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» Forest-Based Semantic Role Labeling
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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
LREC
2008
143views Education» more  LREC 2008»
13 years 9 months ago
Enriching the Venice Italian Treebank with Dependency and Grammatical Relations
In this paper we propose a rule-based approach to extract dependency and grammatical relations from the Venice Italian Treebank (VIT) (Delmonte et al., 2007) with bracketed tree s...
Sara Tonelli, Rodolfo Delmonte, Antonella Bristot
ICML
2008
IEEE
14 years 8 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
COMPSAC
2009
IEEE
14 years 20 days ago
Towards the Operational Semantics of User-Centric Communication Models
Abstract—The pervasiveness of complex communication services and the need for end-users to play a greater role in developing communication services have resulted in the creation ...
Yingbo Wang, Yali Wu, Andrew A. Allen, Barbara Esp...
LREC
2008
142views Education» more  LREC 2008»
13 years 9 months ago
Enriching Frame Semantic Resources with Dependency Graphs
We propose two general and robust methods for enriching resources annotated in the Frame Semantic paradigm with syntactic dependency graphs, which can provide useful additional in...
Hagen Fürstenau