Categorías: Todo - features - nlp - grammar - semantics

por DAVID ALEXANDER MOSQUERA VALENZUELA hace 12 meses

76

Semantics by Paducheva

Semantics involves the study of meaning in language, focusing on how words and phrases express concepts. Semantic features are critical for understanding and processing natural language, providing a foundation for semantic agreement and explaining unusual readings.

Semantics by Paducheva

Semantics by Paducheva

Semantic Features and Selection Restrictions in Lexicon and Grammar

Semantic features can be interpreted as a label for one or more semantic componets.
Examples of selection restrictions:

Namely motivated by some semantic component of a word.

Semantically motivated.

E.g: To believe

Incompatibility of contraries & Excluded neutrality

Two semantic features

On Semantic Invariant of the Class of Words with Genitive Subject

Verbs that can be used with genitive subject are called: genitive verbs.
They have semantic invariant.
The choice of the case of the subject is determined by a syntactic feature of a verb.
Examples: verb forms (passive forms) or predicatives

Significance of semantic features in NLP resources:

Subtopic
Transfer semantic features
for distinguishing

literal from deviant

or metaphoric interpretations

Use in revealing
anaphoric relations

in the text

Role in analysis
of coordinate

constructions

Combinability of verbs
with adverbials

relying on semantic concord

Disambiguation of lexically
homonymous words
Utilization in revealing predicate-argument
elations in parsing algorithms
Absence in existing dictionaries

Introduction to U. Weinreich's distinction of semantic features:

Semantic Features in Systems of Natural Language Processing (NLP):
Semantic conditions imposed on arguments by transitive features
Division of semantic features into categorial and transitive groups
Weinreich's purposes for semantic features:
basis of semantic agreement,

explanation of deviant readings,

addition of provisional semantic contents

Broader sense usage compared to transformational grammar (TG)
Paradigmatic vs. transfer features

Lexical Database of the System:

Semantic features include Speech act verb,
Performative verb,

Verb of motion,

Kinship term

Part of the body

Person,

Parameter

LBD structure:
morphology,

syntactic features

prosody, and referential features

semantic features

Components:
Lexical Database (LBD)

Bibliographical Database (BBD)

Researchers involved in the project
Lexicographer as an expert
system for natural

language processing