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» Using Types to Parse Natural Language
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EACL
2003
ACL Anthology
13 years 8 months ago
Neural Network Probability Estimation for Broad Coverage Parsing
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
James Henderson
FINTAL
2006
13 years 10 months ago
Coordination Structures in a Typed Feature Structure Grammar: Formalization and Implementation
Abstract. Every language employs its own coordination strategies, according to the type of coordinating marking, the pattern of marking, the position of the marker, and the phrase ...
Jong-Bok Kim, Jaehyung Yang
TBILLC
2005
Springer
14 years 5 days ago
Natural Logic for Natural Language
We implement the extension of the logical consequence relation to a partial order ≤ on arbitary types built from e (entities) and t (Booleans) that was given in [1], and the deï...
Jan van Eijck
EMNLP
2011
12 years 6 months ago
Syntax-Based Grammaticality Improvement using CCG and Guided Search
Machine-produced text often lacks grammaticality and fluency. This paper studies grammaticality improvement using a syntax-based algorithm based on CCG. The goal of the search pr...
Yue Zhang 0004, Stephen Clark
EMNLP
2009
13 years 4 months ago
Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependen...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...