[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 …

Unsupervised acquisition of predominant word senses

D McCarthy, R Koeling, J Weeds… - Computational …, 2007 - direct.mit.edu
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 …

CluBERT: A cluster-based approach for learning sense distributions in multiple languages

T Pasini, F Scozzafava, B Scarlini - … of the 58th Annual Meeting of …, 2020 - aclanthology.org
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 …

Two knowledge-based methods for high-performance sense distribution learning

T Pasini, R Navigli - Proceedings of the AAAI Conference on Artificial …, 2018 - ojs.aaai.org
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 …

[PDF][PDF] Lexsemtm: A semantic dataset based on all-words unsupervised sense distribution learning

A Bennett, T Baldwin, JH Lau… - Proceedings of the …, 2016 - aclanthology.org
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 …

[PDF][PDF] Natural language expression of user policies in pervasive computing environments

J Weeds, B Keller, D Weir, I Wakeman… - Proceedings of OntoLex …, 2004 - Citeseer
The pervasive computing environments of tomorrow will typically consist of a large
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 …

Semantic tagprint-tagging and indexing content for semantic search and content management

M Kalender, J Dang, S Uskudarli - 2010 IEEE Fourth …, 2010 - ieeexplore.ieee.org
Existing search and content management technology is facing a challenge of locating
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 …

Semi-supervised clustering ensemble evolved by genetic algorithm for web video categorization

A Mahmood, T Li, Y Yang, H Wang - … 14-16, 2013, Proceedings, Part II 9, 2013 - Springer
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 …