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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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Transactions of the Association for Computational Linguistics
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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.

affaffiliation
fundfunder
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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.

52 results · 1 filter active ·
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20132025
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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.
52 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 52 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 52 of 52 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
MasakhaNER: Named Entity Recognition for African Languages
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, Daniel D’souza, Julia Kreutzer, Constantine Lignos +55 more
2021· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh +45 more
2022· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
167
citations
afffundunlabeled
Learning to Understand Phrases by Embedding the Dictionary
Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio
2016· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
161
citations
affunlabeled
Measuring Machine Translation Errors in New Domains
Ann Irvine, John Morgan, Marine Carpuat, Hal Daumé, Dragos Stefan Munteanu
2013· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
77
citations
affunlabeled
Modeling Past and Future for Neural Machine Translation
Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen +1 more
2018· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
54
citations
fundno affunlabeled
Generative Spoken Dialogue Language Modeling
Tu Anh Nguyen, Eugene Kharitonov, Jade Copet, Yossi Adi, Wei-Ning Hsu, Ali Elkahky +5 more
2023· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
49
citations
affunlabeled
Generate, Annotate, and Learn: NLP with Synthetic Text
Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi
2022· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Questions Are All You Need to Train a Dense Passage Retriever
Devendra Singh Sachan, Dani Yogatama, Luke Zettlemoyer, Joëlle Pineau, Manzil Zaheer
2023· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
28
citations
affunlabeled
A Generative Model of Phonotactics
Richard Futrell, Adam Albright, Peter Graff, Timothy J. O’Donnell
2017· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
28
citations
fundno affunlabeled
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation
Olga Majewska, Evgeniia Razumovskaia, Edoardo Maria Ponti, Ivan Vulić, Anna Korhonen
2023· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Scope Ambiguities in Large Language Models
Gaurav Kamath, Sebastian Schuster, Sowmya Vajjala, Siva Reddy
2024· preprint· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Heterogeneous Supervised Topic Models
Dhanya Sridhar, Hal Daumé, David M. Blei
2022· article· en· Transactions of the Association for Computational Linguistics· Social Sciences
distilled prediction:candidate · stsconsensus · none
10
citations
afffundunlabeled
Lexically Aware Semi-Supervised Learning for OCR Post-Correction
Shruti Rijhwani, Daisy Rosenblum, Antonios Anastasopoulos, Graham Neubig
2021· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
A Computational Framework for Slang Generation
2021· article· en· Transactions of the Association for Computational Linguistics· Social Sciences
distilled prediction:candidate · metaresearchconsensus · none
9
citations
affunlabeled
Joint Prediction of Word Alignment with Alignment Types
Anahita Mansouri Bigvand, Te Bu, Anoop Sarkar
2017· article· en· Transactions of the Association for Computational Linguistics· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Quantifying Cognitive Factors in Lexical Decline
David M. Francis, Ella Rabinovich, Farhan Samir, David R. Mortensen, Suzanne Stevenson
2021· preprint· en· Transactions of the Association for Computational Linguistics· Social Sciences
distilled prediction:candidate · noneconsensus · none
0
citations

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