da WALTER LEONEL CAMPOVERDE CHAMBA mancano 10 mesi
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WHAT IS DISCOURSE ANALYLISIS
The text discusses the role and evolution of semantic features in natural language processing (NLP) and their relevance compared to syntactic features. Historically, semantic features were crucial in the 1960s but were somewhat sidelined in the 1970s and 1980s.
5. ON SEMANTIC IN-VARIANT OF THE
CLASS OF WORDS WITH GENITIVE
SUBJECT
Cognate Semantics in Genitive Subject Groups
Explains conversational implicatures related to the absence of an object in the field of vision.
Group I and Group II genitive subjects determined by different, yet cognate, semantic components.
Semantic Invariant in Genitive Verbs
Two distinct but related semantic components explain the use of genitive subjects in negative sentences.
Introduces the concept of genitive verbs with a semantic invariant.
Syntactic Feature and Semantic Affinity
Apresjan's list of over two hundred verbs, emphasizing the role of a unique syntactic feature.
Asserts case choice linked to a syntactic feature in verb groups.
Case Choice in Genitive Subject Construction
Notes instances where nominative is also possible, introducing syntactic features of verbs.
Examines case selection in genitive subject construction in Russian.
4. SEMANTIC FEATURES AND
SELECTION RESTRICTIONS IN
LEXICON AND GRAMMAR
Semantic Invariants in Predicate Classes
Semantic component 'X knows' influences the semantic options of certain predicates.
Identifies a semantic invariant in predicates introducing indirect questions.
Semantically Motivated Selection Restrictions
Examples include Neg-Raising predicates and Russian conjunctions following specific semantic components.
Many syntactic restrictions prove to be semantically motivated.
Semantic Features vs. Syntactic Features
Anna Wierzbicka asserts grammar's selection restrictions are motivated by semantic features.
Suggests semantic features, not syntactic ones, regulate selection restrictions.
Semantic Features in NLP
Argues for the significance of semantic features in modern semantics, even in complex contexts.
Semantic features viewed as subsidiary in NLP systems in the past.
Evolution of Semantic Features
By the 70s and 80s, semantic features took a secondary role, but recent trends argue for their importance.
Semantic features were vital in 60s semantic analysis.
CHAMBA
In the DB, for each lexeme or semantic feature all documents containing lexicographically useful
lexicographically useful information about that lexeme or feature.
LBD is a vocabulary presented in a machine-readable machine-readable form and consisting of several domains, as in a usual relational database.
The system consists of two basic components
Bibliographic database (BBD)
Lexical database (LBD)
LEXICOGRAPllER
Is an expert system designed primarily for natural language processing purposes.