automatic highlighting contextual entity searchxye/papers_and_ppts/ppts/entities...microsoft...
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104Microsoft Research
β’ Automatic highlighting
β’ Contextual entity search
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105Microsoft Research
The Einstein Theory of Relativity
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106Microsoft Research
The Einstein Theory of Relativity
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107Microsoft Research
The Einstein Theory of Relativity
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108Microsoft Research
EntityThe Einstein Theory of Relativity
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109Microsoft Research
ContextThe Einstein Theory of RelativityEntity
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110Microsoft Research
The Einstein Theory of Relativity ContextThe Einstein Theory of RelativityEntity
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111Microsoft Research
Key phrase
ContextEntity page
(reference doc)
Tasks X (source text) Y (target text)
Automatic highlighting Doc in reading Key phrases to be highlighted
Contextual entity search Key phrase and context Entity and its corresponding (wiki) page
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112Microsoft Research
Key phrase
ContextEntity page
(reference doc)
Tasks X (source text) Y (target text)
Automatic highlighting Doc in reading Key phrases to be highlighted
Contextual entity search Key phrase and context Entity and its corresponding (wiki) page
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113Microsoft Research
ray of light
Ray of Light (Experiment)
Ray of Light (Song)
The Einstein Theory of Relativity
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114Microsoft Research
ray of light
Ray of Light (Experiment)
Ray of Light (Song)
The Einstein Theory of Relativity
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115Microsoft Research
β’ Two interestingness tasks for recommendation
β’ Modeling interestingness via DSSM
β’ Training data acquisition
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116Microsoft Research
π π»
β¦
I spent a lot of time finding music that was motivating and
that I'd also want to listen to through my phone. I could
find none. None! I wound up downloading three Metallica
songs, a Judas Priest song and one from Bush.β¦
http://runningmoron.blogspot.in/
β’ (text in π, anchor text of π»)
π
π»
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117Microsoft Research
π» πβ²
β¦
I spent a lot of time finding music that was motivating and
that I'd also want to listen to through my phone. I could
find none. None! I wound up downloading three Metallica
songs, a Judas Priest song and one from Bush.β¦
http://runningmoron.blogspot.in/
β’ (anchor text of π» & surrounding words, text in πβ²)
http://en.wikipedia.org/wiki/Bush_(band)
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118Microsoft Research
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119Microsoft Research
β’ Random: Random baseline
β’ Basic Feat: Boosted decision tree learner with document features, such
as anchor position, freq. of anchor, anchor density, etc.
0.041
0.215
0.062
0.253
0
0.2
0.4
0.6
Random Basic Feat
NDCG@1 NDCG@5
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120Microsoft Research
β’ + LDA Vec: Basic + Topic model (LDA) vectors [Gamon+ 2013]
β’ + Wiki Cat: Basic + Wikipedia categories (do not apply to general documents)
β’ + DSSM Vec: Basic + DSSM vectors
0.041
0.215
0.345
0.505 0.554
0.062
0.253
0.3800.475 0.524
0
0.2
0.4
0.6
Random Basic Feat + LDA Vec + Wiki Cat + DSSM
Vec
NDCG@1 NDCG@5
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121Microsoft Research
source
target
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122Microsoft Research
β’ BM25: The classical document model in IR [Robertson+ 1994]
β’ BLTM: Bilingual Topic Model [Gao+ 2011]
0.041
0.215
0.062
0.253
0
0.2
0.4
0.6
0.8
BM25 BLTM
NDCG@1 AUC
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123Microsoft Research
β’ DSSM-bow: DSSM without convolutional layer and max-pooling structure
β’ DSSM outperforms classic doc model and state-of-the-art topic model
0.041
0.215 0.223 0.259
0.062
0.253
0.699 0.711
0
0.2
0.4
0.6
0.8
BM25 BLTM DSSM-bow DSSM
NDCG@1 AUC
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124Microsoft Research
β’ Extract labeled pairs from Web browsing logs