Papers by Steven Neale

2 papers
A Survey on Automatically-Constructed WordNets and their Evaluation: Lexical and Word Embedding-based Approaches (L18-1)

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Challenge: WordNets are lexical databases in which groups of synonyms are stored according to the semantic relationships between them.
Approach: This paper describes various approaches to constructing WordNets automatically by leveraging traditional lexical resources and newer trends such as word embeddings.
Outcome: The proposed methods leverage traditional lexical resources and newer trends such as word embeddings to build and evaluate WordNets.
Leveraging Lexical Resources and Constraint Grammar for Rule-Based Part-of-Speech Tagging in Welsh (L18-1)

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Challenge: POS tags are based on pre-annotated text, but there is not enough data to train a statistical POS tagger in lesser-resourced languages such as Welsh.
Approach: They propose a rule-based POS tagger for Welsh based on the VISL Constraint Grammar parser and extract a list of possible POS tags for each word token in a running text.
Outcome: The proposed approach is particularly useful in dealing with some of the specific intricacies of Welsh, such as morphological changes and word mutations.

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