Named Entity Recognition

Byte-Pair Encoding

A subword tokenisation algorithm that iteratively merges the most frequent character pairs to build a vocabulary.

Dependency Parsing

The syntactic analysis of a sentence to establish relationships between head words and words that modify them.

Part-of-Speech Tagging

The process of assigning grammatical categories (noun, verb, adjective) to each word in a text.

Coreference Resolution

The task of identifying all expressions in text that refer to the same real-world entity.

Information Extraction

The process of automatically extracting structured information from unstructured or semi-structured text sources.

Relation Extraction

Identifying semantic relationships between entities mentioned in text.

Global Vectors for Word Representation — an unsupervised learning algorithm for obtaining word vector representations from aggregated word co-occurrence statistics.

A software application that simulates human conversation through text or voice interactions using NLP.

The subfield of NLP concerned with producing natural language text from structured data or representations.

An unsupervised technique for discovering abstract topics that occur in a collection of documents.

The computational study of people's opinions, emotions, and attitudes expressed in text.

A generative probabilistic model for discovering topics in a collection of documents.

The method of dividing long documents into smaller segments for embedding and retrieval, balancing context preservation with optimal chunk sizes for vector search accuracy.

A fine-grained sentiment analysis approach that identifies opinions directed at specific aspects or features of an entity, such as a product's price, quality, or design.