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Hits 41 – 60 of 227

41
A phrase-based alignment model for natural language inference
In: http://nlp.stanford.edu/~mgalley/papers/emnlp08-nli.pdf (2008)
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42
Prosodic words are hard to recognize? Prosodic, lexical, . . .
In: http://nlp.stanford.edu/pubs/sgwater08a.pdf (2008)
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43
Parsing Three German Treebanks: Lexicalized and Unlexicalized Baselines
In: http://nlp.stanford.edu/pubs/german-acl08.pdf (2008)
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44
Optimizing chinese word segmentation for machine translation performance
In: http://nlp.stanford.edu/pubs/acl-wmt08-cws.pdf (2008)
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45
Modeling semantic containment and exclusion in natural language inference
In: http://aclweb.org/anthology-new/C/C08/C08-1066.pdf (2008)
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46
A phrase-based alignment model for natural language inference
In: http://www.aclweb.org/anthology-new/D/D08/D08-1084.pdf (2008)
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47
Parsing three German treebanks: Lexicalized and unlexicalized baselines
In: http://www.aclweb.org/anthology-new/W/W08/W08-1006.pdf (2008)
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48
A Simple and Effective Hierarchical Phrase Reordering Model
In: http://www.mt-archive.info/EMNLP-2008-Galley.pdf (2008)
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49
A global joint model for semantic role labeling
In: http://www.aclweb.org/anthology/J/J08/J08-2002.pdf (2008)
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50
A simple and effective hierarchical phrase reordering model
In: http://www-nlp.stanford.edu/%7Emgalley/papers/emnlp08-lexorder.pdf (2008)
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51
A Simple and Effective Hierarchical Phrase Reordering Model
In: http://nlp.stanford.edu/pubs/emnlp08-lexorder.pdf (2008)
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52
A Simple and Effective Hierarchical Phrase Reordering Model
In: http://www.aclweb.org/anthology-new/D/D08/D08-1089.pdf (2008)
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53
typed dependencies manual
In: http://www-nlp.stanford.edu/software/dependencies_manual.pdf (2008)
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54
Stanford typed dependencies manual
In: http://nlp.stanford.edu/software/dependencies_manual.pdf (2008)
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55
Solving the problem of cascading errors: Approximate bayesian inference for linguistic annotation pipelines
In: http://nlp.stanford.edu/cmanning/papers/pipeline.pdf (2006)
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56
Solving the problem of cascading errors: Approximate bayesian inference for linguistic annotation pipelines
In: http://nlp.stanford.edu/cmanning/papers/pipeline.ps (2006)
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57
Special issue: Probabilistic models of cognition
In: http://www.dectech.co.uk/publications/LinksNick/Language/Language.pdf (2006)
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58
Solving the problem of cascading errors: Approximate Bayesian inference for linguistic annotation pipelines
In: http://www.aclweb.org/anthology-new/W/W06/W06-1673.pdf (2006)
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59
Probabilistic models of language processing and acquisition
In: http://courses.csail.mit.edu/6.803/pdf/chater-manning2006.pdf (2006)
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60
Robust textual inference via learning and abductive reasoning
In: http://www.robotics.stanford.edu/~ang/papers/aaai05-learnabduction.ps (2005)
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