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ACL
2009
13 years 3 months ago
Cross-Domain Dependency Parsing Using a Deep Linguistic Grammar
Pure statistical parsing systems achieves high in-domain accuracy but performs poorly out-domain. In this paper, we propose two different approaches to produce syntactic dependenc...
Yi Zhang, Rui Wang
ACL
2012
11 years 7 months ago
Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
We propose the first joint model for word segmentation, POS tagging, and dependency parsing for Chinese. Based on an extension of the incremental joint model for POS tagging and ...
Jun Hatori, Takuya Matsuzaki, Yusuke Miyao, Jun-ic...
TIFS
2008
102views more  TIFS 2008»
13 years 5 months ago
Use of Identification Trial Statistics for the Combination of Biometric Matchers
Combination functions typically used in biometric identification systems consider as input parameters only those matching scores which are related to a single person in order to de...
Sergey Tulyakov, Venu Govindaraju
ACL
2007
13 years 6 months ago
HPSG Parsing with Shallow Dependency Constraints
We present a novel framework that combines strengths from surface syntactic parsing and deep syntactic parsing to increase deep parsing accuracy, specifically by combining depend...
Kenji Sagae, Yusuke Miyao, Jun-ichi Tsujii
IPPS
2005
IEEE
13 years 11 months ago
A Compiler-Enabled Model- and Measurement-Driven Adaptation Environment for Dependability and Performance
Traditional techniques for building dependable, highperformance distributed systems are too expensive for most non-critical systems, often causing dependability to be sidelined as...
Vikram S. Adve, Adnan Agbaria, Matti A. Hiltunen, ...