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Logical Aspects of Computational Linguistics

Overview of attention for book
Cover of 'Logical Aspects of Computational Linguistics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Encoding Phases Using Commutativity and Non-commutativity in a Logical Framework
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    Chapter 2 Using Logic in the Generation of Referring Expressions
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    Chapter 3 Polarized Classical Non-associative Lambek Calculus and Formal Semantics
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    Chapter 4 The Product-Free Lambek-Grishin Calculus Is NP-Complete
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    Chapter 5 Copredication, Quantification and Frames
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    Chapter 6 On Dispersed and Choice Iteration in Incrementally Learnable Dependency Types
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    Chapter 7 Closure Properties of Minimalist Derivation Tree Languages
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    Chapter 8 Well-Nestedness Properly Subsumes Strict Derivational Minimalism
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    Chapter 9 Minimalist Tree Languages Are Closed Under Intersection with Recognizable Tree Languages
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    Chapter 10 Do Dialogues Have Content?
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    Chapter 11 Contextual Analysis of Word Meanings in Type-Theoretical Semantics
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    Chapter 12 Logic Programming of the Displacement Calculus
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    Chapter 13 Conditional Logic C b and Its Tableau System
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    Chapter 14 Are (Linguists’) Propositions (Topos) Propositions?
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    Chapter 15 Event in Compositional Dynamic Semantics
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    Chapter 16 Using Tree Transducers for Grammatical Inference
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    Chapter 17 Distributional Learning of Abstract Categorial Grammars
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    Chapter 18 Some Generalised Comparative Determiners
Attention for Chapter 8: Well-Nestedness Properly Subsumes Strict Derivational Minimalism
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Chapter title
Well-Nestedness Properly Subsumes Strict Derivational Minimalism
Chapter number 8
Book title
Logical Aspects of Computational Linguistics
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-22221-4_8
Book ISBNs
978-3-64-222220-7, 978-3-64-222221-4
Authors

Makoto Kanazawa, Jens Michaelis, Sylvain Salvati, Ryo Yoshinaka

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Agricultural and Biological Sciences 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 August 2012.
All research outputs
#15,248,503
of 22,673,450 outputs
Outputs from Lecture notes in computer science
#4,643
of 8,122 outputs
Outputs of similar age
#140,077
of 180,318 outputs
Outputs of similar age from Lecture notes in computer science
#149
of 318 outputs
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So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.