named entities in text
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 ... pronoun in the text, noun phrases
that are in the previous context of the pronoun are
sorted in order of likelihood of being the antecedent.
The sorting algorithm has two steps. First, from the
beginning ... asu
Figure 2: Centering Structure
ing referred to in the context with the following NE
“amerika
32
”. Whether or not the antecedent NE is
referred to in the context with the following NE is
used as...
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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
... clin-
ical named entities in 11 entity types. This
paper reports on the challenges involved in
creating the annotation schema, and recog-
nising and annotating clinical named enti-
ties. The information ... 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 ... bio-textmining. Journal of Bioinformatics,
19(1),180–182.
J. Lafferty et al. 2001. Conditional Random Fields:
Probabilistic Models for Segmenting and Label-
ing Sequence Data Machine learning-international
workshop...
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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 ... transcripts. In EMNLP,
pages 320–327.
Jing Jiang and ChengXiang Zhai. 2007. Instance weight-
ing for domain adaptation in nlp. In ACL, pages 264–
271.
Dan Klein and Christopher D. Manning. 2003....
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Hiệu quả với quảng cáo trực tuyến in-text
Ngày tải lên :
16/01/2013, 14:11
... qua một quảng cáo in- text. Còn khách hàng quảng cáo thì chỉ trả
cho Vibrant dựa trên số lần mà người đọc thực sự click chuột vào quảng cáo đó.
Thống kê cho thấy, quảng cáo in- text thu hút lượng ... cáo. Tuy nhiên, danh
sách những từ ngữ này cũng thay đổi liên tục.
Tờ Indianapolis Star đã bắt đầu áp dụng quảng cáo in- text từ tháng 8 vừa qua.
Partricia Miller, Giám đốc phụ trách quảng cáo ... khi tỷ lệ độc giả trỏ chuột và nhấp
vào các quảng cáo in- text là từ 3% đến 10%, tùy vào loại sản phẩm quảng cáo.
(Theo Vneconomy/BusinessWeek)
...
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Tài liệu New product development in textiles potx
Ngày tải lên :
21/02/2014, 18:20
... Woodhead Publishing Limited, 2012
The Textile Institute and Woodhead Publishing
The Textile Institute is a unique organisation in textiles, clothing and footwear.
Incorporated in England by ...
discount merchandising, opening its fi rst Target discount store in 1962. In 1966 it
branched out into discount book selling. Through growing expertise in sourcing
and buying in bulk, strong fi ... example, IBM (International Business Machine), 3M (Minnesota and
Mining) or even retailers such as the Dayton-Hudson Corporation, now operating
as Target.
The International Business Machine Company...
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Tài liệu Báo cáo khoa học: "DISCOURSE ENTITIES IN JANUS" pot
Ngày tải lên :
21/02/2014, 20:20
... Webber's rules to detect modal
and other index-binding contexts. In representing
DEs for indefinites
(appearing as
existential formulae
in our meaning representation), we replaced
Webber's ... DEs originating
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. ... 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...
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Báo cáo khoa học: "Probabilistic Document Modeling for Syntax Removal in Text Summarization" ppt
Ngày tải lên :
07/03/2014, 22:20
... B. Tenenbaum. 2005. Integrating topics and
syntax. In In Advances in Neural Information Pro-
cessing Systems 17, pages 537–544. MIT Press.
646
to an approximation. Following Griffiths et al.
(2005), ... Some
future work includes applying this model to areas
such as topic tracking and text segmentation, and
coherently adjusting it to fit an n-gram modeling
approach.
Acknowledgments
William Darling is supported ... statistically significant increases.
5 Conclusions and Future Work
This paper has described using a domain-
independent document modeling approach of
avoiding low-content syntax words in an NLP task
where...
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Báo cáo khoa học: "Using Syntax to Disambiguate Explicit Discourse Connectives in Text" pot
Ngày tải lên :
08/03/2014, 01:20
... improvement over those ob-
tained by Marcu (2000) in his corpus-based ap-
proach which achieves an f-score of 84.9%
3
for
identifying discourse connectives in text. While
bearing in mind that the evaluations ... it appears.
For training and testing, we used explicit dis-
course connectives annotated in the PDTB as pos-
itive examples and occurrences of the same strings
in the PDTB texts that were not ... high baseline, with an f-score of
75.33% and an accuracy of 85.86%. Interest-
ingly, using only the syntactic features, ignoring
the identity of the connective, is even better, re-
sulting in an...
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Báo cáo khoa học: "A Study on Automatically Extracted Keywords in Text Categorization" doc
Ngày tải lên :
08/03/2014, 02:21
... machines in text categorization. In Pro-
ceedings of the 20th International Conference on
Computational Linguistics (COLING 2004), pages
487–493.
Yiming Yang and Xin Liu. 1999. A re-examination
of ... to
the baseline. The best performance was obtained
when using a boolean feature value, and setting the
minimum number of occurrence in training data to
three (giving an F-measure of 56.9%).
In the ... text categorization methods. In Proceedings of
the 22nd Annual International ACM SIGIR Confer-
ence on Research and Development in Information
Retrieval, pages 42–49.
544
uments in the training...
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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: "A multi-staged approach to identifying complex events in textual data" ppt
Ngày tải lên :
08/03/2014, 21:20
... important
contextual information using text classification
methods. We also use text classification methods
to help users to more quickly focus on an area
where interesting transactions exist in an interac-
tive ... Workshop on Information Filtering.
Lodhi, H., Saunders, C., Shawe-Taylor, J., Cristianini,
and N., Watkins, C. 2002. Text classification using
string kernels. Journal of Machine Learning Re-
search, ... 419-444.
Vilain, M. and Day, D. 1996. Finite-state Phrase Pars-
ing by Rule Sequences, Proc. of COLING-96.
Vilain, M. 1999. Inferential information extraction.
In Pazienza, M.T. & Basili, R., Information...
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Báo cáo khoa học: "Finding Contradictions in Text" docx
Ngày tải lên :
17/03/2014, 02:20
... polarity for textual infer-
ence. In Proceedings of ICoS-5.
Olivia Sanchez-Graillet and Massimo Poesio. 2007. Dis-
covering contradiction protein-protein interactions in
text. In Proceedings of BioNLP ... applied
to intelligence reports, demonstrating which infor-
mation may need further verification. In bioinfor-
matics where protein-protein interaction is widely
studied, automatically finding conflicting ... as
shown in the last two lines of table 5.
4
This stands in contrast with the low inter-annotator agree-
ment reported by Sanchez-Graillet and Poesio (2007) for con-
tradictions in protein-protein interactions....
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Báo cáo khoa học: "Using Readers to Identify Lexical Cohesive Structures in Texts" potx
Ngày tải lên :
17/03/2014, 06:20
... Hearst. 1997. Texttiling: Segmenting text into
multi-paragraph subtopic passages. Computational
Linguistics, 23(1):33–64.
Lynette Hirschman, Patricia Robinson, John D. Burger,
and Marc Vilain. 1998. ... annota-
tions. The wordlist contained words from the text,
in their appearance order, excluding verbatim and
in ectional repetitions
3
. People were instructed to
read the text first, and then go through ... one fiction story were taken in
full; others were cut at a meaningful break to stay
within 1000 word limit. The texts were in English -
original language for all but two texts.
Our subjects were...
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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 ... 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 ... 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,...
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