SLING: A framework for frame semantic parsing
October 19, 2017 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Michael Ringgaard, Rahul Gupta, Fernando C. N. Pereira
arXiv ID
1710.07032
Category
cs.CL: Computation & Language
Citations
54
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We describe SLING, a framework for parsing natural language into semantic frames. SLING supports general transition-based, neural-network parsing with bidirectional LSTM input encoding and a Transition Based Recurrent Unit (TBRU) for output decoding. The parsing model is trained end-to-end using only the text tokens as input. The transition system has been designed to output frame graphs directly without any intervening symbolic representation. The SLING framework includes an efficient and scalable frame store implementation as well as a neural network JIT compiler for fast inference during parsing. SLING is implemented in C++ and it is available for download on GitHub.
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