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Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Clarissa Xavier
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Clarissa Xavier:

Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Taschenbuch

2014, ISBN: 3668109222

Paperback, [EAN: 9783668109223], GRIN Verlag, GRIN Verlag, Book, [PU: GRIN Verlag], GRIN Verlag, Doctoral Thesis / Dissertation from the year 2014 in the subject Computer Science - Miscellaneous, , course: Graduate Program in Computer Science, language: English, abstract: The Open Information Extraction (Open IE) is a relation extraction paradigm in which the target relationships cannot be specified in advance, and it aims to overcome the limitations imposed by traditional IE methods, such as domain-dependence and scalability. In order to extend Open IE to extract relationships that are not expressed by verbs from texts in English, we introduce CompIE, a component that learns relations expressed in noun compounds (NCs), such as (oil, extracted from, olive) from olive oil, or in adjective-noun pairs (ANs), such as (moon, that is, gorgeous) from gorgeous moon. CompIE input is a text file, and the output is a set of triples describing binary relationships. The architecture comprises two main tasks: NCs and ANs Extraction (1) and NCs and ANs Interpretation (2). The first task generates a list of NCs and ANs from the input corpus. The second task performs the interpretation of NCs and ANs and generates the tuples that describe the relations extracted from the corpus. In order to study CompIE's feasibility, we perform an evaluation based on hypotheses. In order to implement the strategies to validate each hypothesis we have built a prototype. The results show that our solution achieves 89% Precision and demonstrate that CompIE reaches its goal of extending Open IE paradigm extracting relationships within NCs and ANs., 5, Computers & Technology, 549726, Business Technology, 3448, Certification, 3508, Computer Science, 549646, Databases & Big Data, 6133988011, Digital Audio, Video & Photography, 87, Games & Strategy Guides, 4134, Graphics & Design, 549652, Hardware & DIY, 10806606011, History & Culture, 69766, Internet & Social Media, 377557011, Mobile Phones, Tablets & E-Readers, 3652, Networking & Cloud Computing, 3756, Operating Systems, 3839, Programming, 3952, Programming Languages, 377560011, Security & Encryption, 4053, Software, 3510, Web Development & Design, 1000, Subjects, 283155, Books

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Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Clarissa Xavier
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Clarissa Xavier:

Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Taschenbuch

2014, ISBN: 9783668109223

[ED: Taschenbuch], [PU: GRIN Verlag], Neuware - Doctoral Thesis / Dissertation from the year 2014 in the subject Computer Science - Miscellaneous, , course: Graduate Program in Computer Science, language: English, abstract: The Open Information Extraction (Open IE) is a relation extraction paradigm in which the target relationships cannot be specified in advance, and it aims to overcome the limitations imposed by traditional IE methods, such as domain-dependence and scalability. In order to extend Open IE to extract relationships that are not expressed by verbs from texts in English, we introduce CompIE, a component that learns relations expressed in noun compounds (NCs), such as (oil, extracted from, olive) from olive oil, or in adjective-noun pairs (ANs), such as (moon, that is, gorgeous) from gorgeous moon. CompIE input is a text file, and the output is a set of triples describing binary relationships. The architecture comprises two main tasks: NCs and ANs Extraction (1) and NCs and ANs Interpretation (2). The first task generates a list of NCs and ANs from the input corpus. The second task performs the interpretation of NCs and ANs and generates the tuples that describe the relations extracted from the corpus. In order to study CompIE's feasibility, we perform an evaluation based on hypotheses. In order to implement the strategies to validate each hypothesis we have built a prototype. The results show that our solution achieves 89% Precision and demonstrate that CompIE reaches its goal of extending Open IE paradigm extracting relationships within NCs and ANs. -, [SC: 0.00], Neuware, gewerbliches Angebot, 210x148x15 mm, [GW: 330g]

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Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Clarissa Xavier
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Clarissa Xavier:
Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Taschenbuch

2014

ISBN: 9783668109223

[ED: Taschenbuch], [PU: GRIN Verlag], Neuware - Doctoral Thesis / Dissertation from the year 2014 in the subject Computer Science - Miscellaneous, , course: Graduate Program in Computer Science, language: English, abstract: The Open Information Extraction (Open IE) is a relation extraction paradigm in which the target relationships cannot be specified in advance, and it aims to overcome the limitations imposed by traditional IE methods, such as domain-dependence and scalability. In order to extend Open IE to extract relationships that are not expressed by verbs from texts in English, we introduce CompIE, a component that learns relations expressed in noun compounds (NCs), such as (oil, extracted from, olive) from olive oil, or in adjective-noun pairs (ANs), such as (moon, that is, gorgeous) from gorgeous moon. CompIE input is a text file, and the output is a set of triples describing binary relationships. The architecture comprises two main tasks: NCs and ANs Extraction (1) and NCs and ANs Interpretation (2). The first task generates a list of NCs and ANs from the input corpus. The second task performs the interpretation of NCs and ANs and generates the tuples that describe the relations extracted from the corpus. In order to study CompIE's feasibility, we perform an evaluation based on hypotheses. In order to implement the strategies to validate each hypothesis we have built a prototype. The results show that our solution achieves 89% Precision and demonstrate that CompIE reaches its goal of extending Open IE paradigm extracting relationships within NCs and ANs. -, [SC: 3.00], Neuware, gewerbliches Angebot, 210x148x15 mm, [GW: 330g]

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Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Clarissa Xavier
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Clarissa Xavier:
Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Taschenbuch

ISBN: 3668109222

Taschenbuch, [EAN: 9783668109223], Grin Verlag, Grin Verlag, Book, [PU: Grin Verlag], Grin Verlag, 62991011, Computer & Internet, 63910011, Apple, 63716011, Betriebssysteme, 63260011, Certification Central, 63595011, Datenbanken, 377645011, Digitale Fotografie & Video, 63904011, Digitale Musik, 1316655031, Dokumentenmanagement, 63647011, Grafikdesign, 63681011, Hardware, 63851011, Home Computing, 63336011, Informatik, 63462011, Microsoft, 377660011, Mobile & Wireless EDV, 63116011, Netzwerke, 63381011, Programmieren, 377670011, Projektmanagement, 377663011, Sicherheit & Verschlüsselung, 63160011, Software, 63549011, Spiel- & Strategieführer, 62992011, Webentwicklung, 63532011, Wirtschaft & Kultur, 54071011, Genres, 52044011, Fremdsprachige Bücher

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Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Clarissa Xavier
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Clarissa Xavier:
Learning Non-Verbal Relations Under Open Information Extraction Paradigm - Taschenbuch

2015, ISBN: 3668109222

Paperback, [EAN: 9783668109223], GRIN Verlag, GRIN Verlag, Book, [PU: GRIN Verlag], 2015-12-14, GRIN Verlag, Doctoral Thesis / Dissertation from the year 2014 in the subject Computer Science - Miscellaneous, c...., 71, Computing & Internet, 269189, Certification, 269265, Computer Science, 269899, Databases, 14288081, Digital Lifestyle, 14288151, Digital Music, 13731411, Digital Photography, 14263921, Digital Video, 269655, Hardware, 10781841, Mac OS, 269602, Microsoft Windows, 269520, Networking & Security, 403958, New to Computing, 408230, PC & Video Games, 14224461, Professionals, 269678, Programming, 269870, Software & Graphics, 269623, UNIX & Linux, 269406, Web Development, 1025612, Subjects, 266239, Books

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Learning Non-Verbal Relations Under Open Information Extraction Paradigm
Autor:

Xavier, Clarissa

Titel:

Learning Non-Verbal Relations Under Open Information Extraction Paradigm

ISBN-Nummer:

9783668109223

Detailangaben zum Buch - Learning Non-Verbal Relations Under Open Information Extraction Paradigm


EAN (ISBN-13): 9783668109223
ISBN (ISBN-10): 3668109222
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2015
Herausgeber: Grin Verlag

Buch in der Datenbank seit 20.12.2015 22:00:01
Buch zuletzt gefunden am 17.06.2016 20:55:59
ISBN/EAN: 9783668109223

ISBN - alternative Schreibweisen:
3-668-10922-2, 978-3-668-10922-3

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