[PDF] Top 20 Acquiring Verb Classes Through Bottom Up Semantic Verb Clustering
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Acquiring Verb Classes Through Bottom Up Semantic Verb Clustering
... of classes, the levels of granularity varied between annotators: the dif- ference between the minimum and maximum number of classes equals 12 for Polish and Croatian, and 19 for En- ...47 classes, ... See full document
7
Clustering Hungarian Verbs on the Basis of Complementation Patterns
... tic classes relevant for the description of Hungarian verbs’ alternation ...our clustering attempts is provided by the so-called Semantic Base Hypothesis (Levin, 1993; Koenig et ...lish ... See full document
6
Inducing German Semantic Verb Classes from Purely Syntactic Subcategorisation Information
... syntactic verb information by PPs was helpful for the semantic ...the clustering of verbs with obligatory PP arguments than in the clustering of verbs where the PPs are optional; we performed ... See full document
8
Improved Lexical Acquisition through DPP based Verb Clustering
... Verb clustering A variety of VC approaches have been proposed in the ...syntactic, semantic and mixed syntactic- semantic classifications (Grishman et ...style classes (Levin, 1993) ... See full document
11
Extending VerbNet with Novel Verb Classes
... of verb classes in VN ...matic verb acquisition (Swift, 2005), semantic role labeling (Swier and Stevenson, 2004), robust semantic parsing (Shi and Mihalcea, 2005), word sense ... See full document
6
Diathesis alternation approximation for verb clustering
... and semantic information (Resnik, 1993; McCarthy and Korhonen, 1998; Lapata, 1999; McCarthy, 2000; Tsang and Stevenson, ...classify up to 496 verbs us- ing 11 different classifications each having be- tween ... See full document
6
Human Verb Associations as the Basis for Gold Standard Verb Classes: Validation against GermaNet and FrameNet
... standard semantic verb classification? There are a variety of manual semantic verb classifications; major frameworks are the Levin classes (Levin, 1993), WordNet (Fellbaum, 1998) with ... See full document
6
Can Human Verb Associations Help Identify Salient Features for Semantic Verb Classification?
... salient verb features for semantic verb ...theory-independent semantic classification of the German verbs, assuming that the associations model a non-restricted set of salient verb ... See full document
8
Experiments on the Automatic Induction of German Semantic Verb Classes
... the verb data. This would require more data manually labeled with classes in order to train a ...the verb classes with respect to the feature ...existing clustering, a soft ... See full document
36
A Step wise Usage based Method for Inducing Polysemy aware Verb Classes
... ducing verb classes from verb uses in giga- word ...two clustering steps: verb-specific seman- tic frames are first induced by clustering verb uses in a corpus and then ... See full document
11
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
... of Verb- Net classes. By combining verb-class associa- tions from VerbNet and SemLink, and features ex- tracted from a large unannotated corpus, we could successfully train a log-linear model in a ... See full document
10
Semantic classifications for detection of verb metaphors
... whole semantic domains that certainly generalize beyond narrowly-conceived concepts; thus, save and waste share a very general semantic feature of applying to finite resources – it is this meaning el- ement ... See full document
6
Compositional Semantics using Feature Based Models from WordNet
... word semantic models, such as those based on the WordNet relationships; ...the semantic representation of composite expressions using a feature-based approach (Hadj Taieb et ... See full document
11
A database of semantic clusters of verb usages
... hand, the 30-verb sample suggests that we generally tend to split patterns. The average number of patterns is 13.6 in VPS compared to 9.23 on the same set of verbs in PDEV (March 2012). The number of patterns is ... See full document
8
The retreat from locative overgeneralisation errors : a novel verb grammaticality judgment study
... demonstrates that adults (M = 1.78, SE = 0.12) showed a greater degree of dispreference for ungrammatical sentences than both 9- year-olds (M = 1.24, SE = 0.08) and 5-year-olds (M = 0.79, SE = 0.14), and that 9-year-olds ... See full document
13
The Retreat from Locative Overgeneralisation Errors: A Novel Verb Grammaticality Judgment Study
... demonstrates that adults (M = 1.78, SE = 0.12) showed a greater degree of dispreference for ungrammatical sentences than both 9- year-olds (M = 1.24, SE = 0.08) and 5-year-olds (M = 0.79, SE = 0.14), and that 9-year-olds ... See full document
12
Semantic annotation of French corpora: animacy and verb semantic classes
... for verb semantic ...the verb and on both complements, in the TIGER XML format (Mengel and Lezius, ...for verb semantic classes, we used three of the five levels of ... See full document
5
Acquiring distributed representations for verb-object pairs by using word2vec
... the verb-object pairs in the first sentence is “wash(dishes),” and those for the second sentence is “do(dishes)” with the light verb ...for verb-object pairs (‘do’ and ‘dishes’ pair) and those for ... See full document
9
RELLY: Inferring Hypernym Relationships Between Relational Phrases
... porates semantic and statistical information from sources such as YAGO, WordNet, PATTY, and HARPY, and uses PSL to combine and reason over these ...methods), semantic (binary predicates ac- quired from ... See full document
11
Experiments on the Choice of Features for Learning Verb Classes
... This pa- per presents clustering experiments on 168 German verbs, which explore the relevance of features on three levels of verb description, purely syntactic frame types, prepositional[r] ... See full document
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