Automatic Syntactic Analysis Based on Selectional Preferences
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 sentenc...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing,
2018.
|
| Vydání: | 1st ed. 2018. |
| Edice: | Studies in Computational Intelligence,
765 |
| Témata: | |
| ISBN: | 9783319740546 |
| ISSN: | 1860-949X ; |
| On-line přístup: |
|
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 003 | SK-BrCVT | ||
| 005 | 20220618115331.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180228s2018 gw | s |||| 0|eng d | ||
| 020 | |a 9783319740546 | ||
| 024 | 7 | |a 10.1007/978-3-319-74054-6 |2 doi | |
| 035 | |a CVTIDW07078 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Gelbukh, Alexander. |4 aut | |
| 245 | 1 | 0 | |a Automatic Syntactic Analysis Based on Selectional Preferences |h [electronic resource] / |c by Alexander Gelbukh, Hiram Calvo. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Cham : |b Springer International Publishing, |c 2018. | |
| 300 | |a VIII, 165 p. |b online resource. | ||
| 490 | 1 | |a Studies in Computational Intelligence, |x 1860-949X ; |v 765 | |
| 500 | |a Engineering | ||
| 505 | 0 | |a 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. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Computational linguistics. | |
| 650 | 0 | |a Natural language processing (Computer science). | |
| 650 | 0 | |a Artificial intelligence. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-3-319-74054-6 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE04358 | ||
| 919 | |a 978-3-319-74054-6 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 273040 |d 273040 | ||