Automated WordNet Construction Using Word Embeddings · (WOLF) [4] Universal Wordnet [5] Extended...
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(pistol) (shooting) (to shoot) (species) (crossbow) (kind) (family) (plant) (coriander) (cilantro) (celery) (garlic) Isometric mapping of sense-clusters found for "лук" ("bow", "onion") A u t o m a t e d W o r d N e t C o n s t r u c t i o n U s i n g W o r d E m b e d d i n g s Mikhail Khodak, Andrej Risteski, Christiane Fellbaum, Sanjeev Arora Computer Science Department, Princeton University assign a score to each candidate synset flagstone flag slab Target Word get translations of target word using a bilingual dictionary or machine translation (MT) get set of candidate synsets by querying Princeton WordNet (PWN) using translations of Translations MT + PWN Synset Scoring Threshold Matching return all synsets with score above a threshold Candidates Synset Score Threshold 0.41 flag.n.01 flag.n.04 flag.n.06 flag.n.07 iris.n.01 masthead.n.01 pin.n.08 slab.n.01 score = 0.280 score = 0.222 score = 0.360 score = 0.161 score = 0.200 score = 0.195 score = 0.251 score = 0.521 Contributions: Wordnet Libre du Français (WOLF) [4] Universal Wordnet [5] Extended Open Multilingual Wordnet [6] Synset Representation Synset Representation + Sense Clusters F-Score of Synset Matching for French and Russian Isometric mapping of sense-clusters found for "fox" [1] Fellbaum, MIT Press. [2] Arora et al., ICLR 2017. [3] Arora et al., arXiv 2016. [4] Sagot and Fišer, LREC 2008. [5] de Melo and Weikum, CIKM 2009. [6] Bond and Foster, ACL 2013. Princeton WordNet French-English Dictionary French word 'dalle' � � � � � � � � correct synsets: flag.n.06 - slab.n.01 � retrieved synsets: slab.n.01 � Synset Representation: Sense Clusters:
Transcript of Automated WordNet Construction Using Word Embeddings · (WOLF) [4] Universal Wordnet [5] Extended...
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(pistol)
(shooting)
(to shoot)
(species)
(crossbow)(kind)
(family)
(plant)
(coriander)
(cilantro)
(celery)
(garlic)
Isometric mapping of sense-clustersfound for "лук"("bow", "onion")
Automated WordNet ConstructionUsing Word Embeddings
Mikhail Khodak, Andrej Risteski, Christiane Fellbaum, Sanjeev AroraComputer Science Department, Princeton University
assign a scoreto each
candidate synset
flagstone
flag
slab
TargetWord
get translations of target word using a
bilingual dictionary or machine translation (MT)
get set of candidate synsetsby querying PrincetonWordNet (PWN) using
translations of
Translations
MT + PWN SynsetScoring
ThresholdMatching
return all synsetswith score abovea threshold
Candidates SynsetScore
Threshold 0.41
flag.n.01
flag.n.04
flag.n.06
flag.n.07
iris.n.01
masthead.n.01
pin.n.08
slab.n.01
score = 0.280
score = 0.222
score = 0.360
score = 0.161
score = 0.200
score = 0.195
score = 0.251
score = 0.521
Contributions:
Wordnet Libre du Français (WOLF) [4]
Universal Wordnet [5]
Extended Open Multilingual
Wordnet [6]
Synset Representation
Synset Representation
+ Sense Clusters
F-Score of Synset Matching for French and Russian
Isometric mapping of sense-clusters found for "fox"
[1] Fellbaum, MIT Press.[2] Arora et al., ICLR 2017.[3] Arora et al., arXiv 2016.
[4] Sagot and Fišer, LREC 2008.[5] de Melo and Weikum, CIKM 2009.[6] Bond and Foster, ACL 2013.
PrincetonWordNet
French-EnglishDictionary
French word
'dalle'
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correct synsets:flag.n.06 -slab.n.01 �
retrieved synsets:slab.n.01 �
Synset Representation:
Sense Clusters:
