Phrases and Entities

Abbreviations are an efficient way of writing, but it lowers text comprehension. To solve this, identify the long-form to enrich the short-form.

Identifying named entities is the task of assigning a NER category, like Persons, Locations or Organizations, to words in a sentence.

Breaking text into verb- or noun-phrases result into semantically correct subphrases of a sentence that are deducted from the dependency structure.

Finite size lookup tables might inspire your to build rulebased searches, especially when semantic info like lemma’s and POS- and Dependency tags can be used in the search pattern.

Detecting N-grams results in common multi-word expression with a high probability of occurrence, like the Bi-gram ‘red wine’.