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Now, selrestrs are, instead of logically being a tree of
positive/negative restrictions that are ANDed/ORed together, they are a
flat set of positive restrictions that are ORed together. They are
stored as strings in a table called selrestrs, just like synrestrs,
which makes them a lot more queryable now as well. This change required
some changes to the VerbNet data, because we needed to consolidate any
ANDed clauses into single selrestrs, as well as convert any negative
selrestrs into positive ones. The changes made are detailed on the wiki.
Preposition choices are now encoded as comma-separated lists instead of
using JSON. This change, along with the selrestrs one, allows us to
remove verbly's dependency on nlohmann::json.
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The new object structure was designed to build on the existing WordNet
structure, while also adding in all of the data that we get from other sources.
More information about this can be found on the project wiki.
The generator has already been completely rewritten to generate a
datafile that uses the new structure. In addition, a number of indexes
are created, which does double the size of the datafile, but also allows
for much faster lookups. Finally, the new generator is written modularly
and is a lot more readable than the old one.
The verbly interface to the new object structure has mostly been
completed, but has not been tested fully. There is a completely new
search API which utilizes a lot of operator overloading; documentation
on how to use it should go up at some point.
Token processing and verb frames are currently unimplemented. Source for
these have been left in the repository for now.
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In addition:
- Added prepositions.
- Rewrote a lot of the query interface. It now, for a lot of relationships, supports nested AND, OR, and NOT logic.
- Rewrote the token class. It is now a union-like class instead of being polymorphic, which means smart pointers are no longer necessary.
- Querying with regards to word derivation has been temporarily removed.
- Sentinel values are now supported for all word types.
- The VerbNet data retrieved from http://verbs.colorado.edu/~mpalmer/projects/verbnet/downloads.html was found to not be perfectly satisfactory in some regards, especially regarding adjective phrases. A patch file is now included in the repository describing the changes made to the VerbNet v3.2 download for the canonical verbly datafile.
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verbly into its own directory
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