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Results 1 - 10
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397
Can Semantic Roles Generalize Across Genres?
, 2007
"... PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to overfit on idiosyncrasies of that text’s style, and do not port well to other genres. In addition, since PropBank was de ..."
Abstract
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Cited by 12 (4 self)
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Bank was designed on a verb-by-verb basis, the argument labels Arg2- Arg5 get used for very diverse argument roles with inconsistent training instances. For example, the verb “make ” uses Arg2 for the “Material ” argument; but the verb “multiply” uses Arg2 for the “Extent ” argument. As a result, it can
Combining lexical resources: Mapping between propbank and verbnet
- In Proceedings of the 7th International Workshop on Computational Linguistics
, 2007
"... A wide variety of lexical resources have been created to allow automatic semantic processing of novel text. However, each resource has its own practical and theoretical idiosyncracies, making it difficult to combine the information from different resources. We discuss the form that these differences ..."
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Cited by 35 (10 self)
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on a verb-by-verb basis, the argument labels Arg2- Arg5 get used for a wide variety of argument roles. As a result, it can be difficult for automatic classifiers to learn to distinguish these arguments. But by using the mapping that we have created between PropBank and VerbNet, we can train a
unknown title
"... Abstract PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to overfit on idiosyncrasies of that text's style, and do not port well to other genres. In addition, since ..."
Abstract
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PropBank was designed on a verb-by-verb basis, the argument labels Arg2 -Arg5 get used for very diverse argument roles with inconsistent training instances. For example, the verb "make" uses Arg2 for the "Material" argument; but the verb "multiply" uses Arg2 for the "
Verbs and Adverbs: Multidimensional Motion Interpolation Using Radial Basis Functions
- IEEE Computer Graphics and Applications
, 1998
"... This paper describes methods and data structures used to leverage motion sequences of complex linked figures. We present a technique for interpolating between example motions derived from live motion capture or produced through traditional animation tools. These motions can be characterized by emoti ..."
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Cited by 351 (5 self)
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by emotional expressiveness or control behaviors such as turning or going uphill or downhill. We call such parameterized motions "verbs" and the parameters that control them "adverbs." Verbs can be combined with other verbs to form a "verb graph," with smooth transitions between
Noun Classification From Predicate.argument Structures
, 1990
"... A method of determining the similarity of nouns on the basis of a metric derived from the distribution of subject, verb and object in a large text corpus is described. The resulting quasi-semantic classification of nouns demonstrates the plausibility of the distributional hypothesis, and has potent ..."
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Cited by 291 (0 self)
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A method of determining the similarity of nouns on the basis of a metric derived from the distribution of subject, verb and object in a large text corpus is described. The resulting quasi-semantic classification of nouns demonstrates the plausibility of the distributional hypothesis, and has
A basis for generating expectancies for verbs from nouns
- MEMORY & COGNITION
, 2005
"... A basis for generating expectancies for verbs from nouns The role of expectancy generation in sentence processing has attracted increased attention over the past several years. There has long been reason to believe that comprehenders generate expectations about upcoming words as they process sentenc ..."
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Cited by 32 (3 self)
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A basis for generating expectancies for verbs from nouns The role of expectancy generation in sentence processing has attracted increased attention over the past several years. There has long been reason to believe that comprehenders generate expectations about upcoming words as they process
Learning Verbs Without Arguments: The Problem of Raising Verbs
"... This paper addresses the problem of learning the class of raising verbs (e.g. seem). These verbs are potentially problematic for learners in that unlike typical main verbs, these verbs do not stand in a semantic relation with any Noun Phrase (NP) arguments. Moreover, a second class of verbs, known a ..."
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Cited by 3 (1 self)
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from adults, while animate NPs paired with eventive predi-cates yielded a high rate of control verb responses. On the basis of these results, suggestions are made as to how one should study the learning of these verbs in children. KEY WORDS: language acquisition; verb learning; raising verbs; syntax.
Clustering Hungarian Verbs on the Basis of Complementation Patterns
"... Our paper reports an attempt to apply an unsupervised clustering algorithm to a Hungarian treebank in order to obtain semantic verb classes. Starting from the hypothesis that semantic metapredicates underlie verbs ’ syntactic realization, we investigate how one can obtain semantically motivated verb ..."
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Cited by 2 (0 self)
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verb classes by automatic means. The 150 most frequent Hungarian verbs were clustered on the basis of their complementation patterns, yielding a set of basic classes and hints about the features that determine verbal subcategorization. The resulting classes serve as a basis for the subsequent analysis
The interaction of light verbs and verb classes of urdu
- In Interdisciplinary workshop on Verbs: The
, 2010
"... The paper describes an attempt of identifying Urdu verb classes on the basis of the distribu-tion of light verbs with different main verbs. We started with a frequency analysis of main + light verb sequences. The analysis of that data lead us to a thorough manual analysis of main + light verb sequen ..."
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Cited by 1 (0 self)
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The paper describes an attempt of identifying Urdu verb classes on the basis of the distribu-tion of light verbs with different main verbs. We started with a frequency analysis of main + light verb sequences. The analysis of that data lead us to a thorough manual analysis of main + light verb
Results 1 - 10
of
397
