/**
* Parse the parameters of a connection into a CoreNLP properties file that can be passed into
* {@link StanfordCoreNLP}, and used in the I/O stages.
*
* @param httpExchange The http exchange; effectively, the request information.
* @return A {@link Properties} object corresponding to a combination of default and passed
* properties.
* @throws UnsupportedEncodingException Thrown if we could not decode the key/value pairs with
* UTF-8.
*/
private Properties getProperties(HttpExchange httpExchange)
throws UnsupportedEncodingException {
// Load the default properties
Properties props = new Properties();
defaultProps
.entrySet()
.stream()
.forEach(
entry -> props.setProperty(entry.getKey().toString(), entry.getValue().toString()));
// Try to get more properties from query string.
Map<String, String> urlParams = getURLParams(httpExchange.getRequestURI());
if (urlParams.containsKey("properties")) {
StringUtils.decodeMap(URLDecoder.decode(urlParams.get("properties"), "UTF-8"))
.entrySet()
.forEach(entry -> props.setProperty(entry.getKey(), entry.getValue()));
} else if (urlParams.containsKey("props")) {
StringUtils.decodeMap(URLDecoder.decode(urlParams.get("properties"), "UTF-8"))
.entrySet()
.forEach(entry -> props.setProperty(entry.getKey(), entry.getValue()));
}
// Make sure the properties compile
props.setProperty(
"annotators",
StanfordCoreNLP.ensurePrerequisiteAnnotators(
props.getProperty("annotators").split("[, \t]+")));
return props;
}
public XBarGrammarProjection(BinaryGrammar bg, UnaryGrammar ug) {
Map<BinaryRule, BinaryRule> binaryRules = new HashMap<BinaryRule, BinaryRule>();
Map<UnaryRule, UnaryRule> unaryRules = new HashMap<UnaryRule, UnaryRule>();
sourceUG = ug;
sourceBG = bg;
sourceNumberer = Numberer.getGlobalNumberer(bg.stateSpace());
targetNumberer = Numberer.getGlobalNumberer(bg.stateSpace() + "-xbar");
projection = new int[sourceNumberer.total()];
scanStates(sourceNumberer, targetNumberer);
targetBG = new BinaryGrammar(targetNumberer.total(), bg.stateSpace() + "-xbar");
targetUG = new UnaryGrammar(targetNumberer.total());
for (Iterator<BinaryRule> brI = bg.iterator(); brI.hasNext(); ) {
BinaryRule rule = projectBinaryRule(brI.next());
Rule old = binaryRules.get(rule);
if (old == null || rule.score > old.score) {
binaryRules.put(rule, rule);
}
}
for (BinaryRule br : binaryRules.keySet()) {
targetBG.addRule(br);
// System.out.println("BR: "+targetNumberer.object(br.parent)+" ->
// "+targetNumberer.object(br.leftChild)+" "+targetNumberer.object(br.rightChild)+" %%
// "+br.score);
}
targetBG.splitRules();
for (int parent = 0; parent < sourceNumberer.total(); parent++) {
for (Iterator<UnaryRule> urI = ug.ruleIteratorByParent(parent); urI.hasNext(); ) {
UnaryRule sourceRule = urI.next();
UnaryRule rule = projectUnaryRule(sourceRule);
Rule old = unaryRules.get(rule);
if (old == null || rule.score > old.score) {
unaryRules.put(rule, rule);
}
/*
if (((UnaryRule)rule).child == targetNumberer.number("PRP") &&
((String)sourceNumberer.object(rule.parent)).charAt(0) == 'N') {
System.out.println("Source UR: "+sourceRule+" %% "+sourceRule.score);
System.out.println("Score of "+rule+"is now: "+((UnaryRule)unaryRules.get(rule)).score);
}
*/
}
}
for (UnaryRule ur : unaryRules.keySet()) {
targetUG.addRule(ur);
// System.out.println("UR: "+targetNumberer.object(ur.parent)+" ->
// "+targetNumberer.object(ur.child)+" %% "+ur.score);
}
targetUG.purgeRules();
System.out.println(
"Projected "
+ sourceNumberer.total()
+ " states to "
+ targetNumberer.total()
+ " states.");
}
public static final String doCorefResolution(Annotation annotation) {
Map<Integer, CorefChain> corefs = annotation.get(CorefChainAnnotation.class);
List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class);
List<String> resolved = new ArrayList<String>();
for (CoreMap sentence : sentences) {
List<CoreLabel> tokens = sentence.get(CoreAnnotations.TokensAnnotation.class);
for (CoreLabel token : tokens) {
Integer corefClustId = token.get(CorefCoreAnnotations.CorefClusterIdAnnotation.class);
CorefChain chain = corefs.get(corefClustId);
if (chain == null) resolved.add(token.word());
else {
int sentINdx = chain.getRepresentativeMention().sentNum - 1;
CoreMap corefSentence = sentences.get(sentINdx);
List<CoreLabel> corefSentenceTokens = corefSentence.get(TokensAnnotation.class);
CorefMention reprMent = chain.getRepresentativeMention();
if (token.index() < reprMent.startIndex || token.index() > reprMent.endIndex) {
for (int i = reprMent.startIndex; i < reprMent.endIndex; i++) {
CoreLabel matchedLabel = corefSentenceTokens.get(i - 1);
resolved.add(matchedLabel.word());
}
} else resolved.add(token.word());
}
}
}
String resolvedStr = "";
System.out.println();
for (String str : resolved) {
resolvedStr += str + " ";
}
System.out.println(resolvedStr);
return resolvedStr;
}
public Object intern(Object o) {
Object i = oToO.get(o);
if (i == null) {
i = o;
oToO.put(o, o);
}
return i;
}
public void addInPlace(SentenceKey key, SentenceStatistics sentenceStatistics) {
for (Map<SentenceKey, EnsembleStatistics> impl : this.impl) {
EnsembleStatistics stats = impl.get(key);
if (stats == null) {
stats = new EnsembleStatistics(new LinkedList<SentenceStatistics>());
impl.put(key, stats);
}
stats.addInPlace(sentenceStatistics);
}
}
protected String historyToString(List history) {
String str = (String) historyToString.get(history);
if (str == null) {
StringBuilder sb = new StringBuilder();
for (int i = 0; i < history.size(); i++) {
sb.append('^');
sb.append(history.get(i));
}
str = sb.toString();
historyToString.put(history, str);
}
return str;
}
public TrainingStatistics merge(TrainingStatistics other) {
Map<SentenceKey, EnsembleStatistics> newStats = new HashMap<>();
// Add elements from this statistics
for (Map<SentenceKey, EnsembleStatistics> map : this.impl) {
for (SentenceKey key : map.keySet()) {
newStats.put(key, new EnsembleStatistics(map.get(key)));
}
}
// Add elements from other statistics
for (Map<SentenceKey, EnsembleStatistics> map : other.impl) {
for (SentenceKey key : map.keySet()) {
EnsembleStatistics existing = newStats.get(key);
if (existing == null) {
existing = new EnsembleStatistics(new LinkedList<SentenceStatistics>());
newStats.put(key, existing);
}
existing.addInPlace(map.get(key));
}
}
// Return
return new TrainingStatistics(Maybe.Just(newStats));
}
public Object formResult() {
Set brs = new HashSet();
Set urs = new HashSet();
// scan each rule / history pair
int ruleCount = 0;
for (Iterator pairI = rulePairs.keySet().iterator(); pairI.hasNext(); ) {
if (ruleCount % 100 == 0) {
System.err.println("Rules multiplied: " + ruleCount);
}
ruleCount++;
Pair rulePair = (Pair) pairI.next();
Rule baseRule = (Rule) rulePair.first;
String baseLabel = (String) ruleToLabel.get(baseRule);
List history = (List) rulePair.second;
double totalProb = 0;
for (int depth = 1; depth <= HISTORY_DEPTH() && depth <= history.size(); depth++) {
List subHistory = history.subList(0, depth);
double c_label = labelPairs.getCount(new Pair(baseLabel, subHistory));
double c_rule = rulePairs.getCount(new Pair(baseRule, subHistory));
// System.out.println("Multiplying out "+baseRule+" with history "+subHistory);
// System.out.println("Count of "+baseLabel+" with "+subHistory+" is "+c_label);
// System.out.println("Count of "+baseRule+" with "+subHistory+" is "+c_rule );
double prob = (1.0 / HISTORY_DEPTH()) * (c_rule) / (c_label);
totalProb += prob;
for (int childDepth = 0; childDepth <= Math.min(HISTORY_DEPTH() - 1, depth); childDepth++) {
Rule rule = specifyRule(baseRule, subHistory, childDepth);
rule.score = (float) Math.log(totalProb);
// System.out.println("Created "+rule+" with score "+rule.score);
if (rule instanceof UnaryRule) {
urs.add(rule);
} else {
brs.add(rule);
}
}
}
}
System.out.println("Total states: " + stateNumberer.total());
BinaryGrammar bg = new BinaryGrammar(stateNumberer.total());
UnaryGrammar ug = new UnaryGrammar(stateNumberer.total());
for (Iterator brI = brs.iterator(); brI.hasNext(); ) {
BinaryRule br = (BinaryRule) brI.next();
bg.addRule(br);
}
for (Iterator urI = urs.iterator(); urI.hasNext(); ) {
UnaryRule ur = (UnaryRule) urI.next();
ug.addRule(ur);
}
return new Pair(ug, bg);
}
@Override
public void handle(HttpExchange httpExchange) throws IOException {
Map<String, String> urlParams = getURLParams(httpExchange.getRequestURI());
httpExchange.getResponseHeaders().set("Content-Type", "text/plain");
boolean doExit = false;
String response = "Invalid shutdown key\n";
if (urlParams.containsKey("key") && urlParams.get("key").equals(shutdownKey)) {
response = "Shutdown successful!\n";
doExit = true;
}
httpExchange.sendResponseHeaders(HTTP_OK, response.getBytes().length);
httpExchange.getResponseBody().write(response.getBytes());
httpExchange.close();
if (doExit) {
System.exit(0);
}
}
@Override
public void handle(HttpExchange httpExchange) throws IOException {
// Set common response headers
httpExchange.getResponseHeaders().add("Access-Control-Allow-Origin", "*");
Future<String> json =
corenlpExecutor.submit(
() -> {
try {
// Get the document
Properties props =
new Properties() {
{
setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,depparse");
}
};
Annotation doc = getDocument(props, httpExchange);
if (!doc.containsKey(CoreAnnotations.SentencesAnnotation.class)) {
StanfordCoreNLP pipeline = mkStanfordCoreNLP(props);
pipeline.annotate(doc);
}
// Construct the matcher
Map<String, String> params = getURLParams(httpExchange.getRequestURI());
// (get the pattern)
if (!params.containsKey("pattern")) {
respondError("Missing required parameter 'pattern'", httpExchange);
return "";
}
String pattern = params.get("pattern");
// (get whether to filter / find)
String filterStr = params.getOrDefault("filter", "false");
final boolean filter =
filterStr.trim().isEmpty()
|| "true".equalsIgnoreCase(filterStr.toLowerCase());
// (create the matcher)
final SemgrexPattern regex = SemgrexPattern.compile(pattern);
// Run TokensRegex
return JSONOutputter.JSONWriter.objectToJSON(
(docWriter) -> {
if (filter) {
// Case: just filter sentences
docWriter.set(
"sentences",
doc.get(CoreAnnotations.SentencesAnnotation.class)
.stream()
.map(
sentence ->
regex
.matcher(
sentence.get(
SemanticGraphCoreAnnotations
.CollapsedCCProcessedDependenciesAnnotation
.class))
.matches())
.collect(Collectors.toList()));
} else {
// Case: find matches
docWriter.set(
"sentences",
doc.get(CoreAnnotations.SentencesAnnotation.class)
.stream()
.map(
sentence ->
(Consumer<JSONOutputter.Writer>)
(JSONOutputter.Writer sentWriter) -> {
SemgrexMatcher matcher =
regex.matcher(
sentence.get(
SemanticGraphCoreAnnotations
.CollapsedCCProcessedDependenciesAnnotation
.class));
int i = 0;
while (matcher.find()) {
sentWriter.set(
Integer.toString(i),
(Consumer<JSONOutputter.Writer>)
(JSONOutputter.Writer matchWriter) -> {
IndexedWord match = matcher.getMatch();
matchWriter.set("text", match.word());
matchWriter.set(
"begin", match.index() - 1);
matchWriter.set("end", match.index());
for (String capture :
matcher.getNodeNames()) {
matchWriter.set(
"$" + capture,
(Consumer<JSONOutputter.Writer>)
groupWriter -> {
IndexedWord node =
matcher.getNode(
capture);
groupWriter.set(
"text", node.word());
groupWriter.set(
"begin",
node.index() - 1);
groupWriter.set(
"end", node.index());
});
}
});
i += 1;
}
sentWriter.set("length", i);
}));
}
});
} catch (Exception e) {
e.printStackTrace();
try {
respondError(e.getClass().getName() + ": " + e.getMessage(), httpExchange);
} catch (IOException ignored) {
}
}
return "";
});
// Send response
byte[] response = new byte[0];
try {
response = json.get(5, TimeUnit.SECONDS).getBytes();
} catch (InterruptedException | ExecutionException | TimeoutException e) {
respondError("Timeout when executing Semgrex query", httpExchange);
}
if (response.length > 0) {
httpExchange.getResponseHeaders().add("Content-Type", "text/json");
httpExchange.getResponseHeaders().add("Content-Length", Integer.toString(response.length));
httpExchange.sendResponseHeaders(HTTP_OK, response.length);
httpExchange.getResponseBody().write(response);
httpExchange.close();
}
}