# SCAI-QReCC Shared Task on Conversational Question Answering

Source: [SCAI-QReCC Shared Task on Conversational Question Answering](<https://www.sota2.com/research/paper/68fa6bba1e209131cea2fec8>)

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

Data updated: 2025-10-25T23:55:05.513Z

Authors: Svitlana Vakulenko, Johannes Kiesel, Maik Fr\\"obe

Published: 2022-01-26T18:03:21.000Z

## Abstract

Search-Oriented Conversational AI (SCAI) is an established venue that regularly puts a spotlight upon the recent work advancing the field of conversational search. SCAI'21 was organised as an independent on-line event and featured a shared task on conversational question answering. Since all of the participant teams experimented with answer generation models for this task, we identified evaluation of answer correctness in this settings as the major challenge and a current research gap. Alongside the automatic evaluation, we conducted two crowdsourcing experiments to collect annotations for answer plausibility and faithfulness. As a result of this shared task, the original conversational QA dataset used for evaluation was further extended with alternative correct answers produced by the participant systems.

## 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/2201.11094>)

[PDF](<https://arxiv.org/pdf/2201.11094.pdf>)