Claims

QBERT-RR finds high-confidence one-sentence Wikipedia answers for 463 WTC questions

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? After filtering by a 0.795 cosine-similarity confidence threshold, 463 of the 8,600 WTC questions can be answered from Wikipedia Summary. → Zhaozhen Xu 2024

Evidence

Zhaozhen Xu 2024

Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini. (2024). Understanding Visitors' Curiosity in a Science Centre with Deep Question Processing Network. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-023-00377-8

q2 · i? · design · r2

Open-domain open-book QA retrieval over roughly 21M Wikipedia Summary sentences, embedded with QBERT-RR and searched via approximate nearest neighbour. The article reports "there are 463 questions in the corpus that can find an answer within the Wikipedia Summary" above the confidence threshold.

"After filtering the high-confidence answers, there are 463 questions in the corpus that can find an answer within the Wikipedia Summary using QBERT-RR."

Discussion

Page metadata
Field Value
type claim
id wtc-463-questions-answered-wikipedia
title QBERT-RR finds high-confidence one-sentence Wikipedia answers for 463 WTC questions
description QBERT-RR finds high-confidence one-sentence Wikipedia answers for 463 WTC questions
status review
evidence_strength moderate
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — zhaozhen-xu-2024

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