[Corpora-List] Call for Participation: TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration

Swapna Somasundaran swapna.sundaran at gmail.com
Tue Jun 25 20:12:28 CEST 2019

Call for Participation: TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration https://github.com/umanlp/tg2019task

We invite participation in the new shared task on explanation regeneration associated with the 13th Workshop on Graph-Based Natural Language Processing (TextGraphs 2019). All systems participating in the shared task will be invited to submit system description papers. Each system description paper will be peer-reviewed by (two) other participating teams and will be presented as a poster at the main workshop.

Overview ========

This shared task focuses on explanation reconstruction, a stepping-stone towards general multi-hop inference over language. In particular, the inputs to this task consist of questions and their correct answers. Participating systems must extract and rank explanation sentences from a provided structured knowledge base such that the top-ranked sentences provide a complete explanation for the given answer.

Example =======

For example, for the question: "Which of the following is an example of an organism taking in nutrients?" with the correct answer: "a girl eating an apple", an ideal system would rank the following explanatory statements at the top of its extracted sentences:

1. A girl means a human girl. 2. Humans are living organisms. 3. Eating is when an organism takes in nutrients in the form of food. 4. Fruits are kinds of foods. 5. An apple is a kind of fruit.

Important Dates ===============

13-05-2019: Example (trial) data release 17-05-2019: Training data release 12-07-2019: Test data release; Evaluation start 26-07-2019: Evaluation end 19-08-2019: System description paper deadline 09-09-2019: Deadline for reviews of system description papers 16-09-2019: Author notifications 30-09-2019: Camera-ready description paper deadline 03-11-2019/04-11-2019: TextGraphs-13 workshop

Data ====

The data used in this shared task contains 1,680 questions drawn from the AI2 Reasoning Challenge (ARC) dataset (Clark et al., 2018), together with explanation sentences for their correct answers (Jansen et al., 2018).

The knowledge base supporting these questions contains approximately 5,000 facts.

Please see the shared task website for more details: https://github.com/umanlp/tg2019task

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