1 / 13

Reader’s Questioning: Some Hints for Automated Question Generation

Reader’s Questioning: Some Hints for Automated Question Generation. José Otero 1 , Koto Ishiwa 1 , Vicente Sanjosé 2 (1) Universidad de Alcalá 28871 Alcalá de Henares Madrid, Spain jose.otero@uah.es koto.ishiwa@uah.es (2) Universitat de València 46071Valencia, Spain

linh
Download Presentation

Reader’s Questioning: Some Hints for Automated Question Generation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Reader’s Questioning: Some Hints for Automated Question Generation José Otero 1, Koto Ishiwa1 , Vicente Sanjosé2 (1) Universidad de Alcalá 28871 Alcalá de Henares Madrid, Spain jose.otero@uah.es koto.ishiwa@uah.es (2) Universitat de València 46071Valencia, Spain vicente.sanjose@uv.es Workshop on the Question Generation Shared Task and Evaluation Challenge September 25-26, 2008 NSF, Arlington, VA.

  2. Introduction • In this presentation we describe some basic components of the mechanism of human question asking. • Questions may be asked with several purposes. This analysis is focused on sincere information-seeking questions (ISQs) asked by humans who process discourse with an understanding goal.

  3. Organization of the presentation • Some basic components of human QG • Text-based and knowledge-based questions. • Generation of knowledge-based questions and a taxonomy according to their causes. • Some implications for automated QG.

  4. Mechanisms of question generation • Generation of ISQs by humans is triggered by the recognition of anomalies (Graesser and McMahen, 1993). • A knowledge deficit hypothesis and a knowledge clash hypothesis have been considered as alternative mechanisms to recognize these anomalies (Otero and Graesser, 2001) • Where is the nearest bus stop? • Can’t you see water vapor?

  5. A goal+obstacle hypothesis The generation of ISQs may be conceptualized as a process involving a request for information in order to remove obstacles towards a goal InputGoal TEXTOBSTACLESMENTAL REPRESENTATION Question Asking REQUEST FOR INFORMATION TO OVERCOME OBSTACLES

  6. Goals and obstacles when reading texts Readers attempting a mental representation at the • textbase levelgenerate text-basedquestions • What does isochoric mean? • situation model levelgenerate knowledge-basedquestions • Do waves move all the water or only what’s on the surface?

  7. How are knowledge-based questions generated? What may we not know about the world?   What kind of obstacles may be found in building a situation model? What does it take to build a situation model?: three types of inferences during conscious understanding (Trabasso and Magliano, 1996): • Associationsprovide information about features, properties, relations and, in general, descriptive detail of the entities mentioned in a text • Explanationsprovide reasons for why something occurs • Predictionsinclude consequences of actions or events and anticipate occurrences.

  8. Three types of obstacles found and questions asked

  9. Different reading goals result in different obstacles and different questions

  10. Some implications for QG systems • Obstacles to create a mental representation at the textbase level seem to be easier to identify than obstacles to build a situation model. Therefore generation of text-based questions should be easier to implement than the generation of knowledge-based questions. • Generation of knowledge-based questions should depend on the reading goal of the system, i.e., the attempted internal representation.

  11. Some implications for QG systems • The relevance of knowledge-based questions depends, at least, on goals and obstacles: • Given a certain input, it depends on the quality of the attempted goal. • Given a certain input and goal, it depends on the importance of the identified obstacle to attain the goal

  12. Thanks for your attention

  13. State any query or question so that you may correctly answer the questions of the comprehension test next day. (Understanding version) Calculate the speed of the boat in this case. State any query or question so that you may correctly solve the problem next day. (Problem solving version) Read the description of the following phenomenon carefully, trying to understand it. Sail boats are used since ancient times. Wind collides against the surface of sails that push the boat so that it navigates. However, sail boats are able to navigate against the wind since several centuries ago. When they navigate against the wind sail boats are able to reach speeds up to two times the square root of the wind’s speed at that moment. An appropriate wind to navigate may have a speed of 50 km/h.

More Related