mirror of https://github.com/explosion/spaCy.git
Update benchmarks and data table style
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ddff7dc474
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@ -452,8 +452,8 @@ mixin head-cell()
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//- Table cell (only used within +row in +table)
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mixin cell(align)
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td.c-table__cell.u-text(class=align ? "u-text-" + align : null)&attributes(attributes)
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mixin cell(...style)
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td.c-table__cell.u-text(class=prefixArgs(style, "c-table__cell"))&attributes(attributes)
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block
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@ -71,7 +71,7 @@ for id in CURRENT_MODELS
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+label=label
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if MODEL_META[field]
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| #[+help(MODEL_META[field]).u-color-subtle]
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+cell("right")(data-tpl=id data-tpl-key=field)
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+cell("num")(data-tpl=id data-tpl-key=field)
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| n/a
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p.u-text-small.u-color-dark(data-tpl=id data-tpl-key="notes")
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@ -32,6 +32,15 @@
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&:not(:last-child)
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border-right: 1px solid $color-subtle
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&.c-table__cell--num
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text-align: right
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font-feature-settings: "tnum"
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font-variant-numeric: tabular-nums
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& > strong
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font-feature-settings: initial
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font-variant-numeric: initial
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//- Table head cell
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@ -5,41 +5,41 @@
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+cell #[strong spaCy v2.x]
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+cell 2017
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+cell Python / Cython
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+cell("right") #[strong 92.6]
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+cell("right") #[em n/a]
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+cell("num") #[strong 92.6]
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+cell("num") #[em n/a]
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| #[+help("This table shows speed as benchmarked by Choi et al. We therefore can't provide comparable figures, as we'd be running the benchmark on different hardware.").u-color-dark]
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+row
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+cell #[strong spaCy v1.x]
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+cell 2015
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+cell Python / Cython
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+cell("right") 91.8
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+cell("right") 13,963
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+cell("num") 91.8
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+cell("num") 13,963
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+row
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+cell ClearNLP
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+cell 2015
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+cell Java
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+cell("right") 91.7
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+cell("right") 10,271
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+cell("num") 91.7
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+cell("num") 10,271
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+row
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+cell CoreNLP
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+cell 2015
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+cell Java
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+cell("right") 89.6
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+cell("right") 8,602
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+cell("num") 89.6
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+cell("num") 8,602
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+row
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+cell MATE
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+cell 2015
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+cell Java
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+cell("right") 92.5
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+cell("right") 550
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+cell("num") 92.5
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+cell("num") 550
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+row
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+cell Turbo
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+cell 2015
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+cell C++
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+cell("right") 92.4
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+cell("right") 349
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+cell("num") 92.4
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+cell("num") 349
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@ -20,34 +20,34 @@ p
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+row
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+cell #[+a("/models/en#en_core_web_sm") #[code en_core_web_sm]] 2.0.0a8
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each data in ["2.x", "neural"]
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+cell("right")=data
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+cell("right") 91.7
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+cell("right") 85.3
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+cell("right") 97.0
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+cell("right") 10.1k
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+cell("right") #[strong 35 MB]
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+cell("num")=data
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+cell("num") 91.7
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+cell("num") 85.3
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+cell("num") 97.0
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+cell("num") 10.1k
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+cell("num") #[strong 35MB]
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+row
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+cell #[+a("/models/en#en_core_web_lg") #[code en_core_web_lg]] 2.0.0a3
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each data in ["2.x", "neural"]
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+cell("right")=data
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+cell("right") #[strong 91.9]
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+cell("right") #[strong 85.9]
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+cell("right") #[strong 97.2]
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+cell("right") 5.0k
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+cell("right") 812 MB
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+cell("num")=data
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+cell("num") #[strong 91.9]
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+cell("num") #[strong 85.9]
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+cell("num") #[strong 97.2]
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+cell("num") 10.0k
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+cell("num") 812MB
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+row("divider")
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+cell #[code en_core_web_sm] 1.2.0
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each data in ["1.x", "linear", 86.6, 78.5, 96.6]
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+cell("right")=data
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+cell("right") #[strong 25.7k]
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+cell("right") 50 MB
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+cell("num")=data
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+cell("num") #[strong 25.7k]
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+cell("num") 50MB
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+row
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+cell #[code en_core_web_md] 1.2.1
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each data in ["1.x", "linear", 90.6, 81.4, 96.7, "18.8k", "1GB"]
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+cell("right")=data
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+cell("num")=data
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+h(4, "benchmarks-models-spanish") Spanish
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@ -59,29 +59,29 @@ p
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+table(["Model", "spaCy", "Type", "UAS", "NER F", "POS", "WPS", "Size"])
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+row
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+cell #[+a("/models/es#es_core_news_sm") #[code es_core_news_sm]] 2.0.0a0
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+cell("right") 2.x
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+cell("right") neural
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+cell("right") 89.8
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+cell("right") 88.7
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+cell("right") #[strong 96.9]
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+cell("right") #[em n/a]
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+cell("right") #[strong 35 MB]
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+cell("num") 2.x
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+cell("num") neural
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+cell("num") 89.8
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+cell("num") 88.7
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+cell("num") #[strong 96.9]
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+cell("num") #[em n/a]
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+cell("num") #[strong 35MB]
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+row
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+cell #[+a("/models/es#es_core_news_md") #[code es_core_news_md]] 2.0.0a0
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+cell("right") 2.x
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+cell("right") neural
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+cell("right") #[strong 90.2]
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+cell("right") 89.0
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+cell("right") 97.8
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+cell("right") #[em n/a]
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+cell("right") 93 MB
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+cell("num") 2.x
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+cell("num") neural
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+cell("num") #[strong 90.2]
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+cell("num") 89.0
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+cell("num") 97.8
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+cell("num") #[em n/a]
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+cell("num") 93MB
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+row("divider")
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+cell #[code es_core_web_md] 1.1.0
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each data in ["1.x", "linear", 87.5]
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+cell("right")=data
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+cell("right") #[strong 94.2]
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+cell("right") 96.7
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+cell("right") #[em n/a]
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+cell("right") 377 MB
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+cell("num")=data
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+cell("num") #[strong 94.2]
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+cell("num") 96.7
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+cell("num") #[em n/a]
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+cell("num") 377MB
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@ -50,55 +50,55 @@ p
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+cell spaCy v2.0.0
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+cell 2017
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+cell neural
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+cell("right") 94.48
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+cell("num") 94.48
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+row
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+cell spaCy v1.1.0
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+cell 2016
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+cell linear
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+cell("right") 92.80
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+cell("num") 92.80
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+row("divider")
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+cell
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+a("https://arxiv.org/pdf/1611.01734.pdf") Dozat and Manning
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+cell 2017
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+cell neural
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+cell("right") #[strong 95.75]
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+cell("num") #[strong 95.75]
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+row
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+cell
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+a("http://arxiv.org/abs/1603.06042") Andor et al.
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+cell 2016
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+cell neural
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+cell("right") 94.44
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+cell("num") 94.44
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+row
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+cell
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+a("https://github.com/tensorflow/models/tree/master/research/syntaxnet") SyntaxNet Parsey McParseface
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+cell 2016
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+cell neural
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+cell("right") 94.15
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+cell("num") 94.15
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+row
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+cell
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+a("http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43800.pdf") Weiss et al.
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+cell 2015
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+cell neural
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+cell("right") 93.91
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+cell("num") 93.91
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+row
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+cell
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+a("http://research.google.com/pubs/archive/38148.pdf") Zhang and McDonald
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+cell 2014
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+cell linear
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+cell("right") 93.32
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+cell("num") 93.32
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+row
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+cell
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+a("http://www.cs.cmu.edu/~ark/TurboParser/") Martins et al.
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+cell 2013
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+cell linear
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+cell("right") 93.10
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+cell("num") 93.10
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+h(4, "ner-accuracy-ontonotes5") NER accuracy (OntoNotes 5, no pre-process)
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@ -113,35 +113,35 @@ p
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+cell spaCy #[+a("/models/en#en_core_web_lg") #[code en_core_web_lg]] v2.0.0a3
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+cell 2017
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+cell neural
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+cell("right") 85.85
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+cell("num") 85.85
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+row("divider")
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+cell
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+a("https://arxiv.org/pdf/1702.02098.pdf") Strubell et al.
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+cell 2017
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+cell neural
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+cell("right") #[strong 86.81]
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+cell("num") #[strong 86.81]
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+row
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+cell
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+a("https://www.semanticscholar.org/paper/Named-Entity-Recognition-with-Bidirectional-LSTM-C-Chiu-Nichols/10a4db59e81d26b2e0e896d3186ef81b4458b93f") Chiu and Nichols
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+cell 2016
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+cell neural
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+cell("right") 86.19
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+cell("num") 86.19
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+row
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+cell
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+a("https://www.semanticscholar.org/paper/A-Joint-Model-for-Entity-Analysis-Coreference-Typi-Durrett-Klein/28eb033eee5f51c5e5389cbb6b777779203a6778") Durrett and Klein
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+cell 2014
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+cell neural
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+cell("right") 84.04
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+cell("num") 84.04
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+row
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+cell
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+a("http://www.aclweb.org/anthology/W09-1119") Ratinov and Roth
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+cell 2009
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+cell linear
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+cell("right") 83.45
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+cell("num") 83.45
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+h(3, "spacy-models") Model comparison
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@ -183,24 +183,24 @@ p
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+row
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+cell #[strong spaCy]
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each data in [ "0.2ms", "1ms", "19ms"]
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+cell("right") #[strong=data]
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+cell("num") #[strong=data]
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each data in ["1x", "1x", "1x"]
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+cell("right")=data
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+cell("num")=data
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+row
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+cell CoreNLP
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each data in ["2ms", "10ms", "49ms", "10x", "10x", "2.6x"]
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+cell("right")=data
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+cell("num")=data
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+row
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+cell ZPar
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each data in ["1ms", "8ms", "850ms", "5x", "8x", "44.7x"]
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+cell("right")=data
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+cell("num")=data
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+row
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+cell NLTK
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each data in ["4ms", "443ms"]
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+cell("right")=data
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+cell("right") #[em n/a]
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+cell("num")=data
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+cell("num") #[em n/a]
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each data in ["20x", "443x"]
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+cell("right")=data
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+cell("right") #[em n/a]
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+cell("num")=data
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+cell("num") #[em n/a]
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