Research on the Top-Down Parsing Method for Context-Sensitive Graph Grammars. [PDF]
PLoS ONE, 2015 The parsing problem is one of the key problems of graph grammars. The typical parsing algorithm uses the bottom-up method. The time-complexity of this method is high, and it is difficult to apply.
Yi Wang, XiaoQin Zeng, Han Ding
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Parsing dan Konversi Kalimat Tanya Konfirmatif Menjadi Query Sparql Menggunakan Pendekatan Top-Down Parsing [PDF]
Rekayasa, 2016 Penelitian ini merupakan lanjutan penelitian sebelumnya (Syarief, 2014), yaitu dengan menambahkan fitur pengenalan kalimat tanya konfirmasi, yaitu kalimat tanya yang hanya membutuhkan jawaban ya atau tidak.
Mohammad Syarief
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Probabilistic Top-Down Parsing and Language Modeling [PDF]
Computational Linguistics, 2021 This paper describes the functioning of a broad-coverage probabilistic top-down parser, and its application to the problem of language modeling for speech recognition. The paper first introduces key notions in language modeling and probabilistic parsing,
Brian Roark
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PatCluster: A Top-Down Log Parsing Method Based on Frequent Words [PDF]
IEEE Access, 2023 Logs are a combination of static message type fields and dynamic variable fields, and the accuracy of log parsing affects the result of subsequent log analysis tasks.
Yu Bai, Yongwei Chi, Dan Zhao
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High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images [PDF]
2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, 2012 International audienceWe address the problem of parsing images of building facades. The goal is to segment images, assigning to the resulting regions semantic labels that correspond to the basic architectural elements.
David Ok +3 more
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Top-down Discourse Parsing via Sequence Labelling [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2021 We introduce a top-down approach to discourse parsing that is conceptually simpler than its predecessors (Kobayashi et al., 2020; Zhang et al., 2020). By framing the task as a sequence labelling problem where the goal is to iteratively segment a document
Fajri Koto, Jey Han Lau, Timothy Baldwin
semanticscholar +7 more sources
A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Due to its great importance in deep natural language understanding and various down-stream applications, text-level parsing of discourse rhetorical structure (DRS) has been drawing more and more attention in recent years.
Longyin Zhang +4 more
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Core Semantic First: A Top-down Approach for AMR Parsing [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 We introduce a novel scheme for parsing a piece of text into its Abstract Meaning Representation (AMR): Graph Spanning based Parsing (GSP). One novel characteristic of GSP is that it constructs a parse graph incrementally in a top-down fashion.
Deng Cai, Wai Lam
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Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing [PDF]
Conference on Empirical Methods in Natural Language Processing, 2018 We introduce novel dynamic oracles for training two of the most accurate known shift-reduce algorithms for constituent parsing: the top-down and in-order transition-based parsers.
Daniel Fernández‐González +1 more
semanticscholar +5 more sources
Gait Recognition and Understanding Based on Hierarchical Temporal Memory Using 3D Gait Semantic Folding [PDF]
Sensors, 2020 Gait recognition and understanding systems have shown a wide-ranging application prospect. However, their use of unstructured data from image and video has affected their performance, e.g., they are easily influenced by multi-views, occlusion, clothes ...
Jian Luo, Tardi Tjahjadi
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