classifier = CRFClassifier.getJarClassifier("/edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz", null)

def getLocationValues(filePath: String, pStr: String): String = {
        val str: String = classifier.classifyWithInlineXML(pStr).toString
        val person: HashSet[String] = new HashSet[String]
        val location: HashSet[String] = new HashSet[String]
        val organization: HashSet[String] = new HashSet[String]
        val time: HashSet[String] = new HashSet[String]
        val date: HashSet[String] = new HashSet[String]
        val rs: Map[String, AnyRef] = new HashMap[String, AnyRef]
        val locMatcher: Matcher = locationPattern.matcher(str)
        val personMatcher: Matcher = personPattern.matcher(str)
        val orgMatcher: Matcher = orgPattern.matcher(str)
        val timeMatcher: Matcher = timePattern.matcher(str)
        val dateMatcher: Matcher = datePattern.matcher(str)
    }

我正在使用这个分类器，如果我想要一些其他的模式匹配，如数量，速度（滞后，慢，快），可用性（东使用，等等）这是可能的吗？