Tagging #50
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Tagging #50
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Owner
zseder
commented
Mar 24, 2015
zseder
commented
- input is in one-word-per-line format, output is the same, with tags
- lot of changes around generators in order not to read the whole corpus into memory
- eval and tagger now separated
- floatX instead of simple float for embedding reading to be compatible with gpus
- resetting Fscore computation when get_score is called
added 13 commits
March 20, 2015 16:45
and added precision
modified: hunvec/datasets/word_tagger_dataset.py yield data sentence by sentence instead of reading into memory if not needed (useful for tagging; for training, we need all sentences)
modified: hunvec/datasets/word_tagger_dataset.py no need for reading everything into memory, dataset will contain data
for tagging
Conflicts: hunvec/seqtag/tagger.py
modified: hunvec/seqtag/sequence_tagger.py modified: hunvec/seqtag/tagger.py tagging preparation should have been done transparently
modified: hunvec/datasets/word_tagger_dataset.py modified: hunvec/seqtag/sequence_tagger.py modified: hunvec/seqtag/tagger.py modified: hunvec/utils/fscore.py one step closer: WordTaggerDataset is prepared for converting corpus sentence by sentence
modified: hunvec/seqtag/sequence_tagger.py modified: hunvec/seqtag/tagger.py tagging is now working for the first time tag_seq generator had to be removed, tagging sentence by sentence is introduced instead, but everybody is happy now
bugfix with self.A
float32 vectors from embeddings
theano floatX
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