The Resource Automatic Syntactic Analysis Based on Selectional Preferences, by Alexander Gelbukh, Hiram Calvo, (electronic resource)

Automatic Syntactic Analysis Based on Selectional Preferences, by Alexander Gelbukh, Hiram Calvo, (electronic resource)

Label
Automatic Syntactic Analysis Based on Selectional Preferences
Title
Automatic Syntactic Analysis Based on Selectional Preferences
Statement of responsibility
by Alexander Gelbukh, Hiram Calvo
Creator
Contributor
Author
Author
Subject
Language
eng
Summary
This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view
Member of
http://library.link/vocab/creatorName
Gelbukh, Alexander
Dewey number
006.3
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • cwkDMKFN0LQ
  • u8mymC4XlxI
Image bit depth
0
LC call number
Q342
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
Calvo, Hiram.
Series statement
Studies in Computational Intelligence,
Series volume
765
http://library.link/vocab/subjectName
  • Engineering
  • Computational linguistics
  • Natural language processing (Computer science)
  • Artificial intelligence
  • Computational Intelligence
  • Computational Linguistics
  • Natural Language Processing (NLP)
  • Artificial Intelligence
Label
Automatic Syntactic Analysis Based on Selectional Preferences, by Alexander Gelbukh, Hiram Calvo, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- First approach: sentence analysis using rewriting rules -- Second approach: constituent grammars -- Third approach: dependency trees -- Evaluation of the dependency parser -- Applications -- Prepositional phrase attachment disambiguation -- The unsupervised approach: grammar induction -- Multiple argument handling -- The need for full co-occurrence
Dimensions
unknown
Edition
1st ed. 2018.
Extent
1 online resource (VIII, 165 p.)
File format
multiple file formats
Form of item
online
Isbn
9783319740546
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-74054-6
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)4100000002485455
  • (DE-He213)978-3-319-74054-6
  • (EXLCZ)994100000002485455
Label
Automatic Syntactic Analysis Based on Selectional Preferences, by Alexander Gelbukh, Hiram Calvo, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- First approach: sentence analysis using rewriting rules -- Second approach: constituent grammars -- Third approach: dependency trees -- Evaluation of the dependency parser -- Applications -- Prepositional phrase attachment disambiguation -- The unsupervised approach: grammar induction -- Multiple argument handling -- The need for full co-occurrence
Dimensions
unknown
Edition
1st ed. 2018.
Extent
1 online resource (VIII, 165 p.)
File format
multiple file formats
Form of item
online
Isbn
9783319740546
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-74054-6
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)4100000002485455
  • (DE-He213)978-3-319-74054-6
  • (EXLCZ)994100000002485455

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