Liu Zhihui

How's your model's performance on SemEval 2010 Task 8?

4

Hi, have you tried your model on SemEval 2010 Task 8? I ran it, but the test accuracy is only 16.79%.

In `transform_roc`, why do we need `xmb[:, :, :, 1] `?

3

``` def transform_roc(X1, X2, X3): n_batch = len(X1) xmb = np.zeros((n_batch, 2, n_ctx, 2), dtype=np.int32) mmb = np.zeros((n_batch, 2, n_ctx), dtype=np.float32) start = encoder['_start_'] delimiter = encoder['_delimiter_'] for i, (x1,...

运行jar包时提示：java.io.FileNotFoundException: nullsampledata/movies.csv

4

`$ java -jar SparrowRecSys-1.0-SNAPSHOT-jar-with-dependencies.jar ` log4j:WARN No appenders could be found for logger (org.eclipse.jetty.util.log). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info. webRootLocation.toURI().toASCIIString(): jar:file:/mnt/e/work/SparrowRecSys/target/SparrowRecSys-1.0-SNAPSHOT-jar-with-dependencies.jar!/webroot/index.html Web...

Question about the shape of `X_train`

1

`X_train = tf.placeholder(tf.int32, [n_batch_train, 2, n_ctx, 2])` `xmb[:, :, :, 1] = np.arange(n_vocab+n_special, n_vocab+n_special+n_ctx)` why there is a channel of additional tokens?

用你的配置训练的bert纠错模型，用你的评测脚本： ``` Sentence Level: acc:0.793636, precision:0.828810, recall:0.732472, f1:0.777669 ``` 使用realise模型的评测脚本： ``` {'sent-detect-acc': 82.18181818181817, 'sent-detect-p': 72.86689419795222, 'sent-detect-r': 78.9279112754159, 'sent-detect-f1': 75.77639751552793, 'sent-correct-acc': 79.9090909090909, 'sent-correct-p': 68.60068259385666, 'sent-correct-r': 74.3068391866913, 'sent-correct-f1': 71.33984028393967} ``` 你只在src ==...