Kim, Su Nam and Timothy Baldwin (2008) Benchmarking Noun Compound Interpretation, In Proceedings of the Third International Joint Conference on Natural Language Processing (IJCNLP 2008), Hyderabad, India
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چکیده
In this paper we provide benchmark results for two classes of methods used in interpreting noun compounds (NCs): semantic similarity-based methods and their hybrids. We evaluate the methods using 7-way and binary class data from the nominal pair interpretation task of SEMEVAL-2007.1 We summarize and analyse our results, with the intention of providing a framework for benchmarking future research in this area.
منابع مشابه
Baldwin, Timothy, Su Nam Kim, Francis Bond, Sanae Fujita, David Martinez and Takaaki Tanaka (2008) MRD-based Word Sense Disambiguation: Further Extending Lesk, In Proceedings of the Third International Joint Conference on Natural Language Processing (IJCNLP 2008), Hyderabad, India
This paper reconsiders the task of MRDbased word sense disambiguation, in extending the basic Lesk algorithm to investigate the impact onWSD performance of different tokenisation schemes, scoring mechanisms, methods of gloss extension and filtering methods. In experimentation over the Lexeed Sensebank and the Japanese Senseval2 dictionary task, we demonstrate that character bigrams with sense-s...
متن کاملKim, Su Nam and Timothy Baldwin (2008) An Unsupervised Approach to Interpreting Noun Compounds, In Proceedings of 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'08), Beijing, China
This paper proposes an unsupervised approach to automatically interpret noun compounds using semantic similarity. Our proposed unsupervised method is based on obtaining a large amount of robust evidence for NC interpretation. In order to obtain evidence sentences for semantic relations (SRs), we first acquired sentences containing both a head noun and its modifier in the form of SR definitions....
متن کاملBenchmarking Noun Compound Interpretation
In this paper we provide benchmark results for two classes of methods used in interpreting noun compounds (NCs): semantic similarity-based methods and their hybrids. We evaluate the methods using 7-way and binary class data from the nominal pair interpretation task of SEMEVAL-2007.1 We summarize and analyse our results, with the intention of providing a framework for benchmarking future researc...
متن کاملStandardised Evaluation of English Noun Compound Interpretation Su Nam Kim and Timothy Baldwin Interpreting Compound Nominalisations Jeremy Nicholson and Timothy Baldwin Paraphrasing Verbs for Noun Compound Interpretation
This paper describes a dataset which provides the platform for a task on the extraction of English verb particle constructions with basic valence information.
متن کاملKim, Su Nam and Timothy Baldwin (2013) A Lexical Semantic Approach to Interpreting and Bracketing English Noun Compounds, Natural Language Engineering 19(3), pp. 385-407
This paper presents a study on the interpretation and bracketing of noun compounds (“NCs”), based on lexical semantics. Our primary goal is to develop a method to automatically interpret NCs through the use of semantic relations. Our NC interpretation method is based on lexical similarity with tagged NCs, based on lexical similarity measures derived fromWordNet. We apply the interpretation meth...
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تاریخ انتشار 2008