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Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods
Advanced Electronic Materials, EarlyView.A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun +4 more
wiley +1 more source
Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe
Conference on Computational Natural Language Learning, 2017 Many natural language processing tasks, including the most advanced ones, routinely start by several basic processing steps – tokenization and segmentation, most likely also POS tagging and lemmatization, and commonly parsing as well.
Milan Straka, Jana Straková
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End-to-End Wireframe Parsing [PDF]
IEEE International Conference on Computer Vision, 2019 We present a conceptually simple yet effective algorithm to detect wireframes in a given image. Compared to the previous methods which first predict an intermediate heat map and then extract straight lines with heuristic algorithms, our method is end-to ...
Yichao Zhou, Haozhi Qi, Y. Ma
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opXRD: Open Experimental Powder X‐Ray Diffraction Database
Advanced Intelligent Discovery, EarlyView.We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek +23 more
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Devil in the Details: Towards Accurate Single and Multiple Human Parsing [PDF]
AAAI Conference on Artificial Intelligence, 2018 Human parsing has received considerable interest due to its wide application potentials. Nevertheless, it is still unclear how to develop an accurate human parsing system in an efficient and elegant way.
Ting Liu +6 more
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