TY - GEN
T1 - A presuppositional analysis of definite descriptions in proof theory
AU - Mineshima, Koji
PY - 2008/8/27
Y1 - 2008/8/27
N2 - In this paper we propose a proof-theoretic analysis of presuppositions in natural language, focusing on the interpretation of definite descriptions. Our proposal is based on the natural deduction system of ε-calculus introduced in Carlström [2] and on constructive type theory [11,12]. Based on the idea in [2], we use the ε-calculus as an intermediate language in the translation process from natural language into constructive type theory. Using this framework, we formulate the process of presupposition resolution as the process of searching for a derivation in a natural deduction system. In particular, we show how to treat presupposition projection and accommodation within our proof-theoretic framework.
AB - In this paper we propose a proof-theoretic analysis of presuppositions in natural language, focusing on the interpretation of definite descriptions. Our proposal is based on the natural deduction system of ε-calculus introduced in Carlström [2] and on constructive type theory [11,12]. Based on the idea in [2], we use the ε-calculus as an intermediate language in the translation process from natural language into constructive type theory. Using this framework, we formulate the process of presupposition resolution as the process of searching for a derivation in a natural deduction system. In particular, we show how to treat presupposition projection and accommodation within our proof-theoretic framework.
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U2 - 10.1007/978-3-540-78197-4_20
DO - 10.1007/978-3-540-78197-4_20
M3 - Conference contribution
AN - SCOPUS:49949119919
SN - 354078196X
SN - 9783540781967
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 214
EP - 227
BT - New Frontiers in Artificial Intelligence - JSAI 2007 Conference and Workshops, Revised Selected Papers
T2 - 21st Annual Conference of The Japanese Society for Artificial Intelligence, JSAI 2007
Y2 - 18 June 2007 through 22 June 2007
ER -