Guia docente 2023_24
Escola Superior de Enxeñaría Informática
Máster universitario en Inteligencia artificial
 Subjects
  Natural language understanding
   Expected results from this subject
Expected results from this subject Training and Learning Results
To know, understand and analyze the formal representation of diverse lexical, syntactic and semantic phenomena of natural language. A1
A5
B1
B3
B4
C1
D2
D8
To know, understand and know how to use the technologies, frameworks and libraries for the construction of natural language processing systems. A1
A2
A5
B3
B4
C1
C2
D2
D3
D7
To design, implement and know how to use algorithms and data structures to treat and support the various phenomena characteristic of natural language. A1
A2
A5
B1
B3
B4
C1
C2
C3
D2
D3
D7
D8
To know, understand and analyze natural language processing techniques for processing and disambiguation at the lexical, syntactic and semantic levels. A1
A2
A5
B1
B3
B4
C1
C2
C3
D2
D3
D7
D8
To know and understand the problems posed by ambiguity and imprecision in natural language data sources and techniques to solve them. A1
A2
A5
B1
B3
B4
C1
C3
D2
D3
D7
D8
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