Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection
Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M. Khapra, Ehud Aharoni, Noam Slonim · 2015
Engaging in a debate with oneself or others to take decisions is an integral part of our day-today life.A debate on a topic (say, use of performance enhancing drugs) typically proceeds by one party making an assertion/claim (say, PEDs are bad for health) and then providing an evidence to support the claim (say, a 2006 study shows that PEDs have psychiatric side effects).In this work, we propose the task of automatically detecting such evidences from unstructured text that support a given claim.This task has many practical applications in decision support and persuasion enhancement in a wide range of domains.We first introduce an extensive benchmark data set tailored for this task, which allows training statistical models and assessing their performance.Then, we suggest a system architecture based on supervised learning to address the evidence detection task.Finally, promising experimental results are reported.