Pulse Explore Journal Club Debates Trending Researchers

Join discussions, follow papers, and never miss your next session.

Download on theApp Store

Home Explore Journal Club Trending

⌘+K

GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering | Synapse

January 1, 2023Open Access

GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering

RDRitam DuttCarnegie Mellon University SKSopan KhoslaAdobe Systems (United States)VKVinayshekhar Bannihatti KumarAmazon (United States)

Key Points

Key points are not available for this paper at this time.

Abstract

Ritam Dutt, Sopan Khosla, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

Ask AI

Helpful

Bookmark

Share

View Full Paper

Ask AI

Helpful

Bookmark

Share

View Full Paper

Cite This Study

Dutt et al. (Sun,) studied this question.

synapsesocial.com/papers/6a19500ef3c200df10583013 https://doi.org/https://doi.org/10.18653/v1/2023.ijcnlp-main.58

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Exploring the Reasons for Non-generalizability of KBQA systems2023 · 5 citations
2TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases2022 · 9 citations
3A knowledge graph based question answering method for medical domain2021 · 45 citations
4CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation2022 · 24 citations
5A Knowledge Graph for Assessing Agressive Tax Planning Strategies2020 · 6 citations