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COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
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Natural Language Engineering
New features for FrameNet: WordNet mapping
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
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HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
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Natural Language Engineering
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HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
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CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
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COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
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Computational Linguistics
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This paper will focus on recent and near-term future developments at FrameNet (FN) and the interoperability issues they raise. We begin by discussing the current state of the Berkeley FN database including major changes in the data format for the latest data release. We then briefly review two recent local projects, "Rapid Vanguarding", which has created a new interface for the frame and lexical unit definition process based on the Word Sketch Engine of Kilgarriff et al. (2004), and "Beyond the Core", which has developed tools for annotating constructions, and created a sample "construction" of especially "interesting" constructions which are neither simply lexical nor easy for the standard parsers to parse. We also cover two current collaborations, FN's part in the development of the manually annotated subcorpus of the American National Corpus, and a pilot study on aligning WordNet and FrameNet, to exploit the complementary strengths of these quite different resources. We discuss FN-related research on Spanish, Japanese, German (SALSA), Chinese and other languages, and the language-independence of frames, along with interesting FN-related work by others, and a sketch of a large group of image-schematic frames which are now being added to FN. We close with some ideas about how FrameNet can be opened up, to allow broader participation in the development process without losing precision and coherence, including a small-scale study on acquiring data for FN using Amazon's Mechanical Turk crowd-sourcing system.