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Parsing with Assertion Sets and Information Monotonicity

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Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Natural Language. Pages 769-770.

Abstract

We propo se a new app roac h t o par sing ambiguity in whi ch a parser always m ov Ps forw a rd with th e common elemen ts of competing synta cti c analyses. Th e approach involves assertio n sets cons train ed so t hat information is monotonically pre serv ed t hr ough o ut a parse . Asser1ion sets hav e several advan t ages over t rees as a parsin g re pr esen tati on. Th ey may also Iead to better computational und er sta nding of th e attention-shifting m ec hamsm.

G. Edward Barton Jr., and Robert C. Berwick. 1985. Parsing with Assertion Sets and Information Monotonicity. In Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85. IJCAI, 769–770. https://ijcai.org/proceedings/1985/151
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