package edu.stanford.nlp.pipeline; import edu.stanford.nlp.util.StringUtils; import java.util.HashMap; import java.util.Properties; import java.util.Set; public class KBPAnnotatorChineseBenchmarkSlowITest extends KBPAnnotatorBenchmark { @Override public void setUp() { // set the English specific settings KBP_DOCS_DIR = "/scr/nlp/data/kbp-benchmark/chinese/kbp-docs-chinese"; GOLD_RELATIONS_PATH = "/scr/nlp/data/kbp-benchmark/chinese/kbp-gold-relations-chinese.txt"; KBP_MINIMUM_SCORE = .290; // load the gold relations from gold relations file loadGoldData(); // set up the pipeline Properties props = StringUtils.argsToProperties("-props", "StanfordCoreNLP-chinese.properties"); props.put("annotators", "tokenize,ssplit,pos,lemma,ner,regexner,parse,mention,entitymentions,coref,kbp"); pipeline = new StanfordCoreNLP(props); } }