An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
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HLT '93 Proceedings of the workshop on Human Language Technology
Supersense tagging of unknown nouns in WordNet
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Supersense tagging of unknown nouns using semantic similarity
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
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DiscAnnotation '04 Proceedings of the 2004 ACL Workshop on Discourse Annotation
Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger
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NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
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NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
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Natural Language Engineering
Combining contextual and structural information for supersense tagging of chinese unknown words
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Recall-oriented learning of named entities in Arabic Wikipedia
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
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"Lightweight" semantic annotation of text calls for a simple representation, ideally without requiring a semantic lexicon to achieve good coverage in the language and domain. In this paper, we repurpose WordNet's supersense tags for annotation, developing specific guidelines for nominal expressions and applying them to Arabic Wikipedia articles in four topical domains. The resulting corpus has high coverage and was completed quickly with reasonable inter-annotator agreement.