in opennlp-tools/src/main/java/opennlp/tools/formats/EvalitaNameSampleStream.java [111:210]
public NameSample read() throws IOException {
List<String> sentence = new ArrayList<>();
List<String> tags = new ArrayList<>();
boolean isClearAdaptiveData = false;
// Empty line indicates end of sentence
String line;
while ((line = lineStream.read()) != null && !StringUtil.isEmpty(line)) {
if (line.startsWith(DOCSTART)) {
isClearAdaptiveData = true;
String emptyLine = lineStream.read();
if (!StringUtil.isEmpty(emptyLine))
throw new IOException("Empty line after -DOCSTART- not empty: '" + emptyLine + "'!");
continue;
}
String[] fields = line.split(" ");
// For Italian: WORD POS-TAG SC-TAG NE-TAG
if (LANGUAGE.IT.equals(lang) && fields.length == 4) {
sentence.add(fields[0]);
tags.add(fields[3]); // 3 is NE-TAG
}
else {
throw new IOException("Incorrect number of fields per line for language: '" + line + "'!");
}
}
// Always clear adaptive data for Italian
if (LANGUAGE.IT.equals(lang))
isClearAdaptiveData = true;
if (!sentence.isEmpty()) {
// convert name tags into spans
List<Span> names = new ArrayList<>();
int beginIndex = -1;
int endIndex = -1;
for (int i = 0; i < tags.size(); i++) {
String tag = tags.get(i);
if (tag.endsWith(ENT_TYPE_PER) && (types & GENERATE_PERSON_ENTITIES) == 0)
tag = CODEC_TAG_O;
if (tag.endsWith(ENT_TYPE_ORG) && (types & GENERATE_ORGANIZATION_ENTITIES) == 0)
tag = CODEC_TAG_O;
if (tag.endsWith(ENT_TYPE_LOC) && (types & GENERATE_LOCATION_ENTITIES) == 0)
tag = CODEC_TAG_O;
if (tag.endsWith(ENT_TYPE_GPE) && (types & GENERATE_GPE_ENTITIES) == 0)
tag = CODEC_TAG_O;
if (tag.startsWith(CODEC_TAG_B)) {
if (beginIndex != -1) {
names.add(extract(beginIndex, endIndex, tags.get(beginIndex)));
}
beginIndex = i;
endIndex = i + 1;
}
else if (tag.startsWith(CODEC_TAG_I)) {
endIndex++;
}
else if (tag.equals(CODEC_TAG_O)) {
if (beginIndex != -1) {
names.add(extract(beginIndex, endIndex, tags.get(beginIndex)));
beginIndex = -1;
endIndex = -1;
}
}
else {
throw new IOException("Invalid tag: " + tag);
}
}
// if one span remains, create it here
if (beginIndex != -1)
names.add(extract(beginIndex, endIndex, tags.get(beginIndex)));
return new NameSample(sentence.toArray(new String[0]),
names.toArray(new Span[0]), isClearAdaptiveData);
}
else if (line != null) {
// Just filter out empty events, if two lines in a row are empty
return read();
}
else {
// source stream is not returning anymore lines
return null;
}
}