At the Intersection of Language, Logic, and Information ESSLLI 2018 Student Session, Sofia, Bulgaria, August 6-17, 2018, Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Sikos, Jennifer (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pacuit, Eric (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Theoretical Computer Science and General Issues ; 11667
• Θέματα: Mathematical logic.; Knowledge representation (Information theory) .; Natural language processing (Computer science).; Information storage and retrieval.; Mathematical Logic and Formal Languages.; Knowledge based Systems.; Natural Language Processing (NLP).; Information Storage and Retrieval.

The European Summer School in Logic, Language and Information (ESSLLI) is organized every year by the Association for Logic, Language and Information (FoLLI) in different sites around Europe. The papers cover vastly dierent topics, but each fall in the intersection of the three primary topics of ESS...

Πίνακας περιεχομένων:

• Simulating the No Alternatives Argument in a Social Setting
• Readings of Plurals and Common Ground
• Towards an analysis of the agent-oriented manner verb sorgfältig ('carefully')
• Social Choice and the Problem of Recommending Essential Readings
• Towards a 2-Multiple Context-Free Grammar for the 3-dimensional Dyck Language
• Compositionality in Privative Adjectives: Extending Dual Content Semantics
• Definiteness with Bare Nouns in Shan
• The challenge of metafictional anaphora
• Rule-based reasoners in epistemic logic
• Free Relatives, Feature Recycling, and Reprojection in Minimalist Grammars
• Playing with Information Source
• Disjunction under Deontic Modals: Experimental Data
• "First Things First": an Inquisitive Plausability-Urgency Model
• Interpreting Intensifiers for Relative Adjectives: Comparing Models and Theories. .