WordNet Fundamentals.

https://miro.medium.com/max/1200/0*Y34vQnHJCTnpBjiJ

Original Source Here

Natural Language Processing

WordNet Fundamentals.

In this article we will look at WordNet

Photo by Brett Jordan on Unsplash

WordNet is a database of words in the English language. Unlike a dictionary that’s organized alphabetically, WordNet is organized by concept and meaning. In fact, traditional dictionaries were created for humans, but worse needed is a lexical resource more suited for a computer. This is where WordNet becomes useful. So WordNet is a network of English words linked by the lexical and semantic relations. Noun, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms called synset. Each expressing a distinct concept.

Synsets are interlinked by the means of conceptual-semantic and lexical relations. So the resulting network of meaningfully related words and concepts can be navigated with the WordNet browser. WordNet is freely available and publicly available for download. This figure shows the WordNet Grouping, via synsets WordNet brings together specific word senses. So as a result, words that are found in the close proximity to one another in the network are semantically disambiguated. A synset is also linked to the other synsets by semantic relations.

As can be seen in this diagram, and these relations are based on the concepts and therefore give us valuable information about the words. For example, in this diagram, the Bird is to Animal and then particularly Canary is to Bird. So this is our relation of the Canary to Bird and Bird to Animal.

Similarly, Fish is another animal, and Fish has a relation to the animal and Trout and Shark are related to the fish. So for example, in the case of, the verbs communicate, talk, whisper are all about talking, but the manner goes from journal to specific.

A similar example with the nouns would be furniture, bed, bunk bed and example of the part whole relation is leg chair. So these sorts of relations that captured in the WordNet. The nodes of the WordNets are, synsets. Links between the two nodes are either conceptual, semantic like bird and feeder, or lexical, like feeder and feeder. So lexical links subsume conceptual semantic links.

As you can see in this figure, synonyms are diverse that have similar meanings, so synonymy runs along the X-axis. Often, context determines which synonym is best suited. Like in this case you can see the bird and the fish are, you can see in the lower part of this diagram in which we have the space. Then the space has the four subcategories.

You can say they’re related like in general space the space has the dimension space has a form, space has motion. So what would be motion to space? Then, further we can categorize the dimensions into size, expansion, distance, interval, contiguity then further expansion can be divided into reduction, deflation, shrinkage, curtailment, condensation.

So along the X-axis we have the synonymy and along the Y-axis we have hyponymy. So synonymy, Synonyms are words that have similar meaning, often context determines which synonymy is best suited. But vertically we have hyponymy and hypernymy. There’s also a relation like you can say here bird is a hyper name of animal. Animal is the hypernym of bird, so it’s a relation, like Robin is a hypernym of bird, since Robin is a type of bird.

Likewise, bird is a hypernym of Robin, so thus hypernyms are synsets that are more general, whereas hyponyms are more specific. So in this figure we can see like fish is the hypernym of animal and animal is the hypernym of fish, similarly, dimensions is the hypernym of space, and space is the hypernym of dimensions. So along the X-axis we have the synonymy and along the Y-axis we have the hyponymy. So synonymy and hyponymy.

So elements of the WordNet are hyponymy and hypernymy. So it’s our relation, like Robin is a hyponym of birds. Since Robin is a type of bird. Likewise, bird is a hypernym of Robin, thus hypernyms are synsets that are more general, whereas hyponyms are more specific. For example, fork is a hyponym of cutlery and cutlery is the hypernym of fork.

Then we have hypernym and hypernym, constitutes a broader category of more specific words for example, color is a hypernym of blue. We have the meronym, meronym is a part-of relationship with its holonyms. For example, finger is a meronym of hand and hand is the holonym of finger. So part whole relation. Like beak is meronym of bird since beak is part of birds anatomy. Likewise, bird is the holonym of beak. So Wordnet identifies three types of relations, like components, leg and table constituents, oxygen and water, and members like parent and family. Then we have antonym or antonymy.

Lexical opposites, such as large small, a word opposite in meaning to another, for example, antonym of short, is low. So these are the elements of the WordNet.

AI/ML

Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot

%d bloggers like this: