منابع مشابه
Disambiguating Visual Verbs
In this article, we introduce a new task, visual sense disambiguation for verbs: given an image and a verb, assign the correct sense of the verb, i.e., the one that describes the action depicted in the image. Just as textual word sense disambiguation is useful for a wide range of NLP tasks, visual sense disambiguation can be useful for multimodal tasks such as image retrieval, image description...
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The purpose of this study is to disambiguate Japanese compound verbs (JCV) based on two methods: (1) a statistical method which makes use of collocational or semantic information about different verb combinations, and (2) a manual rule-based method which utilises verbal and nominal semantic features. We also present a combined method where the output of the statistical method is fed into the ru...
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Lapata and Brew (2004) (hereafter LB04) obtain from untagged texts a statistical prior model that is able to generate class preferences for ambiguous Levin (1993) verbs (hereafter Levin). They also show that their informative priors, incorporated into a Naive Bayes classifier deduced from hand-tagged data, can aid in verb class disambiguation. We reanalyse LB04’s prior model and show that a sin...
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Lapata and Brew [8] (hereafter LB04) obtain from untagged texts a statistical prior model that is able to generate class preferences for ambiguous Levin [9] verbs. They also show that their informative priors, incorporated into a Naive Bayesian classifier deduced from handtagged data, can aid in verb class disambiguation. We re-examine the parameter estimation of LB04’s prior model and identify...
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In this paper, I demonstrate that verbs can be disambiguated according to aspect by rules that exam° hue the WordNet category of the direct object. First, when evaluated over a corpus of medical reports, I show that WordNet categories correlate with aspectual class. Then, I develop a rule for distinguishing between stative and event occurrences of have by the WordNet category of the direct obje...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2019
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2017.2786699