Comments (1)
You can see the code that detects the passive voice here:
https://github.com/davidsbatista/BREDS/blob/master/breds/reverb.py#L277
It's a bit messy and I plant to change it so it uses the NLTK's RegexpParser, instead of long list of regexes and if statements, like I did here:
http://www.davidsbatista.net/blog/2017/05/08/ReVerb/
The before and after words remain the same, it's only the relationship that changes directions, see examples in the paper.
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Related Issues (19)
- Feature Extraction HOT 3
- Questions about usage of negative seeds HOT 1
- pattern2vector_sum function in tuple.py retrieving character word vector HOT 1
- Clarification of pattern.py line 18 HOT 2
- self.config.min_pattern_support in breds_parallel.py clarification HOT 1
- Missing requirements.txt HOT 1
- No negative seed update HOT 1
- Paralellize instance gathering and pattern scoring HOT 1
- If new tuples are found, do i need to tag the new entities in the document collection? HOT 3
- Commands to replicate F1-score of BREDS HOT 3
- Clarification regarding Automatic-Evaluation HOT 1
- Data request HOT 1
- How do I place the downloaded Word2VEc model?
- Calculating tuples confidence HOT 1
- Missing requirements.txt file HOT 1
- Several errors when running /automatic-evaluation/large-scale-evaluation-freebase.py HOT 1
- the system is not working with tags other than "LOC", "ORG" and "PER" HOT 6
- Possible error in selectivity calculation HOT 1
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from breds.