lu161513

Results 5 issues of lu161513

目前的NER是基于词的,BIO标注的每个字 那么我可以修改训练集应用到句子嘛,我想区分,开始句字,中间句子,结尾句子 是不是修改训练集 句子1 O 句子2 O 句子3 O 句子4 B-AA 句子5 I-AA ... 这样然后重新训练就可以了

就是一句话中中文为主,夹杂着英文,然后做Ner,支持这样用吗,之前用的是bert的multilanguage模型

**Describe the bug** here is my client code: ` def get_data(host, port, database, user, password): settings = {'max_execution_time': 3000} click_client = Client(host=host, port=port, database=database, user=user, password=password, send_receive_timeout=2000000, connect_timeout=200000,sync_request_timeout=200000,settings=settings) data, columns...

按照示例中我们有的是三维的: `[n_seqs, n_sequencd_length, lstm_num_units]` 现在要变成二维的: `[n_seqs * n_sequencd_length, lstm_num_units]` 是不是应该在第0维度上进行拼接?axis=0而不是axis=1? 比如我有下面的数据: `t1 = [ [[0,1],[2,3],[3,4],[4,5]], [[5,6],[6,7],[7,8],[8,9]], [[9,10],[10,11],[11,12],[12,13]] ] t2=tf.concat(t1,axis=0) with tf.Session() as sess: sess.run(tf.global_variables_initializer()) print(sess.run(t2)) # t2是[[ 0 1] [...

2018-10-19 11:41:31 [scrapy.middleware] INFO: Enabled extensions: ['scrapy.extensions.corestats.CoreStats', 'scrapy.extensions.telnet.TelnetConsole', 'scrapy.extensions.memusage.MemoryUsage', 'scrapy.extensions.logstats.LogStats'] 2018-10-19 11:41:31 [scrapy.middleware] INFO: Enabled downloader middlewares: ['scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware', 'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware', 'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware', 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware', 'scrapy.downloadermiddlewares.retry.RetryMiddleware', 'scrapy.downloadermiddlewares.redirect.MetaRefreshMiddleware', 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware', 'scrapy.downloadermiddlewares.redirect.RedirectMiddleware', 'scrapy.downloadermiddlewares.cookies.CookiesMiddleware', 'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware', 'scrapy.downloadermiddlewares.stats.DownloaderStats'] 2018-10-19 11:41:31...