joint learning improves semantic role labeling
Báo cáo khoa học: "Joint Learning Improves Semantic Role Labeling Kristina Toutanova Dept of Computer Science Stanford " pot
Ngày tải lên :
08/03/2014, 04:22
... model is joint, we are
able to use information about other argument nodes
when labeling a node.
Final Pipeline
Here we describe the application in testing of a
joint model for semantic role labeling, ... 589–596,
Ann Arbor, June 2005.
c
2005 Association for Computational Linguistics
Joint Learning Improves Semantic Role Labeling
Kristina Toutanova
Dept of Computer Science
Stanford University
Stanford, ... Support vec-
tor learning for semantic argument classification. Machine
Learning Journal.
Vasin Punyakanok, Dan Roth, Wen tau Yih, Dav Zimak, and
Yuancheng Tu. 2004. Semantic role labeling via generalized
inference...
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Tài liệu Báo cáo khoa học: "Improving Chinese Semantic Role Labeling with Rich Syntactic Features" ppt
Ngày tải lên :
20/02/2014, 04:20
... Proceedings.
Weiwei Sun. 2010. Semantics-driven shallow
parsing for Chinese semantic role labeling. In
Proceedings of the ACL 2010.
Weiwei Sun and Zhifang Sui. 2009. Chinese func-
tion tag labeling. In Proceedings ... se-
mantic role labeling. In Proceedings of the
22nd International Conference on Computa-
tional Linguistics.
Weiwei Sun, Zhifang Sui, Meng Wang, and Xin
Wang. 2009. Chinese semantic role labeling
with ... Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
Improving Chinese Semantic Role Labeling with Rich Syntactic Features
Weiwei Sun
∗
Department of Computational Linguistics,...
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Tài liệu Báo cáo khoa học: "A Hybrid Convolution Tree Kernel for Semantic Role Labeling" pptx
Ngày tải lên :
20/02/2014, 12:20
... shared task: Semantic role
labeling. In Proceedings of CoNLL-2004, pages 89–
97.
Xavier Carreras and Llu
´
ıs M
`
arquez. 2005. Introduc-
tion to the CoNLL-2005 shared task: Semantic role
labeling. ... Support vector learning for semantic
argument classification. Machine Learning Journal.
Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James
Martin, and Daniel Jurafsky. 2005b. Semantic role
labeling using ... the constituents in the
sentence which fill a semantic role (argument) of
the verb have to be recognized.
Figure 1 shows an example of a semantic role
labeling annotation in PropBank (Palmer et...
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Báo cáo khoa học: "Adapting Self-training for Semantic Role Labeling" pdf
Ngày tải lên :
07/03/2014, 22:20
... for Semantic Role Labeling
Rasoul Samad Zadeh Kaljahi
FCSIT, University of Malaya
50406, Kuala Lumpur, Malaysia.
rsk7945@perdana.um.edu.my
Abstract
Supervised semantic role labeling ... direction
can be adapting bootstrapping parameters to fit
the semantic role labeling complexity.
References
Abney, S. 2008. Semisupervised Learning for Compu-
tational Linguistics. Chapman and Hall, ... of the 7th Conference on Natural
Language Learning At HLT-NAACL 2003, pages
49-55.
Gildea, D. and Jurafsky, D. 2002. Automatic labeling
of semantic roles. CL, 28(3):245-288.
He, S. and Gildea,...
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Báo cáo khoa học: "Semantic Role Labeling via FrameNet, VerbNet and PropBank" potx
Ngày tải lên :
08/03/2014, 02:21
... Automatic semantic role labeling on
FrameNet
In the experiments involving semantic role label-
ing, we used SVMs with polynomial kernels. We
adopted the standard features developed for se-
mantic role ... Annotating PB with FN semantic roles
To show that our approach can be suitable for
semantic role free-text annotation, we have au-
tomatically classified PB sentences
3
with the FN
semantic- role classifiers. ... Christopher
Manning. 2003. A generative model for semantic
role labeling. In 14th European Conference on Ma-
chine Learning.
V. Vapnik. 1995. The Nature of Statistical Learning
Theory. Springer.
Nianwen Xue...
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Báo cáo khoa học: "Semantic Role Labeling Using Different Syntactic Views∗" pdf
Ngày tải lên :
08/03/2014, 04:22
... Juraf-
sky. 2004. Semantic role labeling by tagging syntactic chunks. In Proceed-
ings of CoNLL-2004, Shared Task – Semantic Role Labeling.
Kadri Hacioglu. 2004a. A lightweight semantic chunking ... 94305
jurafsky@stanford.edu
Abstract
Semantic role labeling is the process of
annotating the predicate-argument struc-
ture in text with semantic labels. In this
paper we present a state-of-the-art base-
line semantic role labeling ... Identifying semantic roles using com-
binatory categorial grammar. In Proceedings of the EMNLP, Sapporo, Japan.
Daniel Gildea and Daniel Jurafsky. 2000. Automatic labeling of semantic roles.
In...
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Báo cáo khoa học: "Semantic Role Labeling for Coreference Resolution" pot
Ngày tải lên :
08/03/2014, 21:20
... pronoun and number. Similarly
to Table 5, the semantic role of the anaphor ranks
higher than the one of the antecedent. This re-
145
Semantic Role Labeling for Coreference Resolution
Simone Paolo ... Germany
http://www.eml-research.de/nlp/
Abstract
Extending a machine learning based coref-
erence resolution system with a feature
capturing automatically generated infor-
mation about semantic roles improves its
performance.
1 Introduction
The ... alia).
Similarly, many researchers have explored tech-
niques for robust, broad coverage semantic pars-
ing in terms of semantic role labeling (Gildea &
Jurafsky, 2002; Carreras & M
`
arquez, 2005, SRL
henceforth).
This...
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Báo cáo khoa học: "Semi-Supervised Semantic Role Labeling" potx
Ngày tải lên :
08/03/2014, 21:20
... sen-
tence we wish to annotate.
Semantic role labeler We evaluated our method
on a semantic role labeling task. Specifically, we
compared the performance of a generic seman-
tic role labeler trained on ... the
development of semantic role labeling methods by
providing high-quality annotations for use in train-
ing. Semantic role labelers are commonly devel-
oped using a supervised learning paradigm
1
where
a ... creat-
ing resources for semantic role labeling
via semi-supervised learning. Our algo-
rithm augments a small number of man-
ually labeled instances with unlabeled ex-
amples whose roles are inferred...
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Báo cáo khoa học: "Unsupervised Argument Identification for Semantic Role Labeling" potx
Ngày tải lên :
17/03/2014, 01:20
... and Martha Palmer, 2004. Calibrating
Features for Semantic Role Labeling. EMNLP ’04.
Nianwen Xue, 2008. Labeling Chinese Predicates
with Semantic Roles. Computational Linguistics,
34(2):225–255.
36
... 2008. Semantic
Role Labeling: An introdution to the Special Issue.
Computational Linguistics, 34(2):145–159
Llu
`
ıs M
`
arquez, Jesus Gim
`
enez Pere Comas and Neus
Catal
`
a, 2005. Semantic Role ... Stevenson, 2004. Unsu-
pervised Semantic Role Labeling. EMNLP ’04.
Robert S. Swier and Suzanne Stevenson, 2005. Ex-
ploiting a Verb Lexicon in Automatic Semantic Role
Labelling. EMNLP ’05.
Erik...
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Tài liệu Báo cáo khoa học: "Unsupervised Semantic Role Induction with Global Role Ordering" doc
Ngày tải lên :
19/02/2014, 19:20
... generative model
for unsupervised semantic role induction,
which integrates local role assignment deci-
sions and a global role ordering decision in a
unified model. The role sequence is divided
into ... Introduction
Unsupervised semantic role induction has gained
significant interest recently (Lang and Lapata,
2011b) due to limited amounts of annotated corpora.
A Semantic Role Labeling (SRL) system ... syntactic and semantic features could provide
clues to the semantic role label of a constituent, non-
local features such as predicate voice could provide
information about the expected semantic role...
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Tài liệu Báo cáo khoa học: "Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules" doc
Ngày tải lên :
20/02/2014, 04:20
... without substitution. In this pa-
per, we call a tuple of semantic frame and semantic
role a semantic signature. Two phrase pairs with the
same semantic signature are considered valid substi-
tutions ... Instead, we resort to Semantic Role Labeling
(Palmer et al., 2005) to provide more lexicalized and
semantic constraints to select the candidates. The
method only requires running SRL labeling on ei-
ther ... annotated corpus of
semantic roles. Computational Linguistics, 31(1):71–
106.
Sameer S. Pradhan, Wayne Ward, Kadri Hacioglu,
James H. Martin, and Daniel Jurafsky. 2004. Shal-
low semantic parsing...
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Tài liệu Báo cáo khoa học: "Scaling up Automatic Cross-Lingual Semantic Role Annotation" docx
Ngày tải lên :
20/02/2014, 04:20
... and
once after joint syntactic -semantic learning. The
comparison of these two steps will tell us whether
the joint syntactic -semantic parser is able to improve
semantic annotations by learning from ... of sufficient quality to train a
syntactic -semantic parser that further improves the
quality of the semantic annotation by joint learning
of syntactic -semantic structures on the target lan-
guage. ... F-measure for in-
dividual semantic roles, and 69% F-measure for
whole scenario-like semantic frames. Recently, Wu
and Fung (2009a; 2009b) also show that semantic
roles help in statistical machine...
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