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stanford-oval / thingtalk / 418 / 1
78%
master: 78%

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DEFAULT BRANCH: master
Ran 19 Jun 2019 06:52PM UTC
Files 49
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19 Jun 2019 06:47PM UTC coverage: 82.081% (-0.01%) from 82.094%
418.1

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gcampax
Introduce unresolved locations

Currently, locations are preprocessed and resolved (mapped to a concrete
point on Earth) by the tokenizer. This is not great, because it
relies on CoreNLP's NER for locations (which has poor quality and is
inefficient to run), and because ambiguous locations cannot be resolved
by the user.

Instead, we can treat locations in manner similar to entities:
copy the tokens from the input into the program, and defer entity
linking to the dialog agent during slot filling.
Among other things, this will also enable personalized location
databases.

3213 of 4097 branches covered (78.42%)

Branch coverage included in aggregate %.

5655 of 6707 relevant lines covered (84.31%)

125.29 hits per line

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