Formalized encoding method of action description natural text
The invention discloses a formalized encoding method for an action description natural text, which comprises the following steps of: (1) reading the action description natural text, dividing the action description natural text into sentences, and storing the sentences into a sentence set L; (2) taki...
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creator | ZHAO MEIHAN LYU YUANCE ZHU MINGFAN LI ANBO |
description | The invention discloses a formalized encoding method for an action description natural text, which comprises the following steps of: (1) reading the action description natural text, dividing the action description natural text into sentences, and storing the sentences into a sentence set L; (2) taking any sentence li from L, performing word segmentation to obtain a word set W, and performing part-of-speech tagging to obtain a part-of-speech set P; (3) based on W and P, carrying out dependency syntactic analysis to obtain a dependency relationship set Rel; (4) based on Rel, extracting main components of the sentence li, and storing the main components into a component triple set E; (5) traversing E, and if part description or transformation description of the component triad does not have amatching result in the dictionary, changing the description into closest description of the matching result in the dictionary; (6) based on a dictionary matching method, carrying out formalized coding on each component tripl |
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(2) taking any sentence li from L, performing word segmentation to obtain a word set W, and performing part-of-speech tagging to obtain a part-of-speech set P; (3) based on W and P, carrying out dependency syntactic analysis to obtain a dependency relationship set Rel; (4) based on Rel, extracting main components of the sentence li, and storing the main components into a component triple set E; (5) traversing E, and if part description or transformation description of the component triad does not have amatching result in the dictionary, changing the description into closest description of the matching result in the dictionary; (6) based on a dictionary matching method, carrying out formalized coding on each component tripl</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200915&DB=EPODOC&CC=CN&NR=111666738A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200915&DB=EPODOC&CC=CN&NR=111666738A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHAO MEIHAN</creatorcontrib><creatorcontrib>LYU YUANCE</creatorcontrib><creatorcontrib>ZHU MINGFAN</creatorcontrib><creatorcontrib>LI ANBO</creatorcontrib><title>Formalized encoding method of action description natural text</title><description>The invention discloses a formalized encoding method for an action description natural text, which comprises the following steps of: (1) reading the action description natural text, dividing the action description natural text into sentences, and storing the sentences into a sentence set L; (2) taking any sentence li from L, performing word segmentation to obtain a word set W, and performing part-of-speech tagging to obtain a part-of-speech set P; (3) based on W and P, carrying out dependency syntactic analysis to obtain a dependency relationship set Rel; (4) based on Rel, extracting main components of the sentence li, and storing the main components into a component triple set E; (5) traversing E, and if part description or transformation description of the component triad does not have amatching result in the dictionary, changing the description into closest description of the matching result in the dictionary; (6) based on a dictionary matching method, carrying out formalized coding on each component tripl</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLB1yy_KTczJrEpNUUjNS85PycxLV8hNLcnIT1HIT1NITC7JzM9TSEktTi7KLACz8xJLSosScxRKUitKeBhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoaGhmZmZubGFozExagBKhTCa</recordid><startdate>20200915</startdate><enddate>20200915</enddate><creator>ZHAO MEIHAN</creator><creator>LYU YUANCE</creator><creator>ZHU MINGFAN</creator><creator>LI ANBO</creator><scope>EVB</scope></search><sort><creationdate>20200915</creationdate><title>Formalized encoding method of action description natural text</title><author>ZHAO MEIHAN ; 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(2) taking any sentence li from L, performing word segmentation to obtain a word set W, and performing part-of-speech tagging to obtain a part-of-speech set P; (3) based on W and P, carrying out dependency syntactic analysis to obtain a dependency relationship set Rel; (4) based on Rel, extracting main components of the sentence li, and storing the main components into a component triple set E; (5) traversing E, and if part description or transformation description of the component triad does not have amatching result in the dictionary, changing the description into closest description of the matching result in the dictionary; (6) based on a dictionary matching method, carrying out formalized coding on each component tripl</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Formalized encoding method of action description natural text |
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