This release includes a new dependency parser model, a QUAC model, and a new NLI model, as well as many bugfixes and small improvements.
4920249 bump version number to v0.6.1
ec2d5a1 skip moto tests, unpin dependencies (#1697)
863ded8 Add option to keep sentence boundaries in Elmo (#1695)
e027478 Upgrade Flask to 0.12.4 (fixes bug) (#1694)
335d899 Make SpanBasedF1Measure support BMES (#1692)
d16f6c0 Add a default predictor for biaffine-parser. (#1677)
4b6f8d1 Remove inplace modification in Covariance (#1691)
a0506a7 remove print statement (#1690)
89729e0 Add BMES constrain to is_transition_allowed function (#1688)
3df54c8 Removing last_dim_*softmax (#1687)
d1f6748 minor memory improvements in _joint_likelihood() of ConditionalRandomField with advanced indexing (#1686)
2a45f44 Add Covariance and PearsonCorrelation metrics (#1684)
1b31320 Add MeanAbsoluteError metric (#1683)
e9710c8 Fix links in docs and improve check_links.py (#1680)
cbeef92 Predictor for QUAC models (#1674)
279f325 SQL semantic parser entity improvements (#1658)
45e6a0f pin boto3 + awscli (#1671)
fcdbbd3 require Python 3.6.1 (#1667)
5a305e3 improve API, update tests (#1664)
6c7c807 Adding decoder to bimpm and improve demo server. (#1665)
9caac66 Fix lazy dataset reader bug in ModelTestCase (#1668)
0b3ebcf Reading comprehension model for QUAC dataset (#1625)
994b996 Make CrfTagger work with non-BIO tagging tasks (#1661)
c31d5f9 Fix conll2000 data reading (#1657)
abfb32d Refactoring how actions are handled in the semantic parsing code (#1294)
75abebb Standardize tagging datasets (#1656)
362060a add back sniff test for parser (#1654)
5e13d24 Fix Conll2003 reader docs to reflect true label namespace names (#1655)
fea0d0a Upgrade flask to avoid security vulnerability. (#1653)
d27770a Make replace_masked_values more efficient by using masked_fill (#1651)
4ade6e4 Fix module docstring for training.learning_rate_schedulers (#1649)
301f2d6 Implement cosine with restarts (#1647)
681a9cf make pos selection an option in dataset reader, use in predictor (#1648)
bca6c2a make max_vocab_size default to None for a given namespace in Vocabulary._extend (#1643)
1d43188 Add learning rate to logs (#1641)
b70e026 Make LinearAttention and LinearMatrixAttention memory-efficient (#1632)
be76b5c Add missing --recover flag to train docs (#1640)
2e47ac4 typing is part of standard library from python3.6 (gives errors on python3.7) (#1638)
4df4638 Data reader for QUAC (#1624)
bf75c9b Allow configurable label namespaces (#1621)
4c6731b Pip install the library in editable mode (-e) (#1592)
14aee14 fix calculation of estimated time remaining (#1631)
8c89b08 Parser decoding fix 2 (#1619)
7a9975e Fix bimpm config file for names num_perspective(s). (#1627)
0a5aea7 atis dataset reader (#1577)
659bf25 Allow files to be downloaded from S3 (#1620)
76a65a8 BiMPM model (#1594)
58119c0 make fine-tune not expand vocabulary by default (#1623)
3107a0c Don't error if fine-tune serialization dir already exists (#1622)
82686c1 Add IOB1 as allowed CRF constraint (#1615)
59132d2 Avoid divide by zero in CategoricalAccuracy (#1617)