# Conversational AI : Open Domain Question Answering and Commonsense Reasoning

Source: [Conversational AI : Open Domain Question Answering and Commonsense Reasoning](<https://www.sota2.com/research/paper/68fa66641e209131cea10101>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T21:49:28.917Z

Authors: Kinjal Basu

Published: 2019-09-18T07:13:46.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1909.08258>)

[PDF](<https://arxiv.org/pdf/1909.08258.pdf>)