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EMNLP
2006
13 years 9 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
COLING
2010
13 years 2 months ago
Chinese Frame Identification using T-CRF Model
As one of the important tasks of SemEval Evaluation, Frame Semantic Structure Extraction based on the FrameNet has received much more attention in NLP field. This task is often di...
Ru Li, Haijing Liu, Shuanghong Li
SIGIR
2006
ACM
14 years 1 months ago
Mining dependency relations for query expansion in passage retrieval
Classical query expansion techniques such as the local context analysis (LCA) make use of term co-occurrence statistics to incorporate additional contextual terms for enhancing pa...
Renxu Sun, Chai-Huat Ong, Tat-Seng Chua
FLAIRS
2008
13 years 10 months ago
Learning to Assess Low-Level Conceptual Understanding
This paper analyzes the impact of several lexical and grammatical features in automated assessment of students' finegrained understanding of tutored concepts. Truly effective...
Rodney D. Nielsen, Wayne Ward, James H. Martin
MICCAI
2008
Springer
14 years 8 months ago
Markov Dependence Tree-Based Segmentation of Deep Brain Structures
We propose a new framework for multi-object segmentation of deep brain structures, which have significant shape variations and relatively small sizes in medical brain images. In th...
Jue Wu, Albert C. S. Chung