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1
Diversifiable bootstrapping for acquiring high-coverage paraphrase resource
In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/934_Paper.pdf (2012)
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2
Committed belief annotation and tagging
In: http://nlp.csie.ncnu.edu.tw/~shin/acl-ijcnlp2009/proceedings/CDROM/LAW-III/pdf/LAW-III12.pdf (2009)
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3
Is self-explanation always better? The effects of adding self-explanation prompts to an English grammar tutor
In: http://pact.cs.cmu.edu/koedinger/pubs/Wylie, Koedinger Mitamura_09.pdf (2009)
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4
Query Expansion and Machine Translation for Robust Cross-Lingual Information Retrieval
In: http://www.mt-archive.info/NTCIR-2008-Lao.pdf (2008)
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5
Interlingual Annotation of Parallel Text Corpora: A New Framework for Annotation and Evaluation
In: http://hltcoe.files.wordpress.com/2011/09/nle2008oct.pdf (2008)
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6
JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/51.pdf (2007)
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7
JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
In: http://cs.stanford.edu/people/mengqiu/publication/ntcir06.pdf (2007)
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8
JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
In: http://www.mt-archive.info/NTCIR-2007-Mitamura.pdf (2007)
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9
Probabilistic Approaches for Answer Selection in Multilingual Question Answering
In: http://www.lti.cs.cmu.edu/Research/Thesis/JeongWooKo07.pdf (2007)
Abstract: question answering To my family for love and support. iv Question answering (QA) aims at finding exact answers to a user’s natural language question from a large collection of documents. Most QA systems combine information retrieval with extraction techniques to identify a set of likely candidates and then utilize some selection strategy to generate the final answers. This selection process can be very challenging, as it often entails ranking the relevant answers to the top positions. To address this challenge, many QA systems have incorporated semantic resources for answer ranking in a single language. However, there has been little research on a generalized probabilistic framework that models the correctness and correlation of answer candidates for multiple languages. In this thesis, we propose two probabilistic models for answer ranking:
Keyword: Answer ranking; answer selection; graphical model; multilingual; probabilistic framework
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.9445
http://www.lti.cs.cmu.edu/Research/Thesis/JeongWooKo07.pdf
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10
JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
In: http://www.cs.cmu.edu/~jko/paper/NTCIR6-CLQA_3-11-07_submitted.pdf (2007)
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11
Parallel syntactic annotation of multiple languages
In: http://homepages.abdn.ac.uk/advaith/pages/syntaxlrec.pdf (2006)
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12
Modular Approach to Error Analysis and Evaluation for Multilingual Question Answering
In: http://www.cs.stanford.edu/people/mengqiu/publication/lrec06.pdf (2006)
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13
Modular Approach to Error Analysis and Evaluation for Multilingual Question Answering
In: http://www.cs.cmu.edu/~hideki/papers/lrec2006.pdf (2006)
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14
Parallel syntactic annotation of multiple languages
In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/645_pdf.pdf (2006)
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15
Robust Speech Dialog Interface for Car Telematics Service
In: http://www.lti.cs.cmu.edu/Research/CAMMIA/ccnc04.pdf (2004)
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16
Interlingua Development and Testing through Semantic Annotation of Multilingual Text Corpora
In: ftp://ftp.umiacs.umd.edu/pub/bonnie/04coling-ILannot4.pdf (2004)
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17
Interlingual annotation of multilingual text corpora
In: http://www.umiacs.umd.edu/users/bonnie/Publications/Attic/IAMTC-FrameNet.pdf (2004)
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18
Interlingual annotation of multilingual text corpora
In: http://www.aclweb.org/anthology-new/W/W04/W04-2709.pdf (2004)
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19
A Spoken Dialog Corpus for Car Telematics Services
In: http://www.lti.cs.cmu.edu/Research/CAMMIA/FullXPaper_214.pdf (2003)
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20
Knowledge-Based Extraction of Named Entities
In: http://www-2.cs.cmu.edu/~callan/Papers/cikm02a.pdf (2002)
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