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Dozat, 2019 - Google Patents

Arc-factored biaffine dependency parsing

Dozat, 2019

Document ID
16401703092221703216
Author
Dozat T
Publication year

External Links

Snippet

This thesis describes a simple approach to neural arc-factored dependency parsing, building on neural machine learning techniques that have gained considerable popularity in recent years. Dependency parsing is a way of identifying the latent syntactic and semantic …
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Classifications

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    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2705—Parsing
    • G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
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    • G06F17/2765—Recognition
    • G06F17/277—Lexical analysis, e.g. tokenisation, collocates
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    • G06F17/2785—Semantic analysis
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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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    • G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
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    • G06F17/30908—Information retrieval; Database structures therefor; File system structures therefor of semistructured data, the undelying structure being taken into account, e.g. mark-up language structure data

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