[opennlp-sandbox] branch relex created (now b5f228f)

[jo...@apache.org]

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      at b5f228f  Add first draft of relex

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     new b5f228f  Add first draft of relex

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[opennlp-sandbox] 01/01: Add first draft of relex

[jo...@apache.org]

This is an automated email from the ASF dual-hosted git repository.

joern pushed a commit to branch relex
in repository https://gitbox.apache.org/repos/asf/opennlp-sandbox.git

commit b5f228f20c50e183af9f9bf2f11c6f8c486f7d26
Author: Jörn Kottmann <jo...@apache.org>
AuthorDate: Wed Jul 4 12:24:30 2018 +0200

    Add first draft of relex
---
 .../org/apache/opennlp/relex/EntityMention.java    | 24 +++++++++++++++
 .../java/org/apache/opennlp/relex/Relation.java    | 14 +++++++++
 .../apache/opennlp/relex/RelationExtractor.java    | 12 ++++++++
 tf-ner-poc/src/main/python/relex/relex.py          | 35 ++++++++++++++++++++++
 4 files changed, 85 insertions(+)

diff --git a/tf-ner-poc/src/main/java/org/apache/opennlp/relex/EntityMention.java b/tf-ner-poc/src/main/java/org/apache/opennlp/relex/EntityMention.java
new file mode 100644
index 0000000..fdc2d94
--- /dev/null
+++ b/tf-ner-poc/src/main/java/org/apache/opennlp/relex/EntityMention.java
@@ -0,0 +1,24 @@
+package org.apache.opennlp.relex;
+
+import java.util.Objects;
+
+import opennlp.tools.parser.Parse;
+
+public class EntityMention {
+
+  private final Parse parse;
+  private final int entityId;
+
+  public EntityMention(Parse parse, int entityId) {
+    this.parse = Objects.requireNonNull(parse);
+    this.entityId = entityId;
+  }
+
+  public Parse getParse() {
+    return parse;
+  }
+
+  public int getEntityId() {
+    return entityId;
+  }
+}
diff --git a/tf-ner-poc/src/main/java/org/apache/opennlp/relex/Relation.java b/tf-ner-poc/src/main/java/org/apache/opennlp/relex/Relation.java
new file mode 100644
index 0000000..68602ec
--- /dev/null
+++ b/tf-ner-poc/src/main/java/org/apache/opennlp/relex/Relation.java
@@ -0,0 +1,14 @@
+package org.apache.opennlp.relex;
+
+public class Relation {
+
+  private final int subject;
+  private final String predicate;
+  private final int object;
+
+  public Relation(int subject, String predicate, int object) {
+    this.subject = subject;
+    this.predicate = predicate;
+    this.object = object;
+  }
+}
diff --git a/tf-ner-poc/src/main/java/org/apache/opennlp/relex/RelationExtractor.java b/tf-ner-poc/src/main/java/org/apache/opennlp/relex/RelationExtractor.java
new file mode 100644
index 0000000..c371d3c
--- /dev/null
+++ b/tf-ner-poc/src/main/java/org/apache/opennlp/relex/RelationExtractor.java
@@ -0,0 +1,12 @@
+package org.apache.opennlp.relex;
+
+public class RelationExtractor {
+
+  // TODO: This type of interface would limit the extractor to look
+  //       only at sentences that contains entities.
+  //       This is borrowed from the old coref component.
+
+  public Relation[] extract(EntityMention[] mentions) {
+    return null;
+  }
+}
diff --git a/tf-ner-poc/src/main/python/relex/relex.py b/tf-ner-poc/src/main/python/relex/relex.py
new file mode 100644
index 0000000..62ca965
--- /dev/null
+++ b/tf-ner-poc/src/main/python/relex/relex.py
@@ -0,0 +1,35 @@
+#
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing,
+#  software distributed under the License is distributed on an
+#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+#  KIND, either express or implied.  See the License for the
+#  specific language governing permissions and limitations
+#  under the License.
+#
+
+import tensorflow as tf
+
+
+# load_date
+# which format ??? we could write some java tool to extract data from brat corpus
+# and export it into a format that can be used easier to train the tool
+
+
+def main():
+    pass
+
+def create_graph():
+    pass
+
+if __name__ == "__main__":
+    main()