Enum: NLPComponentType
Components of a natural-language-processing pipeline as enumerated in Clauses 3.6 and 9.2.
URI: iso22989:NLPComponentType
Permissible Values
| Value | Meaning | Description |
|---|---|---|
| tokenisation | None | Segmenting text into tokens such as words or subwords |
| lemmatisation | None | Reducing tokens to their canonical dictionary form |
| part_of_speech_tagging | None | Assigning grammatical category labels to tokens |
| syntactic_parsing | None | Producing syntactic structure for sentences |
| semantic_analysis | None | Deriving meaning representations from text |
| named_entity_recognition | None | Identifying and classifying named entities in text |
| sentiment_analysis | None | Estimating subjective polarity or affect in text |
| machine_translation | None | Automatically translating text between natural languages |
| speech_recognition | None | Converting acoustic speech signals into text |
| speech_synthesis | None | Generating speech audio from text |
| natural_language_understanding | None | Deriving structured meaning, intent or entities from natural-language input (... |
| natural_language_generation | None | Producing natural-language output from structured inputs (Clause 9 |
| automatic_summarization | None | Producing condensed summaries of longer text (Clause 3 |
| dialogue_management | None | Controlling multi-turn conversational interaction (Clause 9 |
| information_retrieval | None | Finding relevant documents or passages in a collection in response to a query |
| question_answering | None | Producing direct answers to natural-language questions |
| relationship_extraction | None | Identifying typed relationships between entities mentioned in text |
| emotion_recognition | None | Detecting affective or emotional state expressed in text or speech |
| optical_character_recognition | None | Converting images of printed or handwritten text into machine-readable text (... |
| coreference_resolution | None | Linking mentions in text that refer to the same entity |
Slots
| Name | Description |
|---|---|
| nlp_component_type | Type of NLP pipeline component (Clause 9 |
In Subsets
Identifier and Mapping Information
Schema Source
- from schema: https://w3id.org/lmodel/iso22989
LinkML Source
name: NLPComponentType
description: Components of a natural-language-processing pipeline as enumerated in
Clauses 3.6 and 9.2.
in_subset:
- terminology
from_schema: https://w3id.org/lmodel/iso22989
rank: 1000
permissible_values:
tokenisation:
text: tokenisation
description: Segmenting text into tokens such as words or subwords.
lemmatisation:
text: lemmatisation
description: Reducing tokens to their canonical dictionary form.
part_of_speech_tagging:
text: part_of_speech_tagging
description: Assigning grammatical category labels to tokens.
syntactic_parsing:
text: syntactic_parsing
description: Producing syntactic structure for sentences.
semantic_analysis:
text: semantic_analysis
description: Deriving meaning representations from text.
named_entity_recognition:
text: named_entity_recognition
description: Identifying and classifying named entities in text.
sentiment_analysis:
text: sentiment_analysis
description: Estimating subjective polarity or affect in text.
machine_translation:
text: machine_translation
description: Automatically translating text between natural languages.
speech_recognition:
text: speech_recognition
description: Converting acoustic speech signals into text.
speech_synthesis:
text: speech_synthesis
description: Generating speech audio from text.
natural_language_understanding:
text: natural_language_understanding
description: Deriving structured meaning, intent or entities from natural-language
input (Clause 9.2).
natural_language_generation:
text: natural_language_generation
description: Producing natural-language output from structured inputs (Clause
9.2).
automatic_summarization:
text: automatic_summarization
description: Producing condensed summaries of longer text (Clause 3.6.1).
dialogue_management:
text: dialogue_management
description: Controlling multi-turn conversational interaction (Clause 9.2.2).
information_retrieval:
text: information_retrieval
description: Finding relevant documents or passages in a collection in response
to a query.
question_answering:
text: question_answering
description: Producing direct answers to natural-language questions.
relationship_extraction:
text: relationship_extraction
description: Identifying typed relationships between entities mentioned in text.
emotion_recognition:
text: emotion_recognition
description: Detecting affective or emotional state expressed in text or speech.
optical_character_recognition:
text: optical_character_recognition
description: Converting images of printed or handwritten text into machine-readable
text (Clause 3.6.12).
coreference_resolution:
text: coreference_resolution
description: Linking mentions in text that refer to the same entity.