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============================ README: ucca package ============================ UCCA is a novel linguistic framework for semantic annotation, whose details are available at the following paper: Universal Conceptual Cognitive Annotation (UCCA) Omri Abend and Ari Rappoport, ACL 2013 http://homepages.inf.ed.ac.uk/oabend/papers/ucca_acl.pdf This Python3-only package provides an API to the UCCA annotation and tools to manipulate and process it. It's main features are conversion between different representations of UCCA annotations, and rich objects for all of the linguistic relations which appear in the theoretical framework (see core, layer0, layer1 and convert modules). Installation (on Linux): make dev-install # creates soft links to the current files make full-install # copies the package to the user's python search path run 'make help' for details List of Modules ============== 1. classify -- provides interface to sklearn, mlpy and numpy which enable training and evaluation of binary classifications related to UCCA 2. collins -- provides objects and parsing of Collins dictionary format 3. convert -- provides functions to convert between the UCCA objects (pythonic) to site annotation XML, standard XML representation and text 4. core -- provides the basic objects of UCCA relations: Node, Edge, Layer and Passage, which are the basic items to work with 5. features -- provides feature extraction from raw text 6. layer0 -- provides the text layer (layer 0) objects: Layer0 and Terminal 7. layer1 -- provides the foundational layer objects: Layer1, FoundationalNode, PunctNode and Linkage 8. lex -- provides lexical utilities 9. postags -- provides basic POS tags 10. scenes -- provides utilities to extract and classify scenes and scene heads 11. token_eval -- provides utilities to evaluate token classification 12. util -- provides break2sentences (of a passage, based on annotation) 13. wikt -- provides wiktionary-related functionality In addition, a scripts and tests packages are present, enabling unit-testing. Author ------ Amit Beka: [email protected] License ------- This package is licensed under the GPLv3 or later license (see LICENSE.txt).
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