Semantic Relations Between Nominals, Second Edition
نویسندگان
چکیده
Abstract Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that are instances of the class Mars rovers, and...
منابع مشابه
SemEval-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 کاملAutomatic identification of semantic relations in Italian complex nominals
This paper addresses the problem of the identification of the semantic relations in Italian complex nominals (CNs) of the type N+P+N. We exploit the fact that the semantic relation, which is underspecified in most cases, is partially made explicit by the preposition. We develop an annotation framework around five different semantic relations, which we use to create a corpus of 1700 Italian CNs,...
متن کاملUCD-PN: Classification of Semantic Relations Between Nominals using WordNet and Web Counts
For our system we use the SMO implementation of a support vector machine provided with the WEKA machine learning toolkit. As with all machine learning approaches, the most important step is to choose a set of features which reliably help to predict the label of the example. We used 76 features drawn from two very different knowledge sources. The first 48 features are boolean values indicating w...
متن کاملUIUC: A Knowledge-rich Approach to Identifying Semantic Relations between Nominals
This paper describes a supervised, knowledge-intensive approach to the automatic identification of semantic relations between nominals in English sentences. The system employs different sets of new and previously used lexical, syntactic, and semantic features extracted from various knowledge sources. At SemEval 2007 the system achieved an F-measure of 72.4% and an accuracy of 76.3%.
متن کاملClassification of Semantic Relations between Nominals: Description of Task 4 in SemEval-1
1. Department of Linguistics, University of Illinois at Urbana-Champaign, [email protected] 2. School of Information, University of California, Berkeley, [email protected] 3. Department of Electrical Engineering and Computer Science, University of California, Berkeley, [email protected] 4. School of Information Technology and Engineering, University of Ottawa, [email protected]...
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ژورنال
عنوان ژورنال: Synthesis lectures on human language technologies
سال: 2021
ISSN: ['1947-4040', '1947-4059']
DOI: https://doi.org/10.2200/s01078ed2v01y202002hlt049