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ACL
2010
13 years 2 months ago
Towards Open-Domain Semantic Role Labeling
Current Semantic Role Labeling technologies are based on inductive algorithms trained over large scale repositories of annotated examples. Frame-based systems currently make use o...
Danilo Croce, Cristina Giannone, Paolo Annesi, Rob...
KCAP
2011
ACM
12 years 7 months ago
An analysis of open information extraction based on semantic role labeling
Open Information Extraction extracts relations from text without requiring a pre-specified domain or vocabulary. While existing techniques have used only shallow syntactic featur...
Janara Christensen, Mausam, Stephen Soderland, Ore...
EMNLP
2009
13 years 2 months ago
Semi-supervised Semantic Role Labeling Using the Latent Words Language Model
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...
Koen Deschacht, Marie-Francine Moens
ACL
2009
13 years 2 months ago
A Comparative Study on Generalization of Semantic Roles in FrameNet
A number of studies have presented machine-learning approaches to semantic role labeling with availability of corpora such as FrameNet and PropBank. These corpora define the seman...
Yuichiro Matsubayashi, Naoaki Okazaki, Jun-ichi Ts...
CIKM
2010
Springer
13 years 2 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...