Framester is a hub between FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, as well as other resources. Framester does not simply creates a strongly connected knowledge graph, but also applies a rigorous formal treatment for Fillmore's frame semantics, enabling full-fledged OWL querying and reasoning on the created joint frame-based knowledge graph.

WordNet is a semantic lexicon for the English language that computational linguists and cognitive scientists use extensively. For example, WordNet was a key component in IBM's Watson question-answering computer system

Given a dictionary, we created an algorithm to retrieve two words semantic relation, also to find an outcast word in list of words.

WordNet determines the semantic similarity between words and also determines the outcast noun between a group of nouns based on the WordNet dictionary

WordNet determines the semantic similarity between words and also determines the outcast noun between a group of nouns based on the WordNet dictionary

The API WNetSS (WordNet Semantic Similarity) allows the reproducibility of a wide range of SS measures pertaining to different categories including taxonomic-based, features-based and IC-based measures. This API allows the extraction of the topological parameters from the WordNet “is a” taxonomy which are used to express the semantics of concepts. Also, we give the different ways in expressing the topological parameters depth and the hyponyms’ subgraph. Moreover, an evaluation module is proposed to assess the measures accuracy that can be evaluated and compared according to several widely-used benchmarks through the correlations coefficients.

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Designed and developed an WordNet console app for getting relation between any two words. Using C#, and PFS Algorithm .

Algorithms Course Project

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Getting Shortest common ancestor between two nodes(words) using BFS Algorithm

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A node.js application to serve wordnet semantics and morphosemantic relationships

A one week course on computational lexical semantics, focussing on wordnets and metaphor.

A program for generating semantics and computing polarity of new concepts based on WordNet Semantic Similarity

A practical NLP project using Python and NLTK implementing text preprocessing, tokenization, BoW, TF-IDF, Word2Vec, NER, WordNet semantics, and machine translation.