[PDF][PDF] WordNet:: Similarity-Measuring the Relatedness of Concepts.
T Pedersen, S Patwardhan, J Michelizzi - AAAI, 2004 - cdn.aaai.org
WordNet:: Similarity is a freely available software package that makes it possible to measure
the semantic similarity or relatedness between a pair of concepts (or word senses). It …
the semantic similarity or relatedness between a pair of concepts (or word senses). It …
Unsupervised acquisition of predominant word senses
There has been a great deal of recent research into word sense disambiguation, particularly
since the inception of the Senseval evaluation exercises. Because a word often has more …
since the inception of the Senseval evaluation exercises. Because a word often has more …
CluBERT: A cluster-based approach for learning sense distributions in multiple languages
Abstract Knowing the Most Frequent Sense (MFS) of a word has been proved to help Word
Sense Disambiguation (WSD) models significantly. However, the scarcity of sense …
Sense Disambiguation (WSD) models significantly. However, the scarcity of sense …
Two knowledge-based methods for high-performance sense distribution learning
Knowing the correct distribution of senses within a corpus can potentially boost the
performance of Word Sense Disambiguation (WSD) systems by many points. We present …
performance of Word Sense Disambiguation (WSD) systems by many points. We present …
[PDF][PDF] Lexsemtm: A semantic dataset based on all-words unsupervised sense distribution learning
There has recently been a lot of interest in unsupervised methods for learning sense
distributions, particularly in applications where sense distinctions are needed. This paper …
distributions, particularly in applications where sense distinctions are needed. This paper …
[PDF][PDF] Natural language expression of user policies in pervasive computing environments
The pervasive computing environments of tomorrow will typically consist of a large
heterogeneous collection of networked services. In an ongoing research project, we are …
heterogeneous collection of networked services. In an ongoing research project, we are …
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity
D Yang, Y Yin - Natural Language Engineering, 2022 - cambridge.org
Modelling semantic similarity plays a fundamental role in lexical semantic applications. A
natural way of calculating semantic similarity is to access handcrafted semantic networks …
natural way of calculating semantic similarity is to access handcrafted semantic networks …
Semantic tagprint-tagging and indexing content for semantic search and content management
Existing search and content management technology is facing a challenge of locating
desired content with the exponentially growing volume of documents. An approach for …
desired content with the exponentially growing volume of documents. An approach for …
[PDF][PDF] Towards Improving Synonym Options in a Text Modification Application
J Burstein, T Pedersen - University of Minnesota Supercomputing …, 2010 - d.umn.edu
Abstract The Language MuseTMsystem (LM) 1 is an application that supports classroom
teachers in text modification for middle-and highschool learners who are non-native English …
teachers in text modification for middle-and highschool learners who are non-native English …
Semi-supervised clustering ensemble evolved by genetic algorithm for web video categorization
Abstract Genetic Algorithms (GAs) have been widely used in optimization problems for their
high ability in seeking better and acceptable solutions within limited time. Clustering …
high ability in seeking better and acceptable solutions within limited time. Clustering …