private bool isInform(AnnotatedQuestionActionEntry action, SLUFactory sluFactory)
{
var slu = sluFactory.GetBestDialogAct(UtteranceParser.Parse(action.Text));
if (slu is DontKnowAct || slu is NegateAct || slu is ChitChatAct || slu is AffirmAct)
{
return(false);
}
return(true);
}
static void MainParsing(string[] args)
{
var utterance = "yes, Obama is president of which state?";
var parsedUtterance = UtteranceParser.Parse(utterance);
var factory = new SLUFactory();
var bestAct = factory.GetBestDialogAct(parsedUtterance);
var acts = factory.GetDialogActs(parsedUtterance);
foreach (var act in acts)
{
Console.WriteLine(act);
}
}
private Dictionary <string, object> getUserSlu(AnnotatedQuestionActionEntry userAction, SLUFactory sluFactory)
{
var slu = sluFactory.GetBestDialogAct(UtteranceParser.Parse(userAction.Text));
if (slu is DontKnowAct || slu is NegateAct || slu is ChitChatAct || slu is AffirmAct)
{
return(slu.GetDialogAct().ToDictionary());
}
return(new Dictionary <string, object>()
{
{ "act", "Inform" },
{ "text", userAction.Text }
});
}
public ResponseBase Input(ParsedUtterance utterance)
{
if (!_isInitialized)
{
throw new InvalidOperationException("Cannot take input before initialization");
}
var inputAct = _factory.GetBestDialogAct(utterance);
_currentState = applyInput(inputAct, _currentState);
//reset expect answer flag after each input.
_currentState = _currentState.SetExpectAnswer(false);
return(applyAction());
}
internal ActionEntry(int actionIndex, Dictionary <string, object> data)
{
ActionIndex = actionIndex;
Data = data;
if (data.ContainsKey(CallStorage.TimeEntry))
{
Time = (DateTime)data[CallStorage.TimeEntry];
}
if (data.ContainsKey("user_id"))
{
UserId = data["user_id"] as string;
}
if (data.ContainsKey("task_id"))
{
TaskId = int.Parse(data["task_id"] as string);
}
Type = "T_" + resolveType(data);
object textData;
if (
data.TryGetValue("message", out textData) ||
data.TryGetValue("utterance", out textData) ||
data.TryGetValue("response", out textData)
)
{
Text = textData as string;
}
else
{
Text = "";
}
object actData;
if (data.TryGetValue("response_act", out actData))
{
if (actData != null)
{
Act = actData.ToString();
}
}
if (data.TryGetValue("response_act_json", out actData))
{
if (actData != null)
{
MachineActJson = actData.ToString();
}
}
if (data.ContainsKey("task"))
{
var substitutions = data["substitutions"] as Newtonsoft.Json.Linq.JArray;
Text = string.Format(data["format"].ToString(), substitutions.ToArray());
if (data.ContainsKey("success_code"))
{
Text = $"Success: {data["success_code"]}, " + Text;
}
}
switch (Type)
{
case "T_advice":
Text = "<b>Question</b>:" + data["question"] + "<br>";
Text += "<b>Context</b>:" + data["context"] + "<br>";
Text += "<b>Answer</b>:" + data["correctAnswerNode"] + "<br><br>";
break;
case "T_equivalence":
Text = "<b>PatternQuestion</b>:" + data["patternQuestion"] + "<br>";
Text += "<b>QueriedQuestion</b>:" + data["queriedQuestion"] + "<br>";
Text += "<b>IsEquivalent</b>:" + data["isEquivalent"] + "<br><br>";
break;
case "T_utterance":
var utterance = UtteranceParser.Parse(data["utterance"] as string);
Act = _factory.GetBestDialogAct(utterance).ToString();
break;
}
}