10 ENGLISH BOOKS RELATING TO «WORD SENSE DISAMBIGUATION»
Discover the use of
word sense disambiguation in the following bibliographical selection. Books relating to
word sense disambiguation and brief extracts from same to provide context of its use in English literature.
1
Word Sense Disambiguation: Algorithms and Applications
Covers the topic of word sense disambiguation (WSD) including: the major algorithms, techniques, performance measures, results, philosophical issues, and applications. This book provides an overview of the research across the field.
Eneko Agirre, Philip Glenny Edmonds,
2007
2
Word Sense Disambiguation: The Case for Combinations of ...
This book provides an overview of the field, descriptions of novel research, accounts of previous approaches and methodologies, and an evaluation of a practical computer system that has been found to produce accurate disambiguation ...
3
New Perspectives on Computational and Cognitive Strategies ...
The text also investigates the contribution of different knowledge sources to WSD in relation to this very intrinsic nature of words and senses.
4
The Naïve Bayes Model for Unsupervised
Word Sense ...
This book presents recent advances (from 2008 to 2012) concerning use of the Naïve Bayes model in unsupervised word sense disambiguation (WSD).While WSD, in general, has a number of important applications in various fields of artificial ...
Florentina T. Hristea,
2012
5
Maximum Entropy Model for Korean
Word Sense Disambiguation
1Part of Korean National Corpus, constructed by the Ministry of Culture and Tourism of Korea since 1998.
6
Advanced Intelligent Computing Theories and Applications. ...
Word Sense Disambiguation (WSD) is usually considered to be a pattern
classification to research and it has always being a key problem and one of
difficult points in natural language processing. Statistical learning theory is a
mainstream of ...
De-Shuang Huang, Daniel S. Levine, Donald C. Wunsch,
2008
7
Word Sense Disambiguation for Statistical Machine Translation
In this thesis, we show for the first time that lexical semantics modelling is useful in Statistical Machine Translation (SMT).
Marine Jacinthe Carpuat,
2008
8
Automatic Extraction of Examples for
Word Sense Disambiguation
In the following thesis we present a memory-based word sense disambiguation system, which makes use of automatic feature selection and minimal parameter optimization.
9
Towards High-Performance
Word Sense Disambiguation: ...
This work addresses the above two problems through combining rich linguistic knowledge and machine learning methods.
10
An Investigation of
Word Sense Disambiguation for Improving ...
We perform an experiment to demonstrate the validity of the proposed model.
Matthew John Reinhard Enss,
2006
10 NEWS ITEMS WHICH INCLUDE THE TERM «WORD SENSE DISAMBIGUATION»
Find out what the national and international press are talking about and how the term
word sense disambiguation is used in the context of the following news items.
Miller's WordNet gives AI knowledge
Choosing the correct meaning is known as word sense disambiguation. Human brains do this will apparent ease, but without a UE, how can a computer do this ... «Computerworld, Jun 15»
Why text analytics is so important in search
Text analytics is crucial for word sense disambiguation. Word sense disambiguation is the process of determining what meaning of a word that has multiple ... «TechRadar UK, May 14»
DLPI takes measures for developing Manipuri
... morphological segmentation parsing; part of speech tagging, sentence boundary disambiguation; word sense disambiguation for Manipuri grammar checker. «KanglaOnline, Nov 13»
PW Interview: Tal Rotbart Founder- CTO, SpringSense
PW- You claim to be the world's most accurate Word Sense Disambiguation API in a recent release. What are some of the ways you finetune your NLP libraries. «ProgrammableWeb, May 13»
Research to analyse social media data: IITB-Monash Academy
This process is called Word Sense Disambiguation. ... to analyze a large volume of tweets and determine trends based on the true meaning behind the words. «Times of India, Apr 13»
Opinion: Text Mining in the Clinic
Text mining normally requires a pre-processing phase such as spell checking, sentence splitting, word sense disambiguation, and more. In addition, contextual ... «Scientist, Apr 13»
Machines Will Outsmart Humans. We Better Be Ready
But we know which approaches had the biggest commercial success: search engines, speech recognition, machine translation, word sense disambiguation, and ... «Forbes, Dec 12»
The Language Problem: Jaguars & The Turing Test
I've led you through this rather exhaustive analysis of word sense disambiguation to make a point. Understanding language is tough. And, in many cases, it goes ... «Search Engine Land, Sep 11»
EDGAR Online: A Pure Play on XBRL
That is because the problem of "word sense disambiguation" is handled by XBRL's precisely defined taxonomy of financial concepts and tags. And, the ... «Seeking Alpha, Feb 11»
Gnoesis Develops First Universal Markup Solution for Web Content …
In addition, KODAXIL's built-in inference navigates lists of relations located in contexts, which also offer word sense disambiguation and act as namespaces, ... «PR Web, Apr 09»