Improving Noun-Modifier Semantic Relation Prediction with Visual Information
نویسنده
چکیده
منابع مشابه
A VSM-based Statistical Model for the Semantic Relation Interpretation of Noun-Modifier Pairs
The paper addresses the task of automatic interpretation of semantic relation in noun compounds. The problem has been attempted with both Ontology-based and Statistical approaches, but both approaches having their own limitations. We present a novel VSMbased statistical model which represents each relation with a weighted vector of prepositional and verbal paraphrases. The model ranks the parap...
متن کاملThe influence of interactional semantic patterns on the interpretation of noun-noun compounds.
The CARIN theory (C. L. Gagné & E. J. Shoben, 1997) proposes that people use statistical knowledge about the relations with which modifiers are typically used to facilitate the interpretation of modifier-noun combinations. However, research on semantic patterns in compounding has suggested that regularities tend to be associated with pairings of semantic categories, rather than individual conce...
متن کاملUnderstanding Karma Police: The Perceived Plausibility of Noun Compounds as Predicted by Distributional Models of Semantic Representation
Noun compounds, consisting of two nouns (the head and the modifier) that are combined into a single concept, differ in terms of their plausibility: school bus is a more plausible compound than saddle olive. The present study investigates which factors influence the plausibility of attested and novel noun compounds. Distributional Semantic Models (DSMs) are used to obtain formal (vector) represe...
متن کاملSemantic Classification of Noun Phrases Using Web Counts and Learning Algorithms
This paper investigates the use of machine learning algorithms to label modifier-noun compounds with a semantic relation. The attributes used as input to the learning algorithms are the web frequencies for phrases containing the modifier, noun, and a prepositional joining term. We compare and evaluate different algorithms and different joining phrases on Nastase and Szpakowicz’s (2003) dataset ...
متن کاملSemEval-2007 Task 04: Classification of Semantic Relations between Nominals
The NLP community has shown a renewed interest in deeper semantic analyses, among them automatic recognition of relations between pairs of words in a text. We present an evaluation task designed to provide a framework for comparing different approaches to classifying semantic relations between nominals in a sentence. This is part of SemEval, the 4 edition of the semantic evaluation event previo...
متن کامل