AIHCLOSep 18, 2019

Conversational AI : Open Domain Question Answering and Commonsense Reasoning

arXiv:1909.08258v110 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of rational conversation in AI for users needing more natural interactions, but it appears incremental as it builds on existing commonsense reasoning approaches.

The research tackled the problem of creating a human-like question answering system by incorporating automated commonsense reasoning to understand dialogues, aiming to make it more robust.

Our research is focused on making a human-like question answering system which can answer rationally. The distinguishing characteristic of our approach is that it will use automated common sense reasoning to truly "understand" dialogues, allowing it to converse like a human. Humans often make many assumptions during conversations. We infer facts not told explicitly by using our common sense. Incorporating commonsense knowledge in a question answering system will simply make it more robust.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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