Hub for preprocessing of questions for yodaQA
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README.md

Hub

Hub for preprocessing of questions for yodaQA Hub is interling between YodaQA-client and yodaQA. It's purpose is to get question from YodaQA-client, preprocess it, send it to yodaQA (or to other service, if it decides so), get answer and send answer back to web interface.

Installation Instructions

Quick instructions for setting up, building and running:

  • You need Java 1.8 and Gradle
  • We assume that you cloned Hub and are now in the directory that contains this README.
  • gradlew build to build
  • gradlew run -PexecArgs="[Port to run] [Address of YodaQA]" to run

Example

YodaQA runs on http://localhost:4567/. To run HUB on port 4568 (it must differ from yodaQA's port), run in it's root directory gradlew build and gradlew run -PexecArgs="4568 http://localhost:4567/". To connect YodaQA-client to HUB add ?e=http://localhost:4568/ to the end of url.

Dialog API

Dialog API expands YodaQA's API https://github.com/brmson/yodaqa/blob/master/doc/REST-API.md. Hub gets request from web client and sends it further to YodaQA with minor changes. The list of changes follows.

Question asking

To start answering process, use POST request method to /q with text attribute set to question and dialogID attribute set to current dialog id. If there is no dialog id (for example you don't know it, because you haven't started any dialog yet), new dialog is created. Return is id of question and id of dialog.

Question retrieving

To retrieve answers use GET request method in format /q/<qid>/<did>, where qid is question id and did is dialog id. Boath were returned during questioning. Answers is returned in JSON.

Dialog retrieving

To retrieve dialog use GET request method in format /q/<did>, where did is dialog id. Answer is ids of question contained in dialog in JSON format.

Past dialogs

To retrieve past dialogs use GET request method in format /q/?dialogs. Past dialogs are returned in JSON.

Artificial concepts

Artificial concepts are concepts, selected by users and not generated by YodaQA. Informations about them are send in fields:

  • numberOfConcepts - number of concepts generated in total
  • fullLabel{i} - full label of selected concept of number {i} (replace '{i}' with number)
  • pageID{i} - page id of selected concept of number {i} (replace '{i}' with number)

Coreference resolution

Concepts of last n answers are used, when third person pronoun(he, she, it) is founded in question's text. MAX_QUESTIONS_TO_REMEMBER_CONCEPT constant is used as n. Default value is 5.

Example

When the first question is "What book wrote J. R. R. Tolkien?", the generated concept is "J. R. R. Tolkien". The second question "Where was he born?" contains "he", so concept from the first question will be used.

Transformations

Hub can transform questions and answers also. We are using "age transform" currently.

Example

Age transform changes question from "How old is someone?" to "When he was born?". We do it, because YodaQA has better success with finding of birth date. Answers are transformed back by calculation difference between today's date and date in answer. Transformed answers are showed to users.