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» Three Generative, Lexicalised Models for Statistical Parsing
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COLING
1996
14 years 11 months ago
Computational Complexity of Probabilistic Disambiguation by means of Tree-Grammars
This paper studies the computational complexity of disambiguation under probabilistic tree-grammars as in (Bod, 1992; Schabes and Waters, 1993). It presents a proof that the follo...
Khalil Sima'an
ACL
2007
14 years 11 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
ICC
2007
IEEE
15 years 3 months ago
A Statistical Bit Error Generator for Emulation of Complex Forward Error Correction Schemes
— Forward Error Correction (FEC) schemes are generally used in wireless communication systems to maintain an acceptable quality of service. Various models have been proposed in l...
Reuben A. Farrugia, Carl James Debono
CVPR
2009
IEEE
15 years 4 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin
ACL
2009
14 years 7 months ago
Application-driven Statistical Paraphrase Generation
Paraphrase generation (PG) is important in plenty of NLP applications. However, the research of PG is far from enough. In this paper, we propose a novel method for statistical par...
Shiqi Zhao, Xiang Lan, Ting Liu, Sheng Li