songrb/deepdivechineseapps

DeepDive Tutorial with Chinese Support

deepdivechineseapps's Issues

Downloading error!!

During the sbt/sbt stage i get [error] Server access Error: 连接超时 (Connection timed out) url=http://repo.typesafe.com/typesafe/releases/org/scalaz/stream/scalaz-stream_2.10/0.7a/scalaz-stream_2.10-0.7a.jar. I tried many times! any idea how to fix? or how to intall it manually?

运行run.sh报错

当我配置好环境，下载完斯坦福的两个工具包，重新运行stb/stb stage编译完项目之后，开始执行./run.sh -p 8080命令，但是程序报错了。看起来不像是因为我的环境问题，似乎更像是源码的错误。但是我并不擅长于scala语言，能否给我一点修改的意见，应该怎样做才能正常运行程序呢？非常感谢。

Parsing with max_len=1000
17:21:25.733 [main] INFO e.s.nlp.pipeline.StanfordCoreNLP - Registering annotator segment with class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
17:21:25.761 [main] INFO e.s.nlp.pipeline.StanfordCoreNLP - Adding annotator segment
17:21:37.766 [main] INFO e.s.n.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/segmenter/chinese/ctb.gz ... done [11.9 sec].
17:21:37.768 [main] INFO e.s.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit

Exception in thread "main" java.lang.IllegalArgumentException: annotator "ssplit" requires annotation "IsNewlineAnnotation". The usual requirements for this annotator are: tokenize
at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:504)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:201)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:194)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:181)
at com.clearcut.nlp.DocumentParser.(DocumentParser.scala:15)
at com.clearcut.nlp.Main$delayedInit$body.apply(Main.scala:79)
at scala.Function0$class.apply$mcV$sp(Function0.scala:40)
at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
at scala.App$$anonfun$main$1.apply(App.scala:71)
at scala.App$$anonfun$main$1.apply(App.scala:71)
at scala.collection.immutable.List.foreach(List.scala:318)
at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:32)
at scala.App$class.main(App.scala:71)
at com.clearcut.nlp.Main$.main(Main.scala:10)
at com.clearcut.nlp.Main.main(Main.scala)