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Automatic Extraction Of Examples For Word Sense Disambiguation


Automatic Extraction Of Examples For Word Sense Disambiguation
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Automatic Extraction Of Examples For Word Sense Disambiguation


Automatic Extraction Of Examples For Word Sense Disambiguation
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Author : Desislava Zhekova
language : en
Publisher: GRIN Verlag
Release Date : 2014-01-13

Automatic Extraction Of Examples For Word Sense Disambiguation written by Desislava Zhekova and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-13 with Foreign Language Study categories.


Master's Thesis from the year 2009 in the subject Communications - Specialized communication, grade: 1.3, University of Tubingen (Seminar für Sprachwissenschaft), course: Computerlinguistik, language: English, abstract: In the following thesis we present a memory-based word sense disambiguation system, which makes use of automatic feature selection and minimal parameter optimization. We show that the system performs competitive to other state-of-art systems and use it further for evaluation of automatically acquired data for word sense disambiguation. The goal of the thesis is to demonstrate that automatically extracted examples for word sense disambiguation can help increase the performance of supervised approaches. We conducted several experiments and discussed their results in order to illustrate the advantages and disadvantages of the automatically acquired data.



Automatic Acquisition Of Sense Examples For Word Sense Disambiguation


Automatic Acquisition Of Sense Examples For Word Sense Disambiguation
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Author : Xinglong Wang
language : en
Publisher:
Release Date : 2007

Automatic Acquisition Of Sense Examples For Word Sense Disambiguation written by Xinglong Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.




Word Sense Disambiguation


Word Sense Disambiguation
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Author : Eneko Agirre
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-16

Word Sense Disambiguation written by Eneko Agirre and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-16 with Language Arts & Disciplines categories.


This is the first comprehensive book to cover all aspects of word sense disambiguation. It covers major algorithms, techniques, performance measures, results, philosophical issues and applications. The text synthesizes past and current research across the field, and helps developers grasp which techniques will best apply to their particular application, how to build and evaluate systems, and what performance to expect. An accompanying Website extends the effectiveness of the text.



Terminology Extraction


Terminology Extraction
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-05

Terminology Extraction written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Computers categories.


What Is Terminology Extraction Information extraction includes a number of subtasks, one of which is terminology extraction. The purpose of terminology extraction is to mechanically extract pertinent terms from a given corpus in order to fulfill the goal of the process. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Terminology extraction Chapter 2: Natural language processing Chapter 3: Text mining Chapter 4: WordNet Chapter 5: Word-sense disambiguation Chapter 6: Statistical semantics Chapter 7: Ontology learning Chapter 8: Knowledge extraction Chapter 9: Automatic taxonomy construction Chapter 10: Keyword extraction (II) Answering the public top questions about terminology extraction. (III) Real world examples for the usage of terminology extraction in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of terminology extraction' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of terminology extraction.



Information Extraction


Information Extraction
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Author : Maria T. Pazienza
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-10-06

Information Extraction written by Maria T. Pazienza and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-10-06 with Computers categories.


"By investigating the general structures of natural language and logic as well as relevant software engineering methodologies, the lectures presented in this book attempt the development of principled techniques for domain-independent IE. The book is based on the Second International School on Information Extraction, SCIE-99, held in Frascati near Rome, Italy in June/July 1999."--BOOK JACKET.



Information Retrieval Technology


Information Retrieval Technology
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Author : Mohamed Vall Mohamed Salem
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-12-02

Information Retrieval Technology written by Mohamed Vall Mohamed Salem and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-02 with Computers categories.


This book constitutes the refereed proceedings of the 7th Asia Information Retrieval Societies Conference AIRS 2011, held in Dubai, United Arab Emirates, in December 2011. The 31 revised full papers and 25 revised poster papers presented were carefully reviewed and selected from 132 submissions. All current aspects of information retrieval - in theory and practice - are addressed; the papers are organized in topical sections on information retrieval models and theories; information retrieval applications and multimedia information retrieval; user study, information retrieval evaluation and interactive information retrieval; Web information retrieval, scalability and adversarial information retrieval; machine learning for information retrieval; natural language processing for information retrieval; arabic script text processing and retrieval.



Automatic Syntactic Analysis Based On Selectional Preferences


Automatic Syntactic Analysis Based On Selectional Preferences
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Author : Alexander Gelbukh
language : en
Publisher: Springer
Release Date : 2018-02-28

Automatic Syntactic Analysis Based On Selectional Preferences written by Alexander Gelbukh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-28 with Technology & Engineering categories.


This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view.





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Author :
language : en
Publisher: IOS Press
Release Date :

written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Computational Linguistics And Intelligent Text Processing


Computational Linguistics And Intelligent Text Processing
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Author : Alexander Gelbukh
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-02-16

Computational Linguistics And Intelligent Text Processing written by Alexander Gelbukh and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-16 with Computers categories.


This book constitutes the refereed proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2009, held in Mexico City, Mexico in March 2009. The 44 revised full papers presented together with 4 invited papers were carefully reviewed and selected from numerous submissions. The papers cover all current issues in computational linguistics research and present intelligent text processing applications.



The People S Web Meets Nlp


The People S Web Meets Nlp
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Author : Iryna Gurevych
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-03

The People S Web Meets Nlp written by Iryna Gurevych and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-03 with Language Arts & Disciplines categories.


Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP). Various NLP tasks utilize such resources to substitute for or supplement conventional lexical semantic resources and linguistically annotated corpora. These resources also provide an extensive body of texts from which valuable knowledge is mined. There are an increasing number of community efforts to link and maintain multiple linguistic resources. This book aims offers comprehensive coverage of CCLR-related topics, including their construction, utilization in NLP tasks, and interlinkage and management. Various Bachelor/Master/Ph.D. programs in natural language processing, computational linguistics, and knowledge discovery can use this book both as the main text and as a supplementary reading. The book also provides a valuable reference guide for researchers and professionals for the above topics.