Sense disambiguation
Enriching Wordnet for Word Sense Disambiguation
... word-sense disambiguation (WSD) is an open problem of natural language processing, which governs the process of identifying which sense of a word ...manually sense-annotated examples, to ...
6
Word Sense Disambiguation using a dictionary for sense similarity measure
... word sense disambiguation on definitions of the dictionary itself (section 5), but the method is expected to be more general, although this has not been tested ...
7
Word Sense Disambiguation for Machine Translation
... In this paper, we address a different formulation of the word-sense disambiguation task. Rather than considering this task on its own, we consider a task of disambiguating words for the purpose of some ...
8
Personalizing PageRank for Word Sense Disambiguation
... Word Sense Disambiguation (WSD) is a key enabling-technology that automatically chooses the intended sense of a word in ...frequent sense (MFS) baseline 1 by a small ...
9
Cross lingual Word Sense Disambiguation for Predicate Labelling of French
... In this paper, we present a knowledge-light global approach to the cross-lingual transfer of semantic annnotation that aggregates information across the whole parallel corpus. Previous work has transferred annotations ...
10
Word Sense Disambiguation using Conceptual Density
... Word Sense Disambiguation using Conceptual Density Word Sense Disambiguation using Conceptual Density Eneko Agirre* Lengoaia eta Sistema Informatikoak saila Euskal Herriko Universitatea p k 649, 20080[.] ...
7
Word Sense Disambiguation using Static and Dynamic Sense Vectors
... word sense disambiguation for English words using static and dynamic sense ...static sense vectors for each ...dynamic sense vectors, which had more discriminative power, by reducing ...
7
Chinese Word Sense Disambiguation based on Context Expansion
... Word Sense Disambiguation (WSD), the task of identifying the intended meaning (sense) of words in a given context is one of the most important problem in natural language ...
8
Error Driven Word Sense Disambiguation
... Error Driven Word Sense Disambiguation Error D r i v e n W o r d S e n s e D i s a m b i g u a t i o n L u c a D i n i a n d V i t t o r i o D i T o m a s o F r 6 d 6 r i q u e S e g o n d C E L I X e[.] ...
5
Syntactic Features for High Precision Word Sense Disambiguation
... classification rule by linearly combining many weak classifiers, each of which may be only moderately accurate (Freund, 1997). In these experiments, a generalized version of the Boost algorithm has been used, (Schapire, ...
7
Word Sense Disambiguation Focusing on POS Tag Disambiguation in Persian:
... The present study deals with ambiguity at word level focusing on homographs. In different languages, homographs may cause ambiguity in text processing. In Persian, the number of homographs is high due to its orthographic ...
16
Word Sense Disambiguation vs Statistical Machine Translation
... word sense disambiguation models actu- ally have anything to offer to full statistical machine translation ...essential disambiguation components within larger applications like machine ...
8
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
... Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Diction[.] ...
6
A New Approach to Word Sense Disambiguation
... A New Approach to Word Sense Disambiguation A N e w A p p r o a c h t o W o r d S e n s e D i s a m b i g u a t i o n Rebecca Bruce and Janyce Wiebe The Computing Research Lab New Mexico State Univers[.] ...
6
Word Sense Disambiguation Using Statistical Models of Roget’s Categories Trained on Large Corpora
... Word Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora Word Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora Davi[.] ...
7
Unsupervised Relation Discovery with Sense Disambiguation
... possible sense per ...into sense clusters using local and global features. We merge these sense clus- ters into semantic relations using hierarchical agglomerative ...without sense ...
9
Semi supervised training of a Kernel PCA Based Model for Word Sense Disambiguation
... word sense disambiguation based on Kernel Prin- cipal Component Analysis (KPCA), with experiments showing that it can further improve accuracy over supervised KPCA models that have achieved WSD accuracy ...
7
Supervised Approach to Word Sense Disambiguation
... Concept-Based Disambiguation (CBD),[1] a novel framework that utilizes recent semantic analysis techniques to represent both the context of the word and its senses in a high-dimensional space of natural ...the ...
6
A word sense disambiguation corpus for Urdu
... Word Sense Disambiguation (WSD) is to correctly i- dentify the meaning of a word in ...word sense ambiguities and these are often hard to resolve ...
22
Domain Kernels for Word Sense Disambiguation
... In this paper we present a supervised Word Sense Disambiguation methodol- ogy, that exploits kernel methods to model sense distinctions. In particular a combi- nation of kernel functions is adopted ...
8