[PDF] Top 20 Word Sense Disambiguation Using Multiple Contextual Features
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Word Sense Disambiguation Using Multiple Contextual Features
... perform sense tagging automatically. Sense grouping in OntoNotes has been calibrated to ensure that ITA averages at least ...OntoNotes sense tags and definitions for the word arm (noun ...the ... See full document
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Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation
... binary features representing the possible values of a given sequence of part of speech tags outperforms one based on individ- ual ...obtained using the parts of speech of words following the target ...by ... See full document
8
Unsupervised, Knowledge Free, and Interpretable Word Sense Disambiguation
... In word sense disambiguation (WSD), knowledge-based systems tend to be much more interpretable than knowledge-free counterparts as they rely on the wealth of manually-encoded elements representing ... See full document
6
Word Sense Disambiguation vs Statistical Machine Translation
... employ features as described by Yarowsky and Florian (2002) in their “feature-enhanced naive Bayes model”, with position-sensitive, syntactic, and local collocational ... See full document
8
Enriching Wordnet for Word Sense Disambiguation
... the sense bag with more information leading to higher degrees of overlap for the most appropriate sense of a word in question, thereby achieving better quality word sense ... See full document
6
Word Sense Disambiguation Using Decomposable Models
... In our approach to disambiguation, a contextual feature is judged to be informative i.e., correlated with the sense tag of the ambiguous word if the model for independence between that f[r] ... See full document
8
Supervised Approach to Word Sense Disambiguation
... a word is activated by the use of the word in a particular ...a word/lexicon or a phrase has multiple meanings associated with ...it. Word Sense Disambiguation (WSD) aims ... See full document
6
Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis
... the contextual S/O classifier, (Akkaya et ...target word instance is con- textually O and SWSD decides that it is used in a S sense, then SWSD overrules the contextual S/O clas- sifier’s ... See full document
10
Word Sense Disambiguation using Static and Dynamic Sense Vectors
... one sense among the semantically ambiguous ones of the ...same sense (Rigau, et al., 1997). It is also true that contextual words nearby an ambiguous word give more effective patterns or ... See full document
7
Word Sense Disambiguation Based on Lexical and Semantic Features Using Naive Bayes Classifier
... each word against all words previously ...current word and any possible sense of a previous word, a connection is established between the appropriate words and the ...each sense of an ... See full document
10
Subjectivity Word Sense Disambiguation
... pure contextual interpre- tation. For SWSD, the context of the word is con- sidered in order to perform the task, but the sub- jectivity is determined solely by the ...full contextual interpretation ... See full document
10
A Review on Word Sense Disambiguation
... Collection of the dataset is the first step. If a necessary expert is accessible, after that s/he could suggest which fields (attributes, features) are the most informative [4]. If not, then the simplest method ... See full document
6
Multilingual Word Sense Disambiguation Using Wikipedia
... help disambiguation. First, two different senses of the target ambiguous word may be translated into a different word in the supporting ...to word alignments, knowl- edge of the target ... See full document
9
Word Sense Disambiguation using a Bidirectional LSTM
... for word sense ...to sense labels, and makes ef- fective use of word ...datasets, using identical hyperparameter settings, which are in turn tuned on a third set of held out ...specific ... See full document
6
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
... stricted by role assignments. In the first case, the scenario was a project meeting about the devel- opment of a new TV remote control; participant roles were project manager, industrial designer, marketing expert, etc. ... See full document
9
Integrating Collocation Features in Chinese Word Sense Disambiguation
... one word implies the co-occurrence of an- other one such as “ ग़ࣙ㺅 ” (“burden of his- tory”), while strong collocations allows very limited substitution of the components, for ex- ample, “ ഄᮍ䰶᷵ ” (“local ... See full document
8
Simple Features for Chinese Word Sense Disambiguation
... verb sense and that occurred more than three times in these ...verb sense and that occurred more than 25 times in the ...common sense of jian4. For each word, a sense entry in the lexi- ... See full document
7
Syntactic Features for High Precision Word Sense Disambiguation
... extracted features and tag the target word in the test ...coarse word sense differences (two or three senses) if enough training material is ...finer-grained sense differences ... See full document
7
Word Sense Disambiguation with Multilingual Features
... with features drawn from multiple languages in order to generate a more robust and more effective vector-space representation that can be used for the task of word sense ...of features ... See full document
10
Improving Word Sense Disambiguation Using Topic Features
... The F-measure result we achieve on Senseval-2 test data is shown in Table 4. Our four systems are listed as the top four entries in the table. Soft Tag refers to the soft tagging Bayesian network ap- proach. Note that we ... See full document
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