[PDF] Top 20 FastSense: An Efficient Word Sense Disambiguation Classifier
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FastSense: An Efficient Word Sense Disambiguation Classifier
... content word of a given sen- tence using a linear kernel-based SVM (Joachims, ...of word em- beddings achieves an improvement in WSD compared to standard ...requires Word- Net, a dependency parser ... See full document
5
Word Sense Disambiguation Based on Lexical and Semantic Features Using Naive Bayes Classifier
... the word sense ...for word sense disambiguation are evaluated and a method which is proposed based on the concept, structure and meaning of the ... See full document
10
Subjectivity Word Sense Disambiguation
... contextual classifier labels an in- stance as S, but (1) SWSD determines that it has an O sense, (2) the contextual classifier’s confi- dence is low, and (3) there is no other subjective keyword in the same ... See full document
10
Automatic Domain Assignment for Word Sense Alignment
... Bayes classifier, Word Sense Disambiguation and rules for assigning WN Domains to nominal sense descriptions of a lexicographic dictionary, the Senso Comune De Mauro ... See full document
5
Word Sense Disambiguation for Malayalam in a Conditional Random Field Framework
... explicit sense distinctions for assigning the correct sense of a word in ...of word usages from large collections of text ...learns sense classifiers from annotated data with minimal or ... See full document
8
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
... Several studies have concentrated specifically on the quality aspect of the MTurk annotations. They investigated methods to assess annotation quality and to aggregate multiple noisy annotations for high reliability. ... See full document
9
Embedding Senses for Efficient Graph based Word Sense Disambiguation
... In this paper we have presented a WSD method trained on a synthetic corpus composed of random walks over an LKB’s graph. This method has been shown to be very efficient, disambiguating thou- sands of words per ... See full document
5
A comparison of Named Entity Disambiguation and Word Sense Disambiguation
... (the SENSE variant): given the entities that a dictionary lists for the target string, we include as training examples all contexts that apply to these entities, regardless of their anchor ...a classifier ... See full document
8
Domain Kernels for Word Sense Disambiguation
... ically acquired from corpora in a totally unsuper- vised way. Experimental results show that the use of Domain Models allows us to reduce the amount of training data, opening an interesting research di- rection for all ... See full document
8
Sense Embeddings in Knowledge Based Word Sense Disambiguation
... of sense embeddings creation and Lesk extension can be easily adapted to many language, requiring only a set of unannotated corpora, and a typical dictionary, thus, giving the possibility to create an ... See full document
7
Word Sense Disambiguation with Multilingual Features
... monolingual word sense disambiguation ...target word may be translated into other languages by using different words, which constitute unique, yet highly salient features that effectively ... See full document
10
A word sense disambiguation corpus for Urdu
... proper sense of a word in a particular ...one word from the left, and one word from right side of target ...target word and so ...target word are used to form a feature vector, ... See full document
22
Word Sense Disambiguation for Machine Translation
... the word translation model achieves much better performance on word translation than this baseline model; thus, we would expect the word translation model to improve accu- racy when used to pick sets ... See full document
8
Modeling Consensus: Classifier Combination for Word Sense Disambiguation
... single classifier performance across different lan- guages and data ...ent classifier combination methods (and their meta- voting consensus), each of which outperforms both the single best classifier ... See full document
8
Robust and Efficient Page Rank for Word Sense Disambiguation
... employed disambiguation is carried out by ranking the graph ...a word or sentence oriented ...target word, as the entire sen- tence can be coded into the personalization ...each word in a sen- ... See full document
9
Enriching Wordnet for Word Sense Disambiguation
... linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing, which governs the process of identifying which sense of a word ...the word has ... See full document
6
Psycholinguistics, Lexicography, and Word Sense Disambiguation
... on sense-tagged examples, using a wide range of features extracted from the text approximating a variety of knowledge sources deemed useful for the ...like sense granularity, availability of training data, ... See full document
10
Word sense disambiguation and information retrieval
... Before explaining experimental detail and results, it is necessary to describe the test collection that was used. The collection chosen for the experiments was the Reuters text categorisation collection (created to test ... See full document
11
Error Driven Word Sense Disambiguation
... In the following sections we describe i the resources we used Penn Tree Bank, 45 upper level WordNet tags; ii the experiment we ran using rule induction techniques on functional relation[r] ... See full document
5
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[.] ... See full document
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