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Structured Sentiment Analysis as Dependency Graph Parsing ...
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Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation ...
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Open SDP 1.2
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Abstract:
The original SDP 2014 and 2015 data collections were made available under task-specific ‘evaluation’ licenses to registered SemEval participants. In mid-2016, all original data has been bundled with system submissions, supporting software, an additional SDP-style collection of semantic dependency graphs, and additional background material (from which some of the SDP target representations were derived) for release through the Linguistic Data Consortium (with LDC catalogue number LDC2016 T10). One of the four English target representations (viz. DM) and the entire Czech data (in the PSD target representation) are not derivative of LDC-licensed annotations and, thus, can be made available for direct download (Open SDP; version 1.2; January 2017) under a more permissive licensing scheme, viz. the Creative Common Attribution-NonCommercial-ShareAlike license. This package also includes some ‘richer’ meaning representations from which the English bi-lexical DM graphs derive, viz. scope-underspecified logical forms and more abstract, non-lexicalized ‘semantic networks’. The latter of these are formally (if not linguistically) similar to Abstract Meaning Representation (AMR) and are available in a range of serializations, including in AMR-like syntax. Version 1.1 was released April 2016. Version 1.2 adds the 2015 Turku system, which was accidentally left out from version 1.1. Please use the following bibliographic reference for the SDP 2016 data: @string{C:LREC = {{I}nternational {C}onference on {L}anguage {R}esources and {E}valuation}} @string{LREC:16 = {Proceedings of the 10th } # C:LREC} @string{L:LREC:16 = {Portoro\v{z}, Slovenia}} @inproceedings{Oep:Kuh:Miy:16, author = {Oepen, Stephan and Kuhlmann, Marco and Miyao, Yusuke and Zeman, Daniel and Cinkov{'a}, Silvie and Flickinger, Dan and Haji\v{c}, Jan and Ivanova, Angelina and Ure\v{s}ov{'a}, Zde\v{n}ka}, title = {Towards Comparability of Linguistic Graph Banks for Semantic Parsing}, booktitle = LREC:16 year = 2016, address = L:LREC:16, pages = {3991--3995} }
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Keyword:
parsing; semantic dependency
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URL: http://hdl.handle.net/11234/1-1956
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SDP 2014 & 2015: Broad Coverage Semantic Dependency Parsing ...
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Combining statistical machine translation and translation memories with domain adaptation
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In: Läubli, Samuel; Fishel, Mark; Volk, Martin; Weibel, Manuela (2013). Combining statistical machine translation and translation memories with domain adaptation. In: NODALIDA 2013, Nordic Conference of Computational Linguistics, Oslo, Norway, 22 May 2013 - 24 May 2013, 331-341. (2013)
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Bootstrapping an Unsupervised Approach for Classifying Agreement and Disagreement
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