[PDF] Top 20 Integrating WordNet and FrameNet using a Knowledge-based Word Sense Disambiguation Algorithm
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Integrating WordNet and FrameNet using a Knowledge-based Word Sense Disambiguation Algorithm
... Although the experimental setting is different, [8] also present a direct evaluation of their integration of WN and FrameNet for the LU induction task [5]. They apply a com- bination of knowledge and ... See full document
6
Using Distributional Similarity for Lexical Expansion in Knowledge based Word Sense Disambiguation
... the sense inventory, and systems were originally expected to mark these “unassignable” senses as ...made using an unpublished (and now lost) version of ... See full document
16
A New Intelligent Topic Extraction Model on Web
... NOP algorithm (DBCO), computing the correlation between topic and the documents in learning ...effective algorithm of topic extraction, and analyzing the limitations of complexity of time and space with a ... See full document
8
Random Walks for Knowledge Based Word Sense Disambiguation
... of WordNet as a LKB. Apart from relations in WordNet, some authors have used semi-automatic and fully auto- matic methods to enrich WordNet with additional ...disambiguated WordNet glosses in ... See full document
28
Unsupervised Word Sense Disambiguation Using Neighborhood Knowledge
... the word collection of a sentence, the semantic similarity between two sentences relies on word’s ...either knowledge-based or corpus-based approach. Knowledge-based measure ... See full document
10
Personalizing PageRank for Word Sense Disambiguation
... a knowledge-based WSD method based on lexical chains called structural semantic intercon- nections ...in Word- Net glosses, the authors also apply the method for labeling text ...frequent ... See full document
9
Distributional Lesk: Effective Knowledge Based Word Sense Disambiguation
... lexical knowledge base with word- and sense ...words using the WordNet hierar- ...before using our adaptation of the Lesk ... See full document
8
Integrating Collocation Features in Chinese Word Sense Disambiguation
... the word sense disambiguation problem including rule-based approaches, knowledge or dictionary based approaches, corpus-based ap- proaches, and hybrid ...corpus- ... See full document
8
Sense Embeddings in Knowledge Based Word Sense Disambiguation
... uses WordNet as a dictionary, and evaluations are performed on two English all-words WSD tasks, because it is easier to compare the performance and the robustness of the method, as the majority of the researches ... See full document
7
The interaction of knowledge sources in word sense disambiguation
... each knowledge source separately, we imple- mented a set of simple disambiguation algorithms, each of which uses the output from a single partial ...Each algorithm takes the result of its partial ... See full document
30
Chinese Word Sense Disambiguation based on Context Expansion
... approaches based on pseudo word have gained much attention in the NLP community (Yarowsky, 1995; Leacock et al, 1998; Mihalcea and Moldovan, 1999; Agirre and Marinez, 2004; Brody and Lapata, 2008; Lu et al, ... See full document
8
Combining Relational and Distributional Knowledge for Word Sense Disambiguation
... to WordNet (Fellbaum, 1998), there are similari- ties as well as considerable ...relation based on centrality, while in Word- Net the hierarchy is ...in WordNet we move from specific to ... See full document
10
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
... Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular ...like WordNet, which are widely utilized in knowledge-based ... See full document
6
Unsupervised, Knowledge Free, and Interpretable Word Sense Disambiguation
... senses based on cluster word features. To build this model, induced word senses are first globally clustered using the Chinese Whispers graph clustering algorithm (Biemann, ...this ... See full document
6
Enriching Wordnet for Word Sense Disambiguation
... the WordNet we must keep multiple glosses (explanations) for that ...overlap based WSD algorithms are usually very sensitive to the exact wording used in the ...a sense s of a word w can ... See full document
6
Techniques for Disambiguation of Polysemy Words: A Review
... automatic word sense disambiguation system for Hindi was made by Sinha, Kashyap, Bhattacharyya, Pandey, and ...Hindi word sense disambiguation with a rule based ... See full document
5
The risk of sub optimal use of Open Source NLP Software: UKB is inadvertently state of the art in knowledge based WSD
... graph-based Word Sense Disambiguation using a pre-existing knowl- edge base such as WordNet, and attained state-of- the-art results among knowledge-based systems ... See full document
5
Combining ConceptNet and WordNet for Word Sense Disambiguation
... extended knowledge resource on WSD performance, the WSD algorithm is not the core of our ...simple knowledge-based algorithm, namely GM (Galley&McKeown, 2003), and our extending ... See full document
9
Inducing Frame Semantic Verb Classes from WordNet and LDOCE
... the sense that lexical units call forth corresponding conceptual structures); and (2) identification of the conceptual structure of semantic ...and word sense disambiguation, as explored to a ... See full document
8
A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge
... 3 using the WordNet 2.1 sense repository that is adopted by SemEval-2007 Task ...days. Disambiguation of 2269 words in the 5 test articles took 4 ... See full document
9
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