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Australasian Language Technology As
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ALTA 2012 Workshop Committees Works
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ALTA 2012 Programme The proceedings
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Contents Invited talks 1 Using a la
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Invited talks 1
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Diverse Words, Shared Meanings: Sta
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A Citation Centric Annotation Schem
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The structure of this paper is as f
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understanding of sentences surround
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henceforth referred to as Annotator
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References Angrosh, M A, Cranefield
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Semantic Judgement of Medical Conce
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2012). The TE model provides a form
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Correlation coefficient with human
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Pair # Concept 1 Doc. Freq. Concept
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Active Learning and the Irish Treeb
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2.2 Sources of annotator disagreeme
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complement (csubj) 2 . See Figure 4
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top Y trees from this ordered set a
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References Ron Artstein and Massimo
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Unsupervised Estimation of Word Usa
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not lend itself to determining unsu
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T 0: think, want, thing, look, tell
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correlation is much stronger than t
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References Eneko Agirre and Philip
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eaders with sentences with a negati
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Question Which word is closest in m
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Acceptability and negativity: conce
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MORE NEGATIVE / LESS NEGATIVE MR Δ
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Julie Elizabeth Weeds. 2003. Measur
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cation produced by a supervised mac
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- Page 79 and 80: techniques used are, of necessity,
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- Page 83 and 84: Figure 2: Methodologies of human as
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- Page 87 and 88: Towards Two-step Multi-document Sum
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- Page 93 and 94: T T & C CC z -1.5 -1.27 -1.33 p-val
- Page 95 and 96: References Alan R. Aronson. 2001. E
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- Page 103 and 104: Ex. 1 Ex. 2 Ex. 3 Score Song Title
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- Page 119 and 120: Acknowledgments NICTA is funded by
- Page 121 and 122: LaBB-CAT: an Annotation Store Rober
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- Page 133 and 134: All Struct. Unstruct. Total - Abstr
- Page 135 and 136: System Population Intervention Back
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- Page 143 and 144: 3 Software Used All experimentation
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- Page 149 and 150: 3 Results For the initial experimen