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1
Using paraphrases for improving first story detection in news and twitter
In: http://homepages.inf.ed.ac.uk/miles/papers/naacl12.pdf (2012)
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2
Opinion retrieval in twitter
In: http://homepages.inf.ed.ac.uk/miles/papers/icwsm12.pdf (2012)
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3
Using paraphrases for improving first story detection in news and twitter
In: http://www.aclweb.org/anthology-new/N/N12/N12-1034.pdf (2012)
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4
Constructing parallel corpora for six indian languages via crowdsourcing
In: http://www.aclweb.org/anthology/W12-3152/ (2012)
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5
LRscore for evaluating lexical and reordering quality
In: http://aclweb.org/anthology-new/W/W10/W10-1749.pdf (2010)
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6
LRscore for evaluating lexical and reordering quality
In: http://www.mt-archive.info/WMT-2010-Birch.pdf (2010)
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7
A Gibbs sampler for phrasal synchronous grammar induction
In: http://nlp.csie.ncnu.edu.tw/~shin/acl-ijcnlp2009/proceedings/CDROM/ACLIJCNLP/pdf/ACLIJCNLP088.pdf (2009)
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8
Bayesian synchronous grammar induction
In: http://books.nips.cc/papers/files/nips21/NIPS2008_0238.pdf (2008)
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9
Modelling lexical redundancy for machine translation
In: http://www.mt-archive.info/Coling-ACL-2006-Talbot.pdf (2006)
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10
Modelling lexical redundancy for machine translation
In: http://acl.ldc.upenn.edu/P/P06/P06-1122.pdf (2006)
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11
Modelling lexical redundancy for machine translation
In: http://www.iccs.informatics.ed.ac.uk/~osborne/papers/acl06.pdf (2006)
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12
Constraining the phrase-based, joint probability statistical translation model
In: http://www.mt-archive.info/HLT-NAACL-2006-Birch.pdf (2006)
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13
Constraining the Phrase-Based, Joint Probability Statistical Translation Model
In: http://www.statmt.org/wmt06/proceedings/pdf/WMT23.pdf (2006)
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14
1 Statistical Natural Language Processing
In: http://www-csli.stanford.edu/~ccb/publications/statistical-natural-language-processing-chapter.pdf (2003)
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15
Statistical Natural Language Processing
In: http://www.cogsci.ed.ac.uk/~osborne/csli.pdf (2003)
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16
Using Language Models to Assist in the Correction of Machine Translation Output
In: http://www.ling.ed.ac.uk/teaching/postgrad/mscslp/archive/dissertations/2001-2/beatrice_alex.pdf (2002)
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17
Shallow Parsing with PoS Taggers and Linguistic Features
In: http://www.ai.mit.edu/projects/jmlr/papers/volume2/megyesi02a/megyesi02a.pdf (2002)
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18
Memory-Based Shallow Parsing
In: http://cnts.uia.ac.be/cnts/papers/./ps/20020417.4146.jmlr2002.ps (2002)
Abstract: We present memory-based learning approaches to shallow parsing and apply these to five tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection, noun phrase parsing and full parsing. We use feature selection techniques and system combination methods for improving the performance of the memory-based learner. Our approach is evaluated on standard data sets and the results are compared with that of other systems. This reveals that our approach works well for base phrase identification while its application towards recognizing embedded structures leaves some room for improvement.
Keyword: feature selection; memory-based learning; shallow parsing; system combination
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.9106
http://cnts.uia.ac.be/cnts/papers/./ps/20020417.4146.jmlr2002.ps
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19
Memory-based Shallow Parsing
In: http://jmlr.csail.mit.edu/papers/volume2/tks02a/tks02a.pdf (2002)
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20
Using Language Models to Assist in the Correction Of Machine Translation Output
In: http://www.cogsci.ed.ac.uk/~osborne/msc-projects/alex.ps.gz (2002)
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