| Package | Description |
|---|---|
| com.hankcs.hanlp.model.crf | |
| com.hankcs.hanlp.model.perceptron |
感知机在线学习算法的线性序列标注模型。基于这套框架实现了一整套分词、词性标注和命名实体识别功能。
理论参考邓知龙 《基于感知器算法的高效中文分词与词性标注系统设计与实现》,
简介:http://www.hankcs.com/nlp/segment/implementation-of-word-segmentation-device-java-based-on-structured-average-perceptron.html
|
| com.hankcs.hanlp.model.perceptron.instance | |
| com.hankcs.hanlp.model.perceptron.utility | |
| com.hankcs.hanlp.tokenizer.lexical |
| Modifier and Type | Method and Description |
|---|---|
NERTagSet |
CRFNERecognizer.getNERTagSet() |
| Modifier and Type | Method and Description |
|---|---|
NERTagSet |
PerceptronNERecognizer.getNERTagSet() |
| Constructor and Description |
|---|
NERInstance(String[] wordArray,
String[] posArray,
String[] nerArray,
NERTagSet tagSet,
FeatureMap featureMap) |
| Modifier and Type | Method and Description |
|---|---|
static List<String[]> |
Utility.convertSentenceToNER(Sentence sentence,
NERTagSet tagSet) |
| Modifier and Type | Method and Description |
|---|---|
NERTagSet |
NERecognizer.getNERTagSet() |
NERTagSet |
AbstractLexicalAnalyzer.getNERTagSet() |
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