Techniques & Methods
Linguistic Annotation
Linguistic annotation enriches raw text with structured linguistic information, creating labeled corpora used for training and evaluating NLP models. Annotation types include part-of-speech tags, syntactic parse trees, semantic roles, named entities, coreferences, and sentiment labels.
High-quality annotated datasets are a key bottleneck in NLP development. Projects like Penn Treebank, OntoNotes, and CoNLL datasets have become benchmarks that define progress in the field.
Authority Links
Related Terms
Techniques & Methods
Semantic Annotation
Adding semantic metadata to content to improve AI understanding and processing.
Techniques & Methods
Entity Annotation
Labeling text spans with entity type information to create structured training data.
Techniques & Methods
Part-of-Speech Tagging (POS)
Labeling each word in text with its grammatical role such as noun, verb, or adjective.
Techniques & Methods
Dependency Parsing
Analyzing grammatical structure to identify dependency relationships between words in a sentence.