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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

19 results · 1 filter active ·
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20212021
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
19 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 19 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 19 of 19 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

fundno affunlabeled
Contextualized Query Embeddings for Conversational Search
Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin
2021· article· en· Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Automated Generation of Accurate & Fluent Medical X-ray Reports
Hoang Nga Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong +1 more
2021· article· en· Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing· Computer Science
machine prediction:candidate · noneconsensus · none
38
citations
fundno affunlabeled
Conditional probing: measuring usable information beyond a baseline
John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning
2021· article· en· Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
Moussa Kamal Eddine, Antoine J.‐P. Tixier, Michalis Vazirgiannis
2021· preprint· en· Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn, Alice Oh
2021· preprint· en· Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Linguistic Dependencies and Statistical Dependence
Jacob Louis Hoover, Wenyu Du, Alessandro Sordoni, Timothy J. O’Donnell
2021· preprint· en· Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
Types of Out-of-Distribution Texts and How to Detect Them
Udit Arora, William C. Huang, He He
2021· article· en· Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About