[PDF] Top 20 Word Sense Annotation of Polysemous Words by Multiple Annotators
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Word Sense Annotation of Polysemous Words by Multiple Annotators
... whether annotators are allowed to assign multilabels (V/eronis, 1998; Ide et ...2007), sense similarity (Chugur et al., 2002), sense perplexity (Diab, 2004), entropy (Diab, 2004; Palmer et ...of ... See full document
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Embracing Ambiguity: A Comparison of Annotation Methodologies for Crowdsourcing Word Sense Labels
... crowdsourcing word sense annotations, focusing on two key aspects: (1) the annotation methodology itself, and (2) the restric- tion to single sense ...in sense inventory plays an ... See full document
7
Anveshan: A Framework for Analysis of Multiple Annotators’ Labeling Behavior
... an annotation typically addresses the question of whether different anno- tators (effectively) assign the same annotation la- ...different annotators, including agreement coeffi- cients such as ... See full document
9
Real Multi Sense or Pseudo Multi Sense: An Approach to Improve Word Representation
... of polysemous words. For example, when the word star appears together with words like planet, satellite, it may roughly denote a kind of celestial body; when star appears with words ... See full document
10
Context Dependent Sense Embedding
... one word has only one vector as its representation which is problematic for polysemous ...structing multiple sense-specific representation vec- tors for one word by performing ... See full document
9
Number or Nuance: Which Factors Restrict Reliable Word Sense Annotation?
... same words and the same corpus, although both compared manual fine-grained annotation to coarse-grained annotation derived by automatically retagging with clustered ...particular word reached ... See full document
7
Predicting word sense annotation agreement
... The annotation task can be lexical-sample (ls) or all-words ...all-words annotation. The type of annotators can be expert (ex) or crowdsourced ... See full document
6
Some Challenges of Automated Annotation in A Multilingual Scenario
... system. Sense marked corpus for English and other languages have been developed in order to facilitate the task of word sense ...first sense-tagged corpora produced for any language is English ... See full document
8
Crowdsourced Word Sense Annotations and Difficult Words and Examples
... of sense annotations per example allows to explore new perspectives in ...that words with uniform sense distribu- tion have lower ...between annotators has a stronger correlation with ... See full document
7
A Flexible Tool for Manual Word Sense Annotation
... providing annotators with the option to highlight and correct such errors using LX-SenseAnnotator would be ...where multiple languages are used within the same ... See full document
5
Clustering dictionary definitions using Amazon Mechanical Turk
... need word sense disambig- uation (WSD) in order to provide exercises and assessments that match the sense of words being ...expert annotators to build a WSD training set for all the ... See full document
9
Word Sense Disambiguation Using Multiple Contextual Features
... 992 words in the sense inventory. Not all words, however, were polysemous, and some had a small number of sense annotated ...477 polysemous words (247 nouns and 230 verbs) ... See full document
12
Investigations on Word Senses and Word Usages
... Manual word sense assignment is difficult for human annotators (Krishnamurthy and Nicholls, ...fine-grained word sense assignment tasks has ranged between 69% (Kilgarriff and ... See full document
9
More is not always better: balancing sense distributions for all words Word Sense Disambiguation
... We addressed the problem that most WSD systems perform well on the MFS and extremely poorly on the LFS, due to the skewness of the training data to the MFS. We analyzed the impact of adapting the training data with ... See full document
11
Unsupervised All words Word Sense Disambiguation with Grammatical Dependencies
... the Sequence method, it is crucial for the other methods. In the Senseval data not all words in a sentence were tagged as targets, and the Sequence method works only on them. This is not the case for the GR ... See full document
6
Annotating and Predicting Non Restrictive Noun Phrase Modifications
... the word which governs the relative, such as the surface form, its lemma, POS tag, and ...Lexical word embeddings We include the pre- trained word embeddings of the modifier’s head word, ... See full document
10
A Study on Metaphoricity of Duck across Word Classes with Wmatrix and BNCweb Combined — Implications for Learning of Polysemous Words
... The main task of the study is to look into the keyness analysis list, esp. the items whose loglikelihood value is above 6.63, which means the significance of the statistical item is above 99%. According to the procedures ... See full document
9
Unsupervised Most Frequent Sense Detection using Word Embeddings
... The MFS baseline is often hard to beat for any WSD system and it is considered as the strongest baseline in WSD (Agirre and Edmonds, 2007). It has been observed that supervised WSD approaches gener- ally outperform the ... See full document
6
Using Multiple Knowledge Sources for Word Sense Discrimination
... To discriminate senses, an understander can consider a diversity of information, including syntactic tags, word frequencies, collocations, semantic context, role-related expectations, an[r] ... See full document
30
Supervised Approach to Word Sense Disambiguation
... Ambiguous word, Dictionary creation and ...stop words, special character and articles from ...frequency words in a language which do not contribute much to the topic of the ...such words ... See full document
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