Apr 23, 2012 · This paper introduces a method named PONG. (for Part-Of-Speech N-Grams) to compute selectional preferences for many different relations by ...
This paper introduces a method named PONG. (for Part-Of-Speech N-Grams) to compute selectional preferences for many different relations by combining part-of- ...
We present the PONG method to compute selectional preferences using part-of-speech (POS) N-grams. From a corpus labeled with grammatical dependencies, ...
We present the PONG method to compute selectional preferences using part-of-speech (POS) N-grams ... Inferring Selectional Preferences from Part-Of-Speech N-grams.
We present the PONG method to compute selectional preferences using part-of-speech (POS) N-grams. From a corpus labeled with grammatical dependencies, ...
Bibliographic details on Inferring Selectional Preferences from Part-Of-Speech N-grams.
Inferring Selectional Preferences from Part-Of-Speech N-grams. Hyeju Jang | Jack Mostow |. Paper Details: Month: April Year: 2012. Location: Avignon, France
Using automatically learnt verb selectional preferences for ...
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In this paper, we present an approach to term classification based on verb selectional patterns (VSPs), where such a pattern is defined as a set of semantic ...
Abstract: In this paper, we propose a approach based on distributional semantic model to the selectional preference in the verb & dobj (direct object) ...
We created a dataset of syntactic-ngrams. (counted dependency-tree fragments) based on a corpus of 3.5 million English books. The dataset includes over 10.