blob: 614ae52834622c3742635da1dbf58e846a69a37b [file] [log] [blame]
// Lucene version compatibility level 8.2.0
using opennlp.tools.namefind;
using opennlp.tools.util;
namespace Lucene.Net.Analysis.OpenNlp.Tools
{
/*
* 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.
*/
/// <summary>
/// Supply OpenNLP Named Entity Resolution tool
/// Requires binary models from OpenNLP project on SourceForge.
/// <para/>
/// Usage: from <a href="http://opennlp.apache.org/docs/1.8.3/manual/opennlp.html#tools.namefind.recognition.api">
/// the OpenNLP documentation</a>:
/// <para/>
/// "The NameFinderME class is not thread safe, it must only be called from one thread.
/// To use multiple threads multiple NameFinderME instances sharing the same model instance
/// can be created. The input text should be segmented into documents, sentences and tokens.
/// To perform entity detection an application calls the find method for every sentence in
/// the document. After every document clearAdaptiveData must be called to clear the adaptive
/// data in the feature generators. Not calling clearAdaptiveData can lead to a sharp drop
/// in the detection rate after a few documents."
/// </summary>
public class NLPNERTaggerOp
{
private readonly TokenNameFinder nameFinder;
public NLPNERTaggerOp(TokenNameFinderModel model)
{
this.nameFinder = new NameFinderME(model);
}
public virtual Span[] GetNames(string[] words)
{
Span[] names = nameFinder.find(words);
return names;
}
public virtual void Reset()
{
lock (this)
{
nameFinder.clearAdaptiveData();
}
}
}
}