Which semantic similarity measures in WordNet are available to use on Python with NLTK?

Which semantic similarity measures in WordNet are available to use on Python with NLTK?

On the web page "WordNet" Interface(http://www.nltk.org/howto/wordnet.html), which introduces the command to use semantic similarity measures in WordNet on Python with NLTK, only the following 6 semantic similarity measures are listed: Path Similarity, Wu-Palmer Similarity, Leacock-Chodorow Similarity, Resnik Similarity, Jiang Similarity, and Lin Similarity. How about other semantic similarity measures: Li's Measures, feature-based, and hybrid measures?

Are they not available to use on Python?

According to this academic thesis "A Review of Semantic Similarity Measures in WordNet"(http://www.cartagena99.com/recursos/alumnos/ejercicios/Article%201.pdf), semantic similarity measures are categorized into four classes in WordNet: path length based, information content based, feature-based, and hybrid measures.

More detail, path length based measures include Shortest-path based Measure, Wu & Palmer's Measure, Leakcock & Chodrow's measure, and Li's Measures. Information content based measures include Resnik's Measure, Lin's Measure, and Jiang's Measure.