recognizing named entities in tweets
Báo cáo khoa học: "Recognizing Named Entities in Tweets" docx
Ngày tải lên :
17/03/2014, 00:20
... 2010.
Annotating named entities in twitter data with crowd-
sourcing. In CSLDAMT, pages 80–88.
Jenny Rose Finkel and Christopher D. Manning. 2009.
Nested named entity recognition. In EMNLP, pages
141–150.
Jenny ... 2009. Annotating and recognising named
entities in clinical notes. In ACL-IJCNLP, pages 18–
26.
Dan Wu, Wee Sun Lee, Nan Ye, and Hai Leong Chieu.
2009. Domain adaptive bootstrapping for named en-
tity ... Linguistics
Recognizing Named Entities in Tweets
Xiaohua Liu
‡ †
, Shaodian Zhang
∗ §
, Furu Wei
†
, Ming Zhou
†
‡
School of Computer Science and Technology
Harbin Institute of Technology, Harbin, 150001, China
§
Department...
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Báo cáo khoa học: "Annotating and Recognising Named Entities in Clinical Notes" pot
Ngày tải lên :
08/03/2014, 01:20
... substances
and findings have special affixes, which are very
distinguishable from ordinary words.
Lexical Features: Every token in the training
data was used as a feature. Alphabetic words
in the training data ... are only used
once.
The clinical information extraction problem is
addressed in this work by applying machine learn-
ing methods to a corpus annotated for clinical
named entities. The data selection ... reports on the challenges involved in
creating the annotation schema, and recog-
nising and annotating clinical named enti-
ties. The information extraction task has
initially used two approaches:...
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Báo cáo khoa học: "Detecting Semantic Relations between Named Entities in Text Using Contextual Features" pdf
Ngày tải lên :
17/03/2014, 04:20
... use cen-
tering theory (Kameyama, 1986) to determine how
easily a noun phrase can be referred to in the follow-
ing context.
2.2 Centering Theory
Centering theory is an empirical sorting rule used ... Association of Com-
putational Linguistics, pages 178–181.
M. Kameyama. 1986. A property-sharing constraint in center-
ing. Annual Meeting of Association of Computational Lin-
guistics, pages 200–206.
T. ... 2004)
3. STR-CT : STR with the centering top feature
explained in Section 2.3.
4. STR-CS : STR with the centering structure fea-
ture explained in Section 2.4.
3.1 Setting
We used 1451 texts from Japanese...
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Báo cáo khoa học: "On Jointly Recognizing and Aligning Bilingual Named Entities" doc
Ngày tải lên :
23/03/2014, 16:20
... its inputs (including internal
component mapping, initial and final NE type,
NE bigram-based string, and left/right distance),
without involving any related probability factors
derived within ... Program) of China under Grant
No. 2006AA010108-4.
References
Al-Onaizan, Yaser, and Kevin Knight. 2002. Translat-
ing Named Entities Using Monolingual and Bilin-
gual resources. In
Proceedings of ... Processing.
Com-
putational Linguistics
, 22(1):39-72, March.
Chen, Hsin-His, Changhua Yang and Ying Lin. 2003.
Learning Formulation and Transformation Rules
for Multilingual Named Entities. In...
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Tài liệu Báo cáo khoa học: "DISCOURSE ENTITIES IN JANUS" pot
Ngày tải lên :
21/02/2014, 20:20
...
from non-linguistic sources, such as pointing actions,
were taken into account. The discourse entities are
used in intra- and extra-sentential pronoun resolution
in BBN Janus.
1 Introduction ... for generating DEs for dependent quantifiers
stemming from indefinite and definite NPs which
over-
comes some difficulties in capturing dependencies be-
tween discourse entities.
In our multi-modal ... Joshi, Aravind K., Weinstein, Scott.
(1983). Providing a Unified Account of Definite
Noun Phrases in Discourse, Proceedings of
the 21st Annual Meeting of the ACL.
Cambridge, MA: ACL.
Hinrichs,...
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Báo cáo khoa học: " Translating Named Entities Using Monolingual and Bilingual Resources" ppt
Ngày tải lên :
08/03/2014, 07:20
... part of the FBIS 2001 Multilingual corpus.
Translating Named Entities Using Monolingual and Bilingual Resources
Yaser Al-Onaizan and Kevin Knight
Information Sciences Institute
University of Southern ... becausemany are domain specific, not
to be found in bilingual dictionaries. We
present a novel algorithm for translating
named entity phrases using easily obtain-
able monolingual and bilingual resources.
We ... to iden-
tify all named entities in the top
retrieved docu-
ments for each sub-phrase. All named entities of
the type of the named entity in question (e.g., PER-
SON) foundin the retrieved documents...
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Báo cáo khoa học: "Discovering Relations among Named Entities from Large Corpora" pot
Ngày tải lên :
17/03/2014, 06:20
... of named entities
and their context
3. measuring context similarities among pairs of
named entities
4. making clusters of pairs of named entities
5. labeling each cluster of pairs of named entities
We ... little higher in
the PER-GPE domain than in the COM-COM do-
main, perhaps because there were more NE pairs
with high cosine similarity in the PER-GPE do-
main than in the COM-COM domain. However, ... corpora. The key idea is clustering pairs of
named entities according to the similarity of con-
text words intervening between the named entities.
Our experiments using one year of newspapers re-
veals...
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Báo cáo khoa học: "Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue" pot
Ngày tải lên :
17/03/2014, 07:20
... Although changes in pitch maxima and
minima were not significant in themselves, the
increases in rise slopes for CME's in contrast to
flattening of rise slopes in CRE's combined to
form ...
J.R. Quinlan. 1992.
C4.5: Programs for Ma-
chine Learning.
Morgan Kaufmann.
B. G. Secrest and G. R. Doddington. 1993. An
integrated pitch tracking algorithm for speech
systems. In
ICASSP ...
greater. This increase in error likelihood sug-
gests a change in speaking style which diverges
from the recognizer's model. The remainder
The field trial involved a group of nineteen
subjects....
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Tài liệu Báo cáo khoa học: "Portable Translator Capable of Recognizing Characters on Signboard and Menu Captured by Built-in Camera" docx
Ngày tải lên :
20/02/2014, 15:20
... user specifies the beginning and
ending of the character string to be recognized and
translated. In Figure 3, circles on both ends of the
string denote the user specified points. All the lo-
cations ... translation.
1 Introduction
Our world contains many signboards whose phrases
provide useful information. These include destina-
tions and notices in transportation facilities, names
of buildings and ... user has input the end points, assumed
to lie close to the centers of the end characters, the
automatic location module determines the size and
position of the characters in the string. Since the
characters...
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Báo cáo khoa học: "Joint Inference of Named Entity Recognition and Normalization for Tweets" doc
Ngày tải lên :
07/03/2014, 18:20
... annotate
named entities in tweets and train a CRF model to
evaluate the effectiveness of human labeling. Rit-
ter et al. (2011) re-build the NLP pipeline for
tweets beginning with POS tagging, through ... process
of building, understanding, and customizing com-
plex rule-based named- entity annotators for differ-
ent domains.
Recently, NER for Tweets attracts growing inter-
est. Finin et al. (2010) ... 2010.
Annotating named entities in twitter data with crowd-
sourcing. In CSLDAMT, pages 80–88.
Jenny Rose Finkel and Christopher D. Manning. 2009.
Nested named entity recognition. In EMNLP, pages
141–150.
Michel...
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Báo cáo khoa học: "Exploring and Exploiting the Limited Utility of Captions in Recognizing Intention in Information Graphics∗" pdf
Ngày tải lên :
08/03/2014, 04:22
... the
kinds of information in captions so that their find-
ings could be used in forming rules for generating
graphics with captions.
Our project is instead concerned with recogniz-
ing the intended ... to
information graphics for individuals with sight im-
pairments, by inferring the intended message under-
lying the graphic, providing an initial summary of
the graphic that includes the intended ... recog-
nizing intention in information graphics. To appear in
Proceedings of the Int’l Joint Conf. on AI (IJCAI).
R. Futrelle and N. Nikolakis. 1995. Efficient analysis of
complex diagrams using constraint-based...
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