semantic role labeler for swedish
Tài liệu Báo cáo khoa học: "A FrameNet-based Semantic Role Labeler for Swedish" pdf
Ngày tải lên :
20/02/2014, 12:20
... se-
mantic role labeler for Swedish text. Since there
was no existing training corpus available — no
FrameNet-annotated Swedish corpus of substan-
tial size exists — we used an English -Swedish
parallel ... Sweden
{richard, pierre}@cs.lth.se
Abstract
We present a FrameNet-based semantic
role labeling system for Swedish text. As
training data for the system, we used an
annotated corpus that we produced by
transferring ... and 0.47 for the
complete task.
1 Introduction
Semantic role labeling (SRL), the process of auto-
matically identifying arguments of a predicate in
a sentence and assigning them semantic roles,...
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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 Ponzetto ... 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 paper ... performance. Table 6 shows the per-
formance variations obtained by leaving out each
feature in turn. Again, it can be seen that remov-
ing both I and J
SEMROLE induces a relatively
high performance...
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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 ... can be unaligned only if they
are inside the semantic role constituent.
Utilizing these rules, we can perform the sentence
generation process. For each semantic structure of
each sentence,
2
we ... sentence generated, we al-
low for application of only one substitution.
Although the idea is straightforward, we face two
problems in practice. First, for frequent semantic
frames, the number of...
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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
... Association for Computational Linguistics
A Hybrid Convolution Tree Kernel for Semantic Role Labeling
Wanxiang Che
Harbin Inst. of Tech.
Harbin, China, 150001
car@ir.hit.edu.cn
Min Zhang
Inst. for Infocomm ... particular, for each
target verb (predicate) all 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 ... Argument Feature space
necessity of syntactic parsing for semantic role la-
beling. However, the standard flat features cannot
model the syntactic information well. A predicate-
argument pair has two...
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Báo cáo khoa học: "Edit Tree Distance alignments for Semantic Role Labelling" ppt
Ngày tải lên :
07/03/2014, 22:20
... one predicate.
The possible semantic roles are pre-defined for
each predicate. The set of roles depends on the
corpora.
SRL is becoming an important tool for infor-
mation extraction, text ... each predicate.
It is difficult to define universal semantic roles
for all predicates. That is why PropBank defines
a set of semantic roles for each possible sense of
each predicate (frame) ...
hand-annotated corpus. It transforms sentences
into propositions. It adds a semantic layer to the
Penn TreeBank (Marcus et al, 1994) and defines
a set of semantic roles for each predicate.
It is...
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Báo cáo khoa học: "Adapting Self-training for Semantic Role Labeling" pdf
Ngày tải lên :
07/03/2014, 22:20
... Jurafsky, D. 2002. Automatic labeling
of semantic roles. CL, 28(3):245-288.
He, S. and Gildea, H. 2006. Self-training and Co-
training for Semantic Role Labeling: Primary Re-
port. TR 891, University ... of semantic roles
in training data. We also used a pool and ex-
amined two preselection methods for loading
unlabeled data into it.
These methods showed improvement in both
classifier performance ... application of self-training
in learning semantic role labeling with the use of
unlabeled data. We used a balancing method for
selecting newly labeled examples for augmenting
the training set in...
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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
... intervals
bounded by core roles provide good context infor-
mation for classification of other roles.
4 Conclusions
We propose a unified generative model for unsu-
pervised semantic role induction that ... 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 ... probabilistic 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...
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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
... argument recog-
nized in the former stage with a specific semantic
role label. In both AI and SRC, the main job is to
select strong syntactic features.
1
See (Sun et al., 2008) for detailed definition.
3 ... Roukos, editors, HLT-
NAACL 2004: Main Proceedings.
Weiwei Sun. 2010. Semantics-driven shallow
parsing for Chinese semantic role labeling. In
Proceedings of the ACL 2010.
Weiwei Sun and Zhifang ... on Chinese Semantic Role La-
beling (SRL) mainly focused on how to imple-
ment SRL methods which are successful on En-
glish. Similar to English, parsing is a standard
pre-processing for Chinese...
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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
... data of 88% 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 ... FrameNet-based
semantic role labeler for Swedish. In Proceedings of
the annual Meeting of the Association for Computa-
tional Linguistics (ACL).
P. Koehn. 2003. Europarl: A multilingual corpus for
evaluation ... Projection
Models for Role -Semantic Information. Ph.D. thesis,
Saarland University.
M. Palmer, D. Gildea, and P. Kingsbury. 2005. The
Proposition Bank: An annotated corpus of semantic
roles. Computational...
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Tài liệu Báo cáo khoa học: "Abstraction and Generalisation in Semantic Role Labels: PropBank, VerbNet or both?" doc
Ngày tải lên :
20/02/2014, 07:20
... of semantic roles for
which both a PropBank and a VerbNet label is
available in the data (roughly 45% of the Prop-
Bank semantic roles have a VerbNet semantic
role) .
2
Furthermore, we perform ... distribution of a complete annotation.
ical information is known.
4 Equivalence Classes of Semantic Roles
An observation that holds for all semantic role la-
belling schemes is that certain labels ... him) and the unambiguously
inanimate pronoun it, for each semantic role label,
in PropBank and VerbNet. We find occurrences
for three semantic role labels in PropBank and six
in VerbNet. We reduce...
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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
... and Word-
Net for robust semantic parsing. In Proceedings of
Cicling 2005, Mexico.
Cynthia A. Thompson, Roger Levy, and Christopher
Manning. 2003. A generative model for semantic
role labeling. ... information provided
by the ILC classifiers (trained on FN or PB) per-
forms almost as good as the gold ILC.
5.4 Annotating PB with FN semantic roles
To show that our approach can be suitable for
semantic ... reported are only for role classification.
935
chines (Vapnik, 1995) with (a) polynomial ker-
nels to learn the semantic role classification and
(b) Tree Kernels (Moschitti, 2004) for learning
both...
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Báo cáo khoa học: "Semantic Role Labeling Using Different Syntactic Views∗" pdf
Ngày tải lên :
08/03/2014, 04:22
... Linguistics,
Stanford University,
Stanford, CA 94305
jurafsky@stanford.edu
Abstract
Semantic role labeling is the process of
annotating the predicate-argument struc-
ture in text with semantic labels. ... predicate-argument structures for information extraction. In Proceedings
of ACL, Sapporo, Japan.
Nianwen Xue and Martha Palmer. 2004. Calibrating features for semantic role
labeling. In Proceedings ... example ex-
tracted from PropBank. We use Sections 02-21 for
training, Section 00 for development and Section 23
for testing.
We formulate the semantic labeling problem as
a multi-class classification...
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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
... Improves Semantic Role Labeling
Kristina Toutanova
Dept of Computer Science
Stanford University
Stanford, CA, 94305
kristina@cs.stanford.edu
Aria Haghighi
Dept of Computer Science
Stanford University
Stanford, ... such information extracts, for each ar-
gument node, its phrase type and label in the con-
text of the phrase types for all other arguments. For
example, the instantiation of such a template for ... Science
Stanford University
Stanford, CA, 94305
aria42@stanford.edu
Christopher D. Manning
Dept of Computer Science
Stanford University
Stanford, CA, 94305
manning@cs.stanford.edu
Abstract
Despite...
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