Monotonicity in Logic and Language Second Tsinghua Interdisciplinary Workshop on Logic, Language and Meaning, TLLM 2020, Beijing, China, December 17-20, 2020, Proceedings

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Título:

Monotonicity in Logic and Language Second Tsinghua Interdisciplinary Workshop on Logic, Language and Meaning, TLLM 2020, Beijing, China, December 17-20, 2020, Proceedings

ISBN:

9783662628430

Edição:

1st ed. 2020.

PRODUCTION_INFO:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020.

Descrição Física:

IX, 239 p. 123 illus., 17 illus. in color. online resource.

Série:

Theoretical Computer Science and General Issues, 12564

Conteúdo:

New logical perspectives on monotonicity -- Universal free choice from concessive conditions in Tibetan -- Monotonicity in syntax -- Attributive measure phrases in Mandarin: monotonicity and distributivity -- Universal quanti cation in Mandarin -- Monotonicity in minimal change semantics, given Gärdenfors' triviality result -- Are causes ever too strong? Downward monotonicity causal domain -- Morphosyntactic patterns follow monotonic mappings -- Negative polarity additive particles -- A causal analysis of modal syllogisms -- Bipartite exhaustification: evidence from Vietnamese -- Comparatives bring a degree-based NPI licenser.

Resumo:

Edited in collaboration with FoLLI, the Association of Logic, Language and Information this book constitutes the refereed proceedings of the Second Interdisciplinary Workshop on Logic, Language, and Meaning, TLLM 2020, held in Tsinghua, China, in December 2020. The 12 full papers together presented were fully reviewed and selected from 40 submissions. Due to COVID-19 the workshop will be held online. The workshop covers a wide range of topics where monotonicity is discussed in the context of logic, causality, belief revision, quantification, polarity, syntax, comparatives, and various semantic phenomena in particular languages.

Termo do Assunto:

Natural language processing (Computer science).

Software engineering.

Compilers (Computer programs).

Logic programming.

Computer science.

Machine theory.

Natural Language Processing (NLP).

Compilers and Interpreters.

Logic in AI.

Computer Science Logic and Foundations of Programming.

Formal Languages and Automata Theory.