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Lessons from Efforts to Automatically Translate English to Knowledge Representation Languages
Chitta Baral
Computer Science and Engineering
Computing and Augmented Intelligence, School of (IAFSE-SCAI)
Research output
:
Chapter in Book/Report/Conference proceeding
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Conference contribution
1
Scopus citations
Overview
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Weight
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Mathematics
Knowledge Representation
100%
Natural Language
80%
Language
53%
Corpus
42%
Text
39%
Learning
38%
Calculus
33%
Command and Control
19%
Robot Control
18%
Question Answering
14%
Answer Set Programming
14%
Ontology
14%
Guess
11%
Subfield
11%
Machine Learning
11%
Grammar
11%
Training
11%
Biology
10%
Query
10%
Computer Science
10%
Meaning
9%
Semantics
9%
Target
8%
Presentation
8%
Path
7%
Standards
5%
Generalise
5%
Term
5%
Engineering & Materials Science
Knowledge representation
80%
Functional programming
19%
Formal languages
18%
Computer science
14%
Ontology
12%
Machine learning
10%
Semantics
10%
Robots
9%