Crowdsourcing Question-Answer Meaning Representations

A Question and Answer Session on the Meaning of Being Human , with Dr. Gholamreza Aavani

LEARNER INITIATIVES ACROSS QUESTION-ANSWER SEQUENCES: A CONVERSATION ANALYTIC ACCOUNT OF LANGUAGE CLASSROOM DISCOURSE

This paper investigates learner-initiated responses to English language teachers’ referential questions and learner initiatives after teachers’ feedback moves in meaning-focused question-answer sequences to analyze how interactional practices of language teachers, their initiation and feedback moves, facilitate learner initiatives. Classroom discourse research has largely neglected learner init...

Machine Comprehension using Rich Semantic Representations

Machine comprehension tests the system’s ability to understand a piece of text through a reading comprehension task. For this task, we propose an approach using the Abstract Meaning Representation (AMR) formalism. We construct meaning representation graphs for the given text and for each question-answer pair by merging the AMRs of comprising sentences using cross-sentential phenomena such as co...

Visual Question: Predicting If a Crowd Will Agree on the Answer

Visual question answering (VQA) systems are emerging from a desire to empower users to ask any natural language question about visual content and receive a valid answer in response. However, close examination of the VQA problem reveals an unavoidable, entangled problem that multiple humans may or may not always agree on a single answer to a visual question. We train a model to automatically pre...

Crowdsourcing for (almost) Real-time Question Answering

Modern search engines have made dramatic progress in the answering of many user’s questions about facts, such as those that might be retrieved or directly inferred from a knowledge base. However, many other questions that real users ask are more complex, such as asking for opinions or advice for a particular situation, and are still largely beyond the competence of the computer systems. As conv...