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From CLEF to TrebleCLEF: the Evolution of the Cross-Language Evaluation Forum
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In: http://www.mt-archive.info/NTCIR-2008-Ferro.pdf (2008)
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CLEF: Ongoing Activities and Plans for the Future
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In: http://www.mt-archive.info/NTCIR-2007-Agosti.pdf (2007)
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Journal of Neuroscience Methods 139 (2004) 111–120 Multivariate tests for the evaluation of high-dimensional EEG data
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In: http://www.univie.ac.at/mcogneu/art/hemmelmann-04.pdf (2004)
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Pragmatics in Human-Computer Conversations
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In: http://crl.ucsd.edu/~saygin/papers/saygin-jop.pdf (2002)
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The NonI Conversation Simulator
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In: http://ciips.ee.uwa.edu.au/~hutch/phd/research9.ps.gz (1998)
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Linguistic Analysis of Websites: A New Method of Analysing Language, the Poor Cousin of Usability
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In: http://www.kid-soft.de/documents/Linguistic_Analysis_eye_square.pdf
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| 7 |
ACES: Aphasia Emulation, Realism, and the Turing Test
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In: http://social.cs.uiuc.edu/papers/pdfs/11-ASSETS-acesTuring.pdf
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| 8 |
Learning American Sign Language (ASL) through a Gesture-Based Computer Game CopyCat: Learning American Sign Language (ASL) through a Gesture-Based Computer Game
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In: http://www.cc.gatech.edu/~vlh/pubs/resna_sdc05.pdf
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| 9 |
and Computer Application
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In: http://www.ijcaonline.org/volume5/number3/pxc3871269.pdf
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| 10 |
Everyone’s a Critic: Memory Models and Uses for an Artificial Turing Judge 1
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In: http://agi-conf.org/2009/papers/paper_19.pdf
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| 11 |
From CLEF to TrebleCLEF: promoting Technology Transfer for Multilingual Information Retrieval
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In: http://dis.shef.ac.uk/mark/publications/my_papers/DELOS_CLEFtoTrebleCLEF_20071116-d.pdf
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| 12 |
CLEF: Ongoing Activities and Plans for the Future
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/85.pdf
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Automatic Summarization based on Field Coherent Passages
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In: http://research.ijcaonline.org/volume79/number9/pxc3891636.pdf
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| 14 |
The Use of Application Domain Knowledge (and Other Techniques) for Facilitating Requirements Capture
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In: http://www.soi.city.ac.uk/homes/till/wp31.ps
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| 15 |
An Elaboration on the Effect of Reading Anxiety on Reading Achievement
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In: http://www.ccsenet.org/journal/index.php/elt/article/download/50571/27176/
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| 16 |
Language Learning Achievement among Tertiary Students
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In: http://www.journals.aiac.org.au/index.php/IJALEL/article/download/1164/1217/
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| 17 |
A “Catchy ” Copy and Concept Evaluation System Using a Natural Language Processing Approach
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In: http://ultimavi.arc.net.my/banana/Workshop/SCI2002/papers/Ikada_Kaneda.pdf
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| 18 |
Diagnostic Language Testing for Taiwanese University Students: The Online English Assessment System (OEAS) Project
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In: http://fllcccu.ccu.edu.tw/conference/2005conference_2/download/C44.pdf
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| 19 |
A Model of Foreign Language Anxiety in the Saudi EFL Context
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In: http://ccsenet.org/journal/index.php/elt/article/download/37818/21138/
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| 20 |
Team Name
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings10/pdf/NTCIR/MedNLP/08-NTCIR10-MEDNLP-KuL.pdf
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Abstract:
In this paper, we describe the Sinica-Yuntech system (TeamID: SinicaNLP) at the NTCIR-10 MedNLP task. Materials of the MedNLP task are in Japanese. However, having only Chinese resources and knowledge, we need to translate these materials into Chinese. Two preprocessing approaches, different in the timing of translation, were taken. One was to translate Japanese sentences in to Chinese ones, and then to perform segmentation and part of speech tagging on these Chinese sentences; the other was to segment and tag parts of speech on Japanese sentences, and then to translate the composite words. After knowing words and their parts of speech, we identified symptoms and diseases by a vocabulary matching approach. The Internet searching results and parts of speech patterns were also utilized to recognize out of vocabulary symptoms. After recognizing the targets in Chinese, a reverse translation was performed in order to label the original Japanese materials. We merged the tags from vocabulary matching, Internet searching and pattern mapping to obtain the performance of our best run: an f-score 53.88 and an accuracy
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Keyword:
disease; Experimentation. Keywords Cross-lingual; medical natural language processing; part of speech pattern; Performance; symptom; Test analysis. General Terms Algorithms
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.648.102
http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings10/pdf/NTCIR/MedNLP/08-NTCIR10-MEDNLP-KuL.pdf
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