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# Who cites «Controlled Crowdsourcing for High-Quality QA-SRL Annotation»

43 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/roit-2020-controlled-crowdsourcing-high-quality-qa/)

1. [Attribute First, then Generate: Locally-attributable Grounded Text Generation](https://aclanthology.org/2024.acl-long.182/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Explicating the Implicit: Argument Detection Beyond Sentence Boundaries](https://aclanthology.org/2024.acl-long.863/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Multi-Review Fusion-in-Context](https://aclanthology.org/2024.findings-naacl.189/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
4. [The Power of Summary-Source Alignments](https://aclanthology.org/2024.findings-acl.389/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
5. [Cross-Document Event Coreference Resolution: Instruct Humans or Instruct GPT?](https://aclanthology.org/2023.conll-1.38/) *— 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)*
6. [GPQA: A Graduate-Level Google-Proof Q&A Benchmark](https://arxiv.org/abs/2311.12022) *— 2023 · arXiv:2311.12022*
7. [OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization](https://aclanthology.org/2023.emnlp-main.121/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
8. [PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition](https://aclanthology.org/2023.findings-acl.565/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [QA-Adj: Adding Adjectives to QA-based Semantics](https://aclanthology.org/2023.dmr-1.8/) *— 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations*
10. [Revisiting Sentence Union Generation as a Testbed for Text Consolidation](https://aclanthology.org/2023.findings-acl.440/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
11. [Controlled Text Reduction](https://aclanthology.org/2022.emnlp-main.385/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training](https://aclanthology.org/2022.lrec-1.231/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
13. [Draw Me a Flower: Processing and Grounding Abstraction in Natural Language](https://aclanthology.org/2022.tacl-1.77/) *— 2022 · Transactions of the Association for Computational Linguistics*
14. [LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework](https://aclanthology.org/2022.findings-naacl.51/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
15. [Lexical Generalization Improves with Larger Models and Longer Training](https://aclanthology.org/2022.findings-emnlp.323/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
16. [Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes](https://aclanthology.org/2022.emnlp-main.232/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
17. [QASem Parsing: Text-to-text Modeling of QA-based Semantics](https://aclanthology.org/2022.emnlp-main.528/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
18. [QuALITY: Question Answering with Long Input Texts, Yes!](https://aclanthology.org/2022.naacl-main.391/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
19. [Text-based NP Enrichment](https://aclanthology.org/2022.tacl-1.44/) *— 2022 · Transactions of the Association for Computational Linguistics*
20. [Asking It All: Generating Contextualized Questions for any Semantic Role](https://aclanthology.org/2021.emnlp-main.108/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence](https://aclanthology.org/2021.findings-acl.371/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
22. [Does Putting a Linguist in the Loop Improve NLU Data Collection?](https://aclanthology.org/2021.findings-emnlp.421/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
23. [Extending Multi-Document Summarization Evaluation to the Interactive Setting](https://aclanthology.org/2021.naacl-main.54/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
24. [Inducing Semantic Roles Without Syntax](https://aclanthology.org/2021.findings-acl.389/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
25. [QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions](https://aclanthology.org/2021.emnlp-main.778/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
26. [Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing](https://aclanthology.org/2021.acl-short.44/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
27. [Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline](https://aclanthology.org/2021.conll-1.25/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
28. [What Did You Refer to? Evaluating Co-References in Dialogue](https://aclanthology.org/2021.findings-acl.450/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
29. [What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?](https://aclanthology.org/2021.acl-long.98/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
30. [CoRefi: A Crowd Sourcing Suite for Coreference Annotation](https://aclanthology.org/2020.emnlp-demos.27/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
31. [Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods](https://aclanthology.org/2020.coling-main.442/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
32. [QANom: Question-Answer driven SRL for Nominalizations](https://md.mova.elamur.ai/free/en/docs/papers/klein-2020-qanom-question-answer-driven-srl/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
33. cattan-2023-champ-efficient-annotation-consolidation-cluster
34. davidov-2026-effective-qa-driven-annotation-predicate
35. elazar-2020-extraordinary-failure-complement-coercion-crowdsourcing
36. ernst-2025-where-did-that-come-sentence
37. jiang-2020-novel-workflow-accurately-efficiently-crowdsourcing
38. kleinle-2024-omos-qa-dataset-cross-lingual
39. koupaee-2023-modeling-complex-event-scenarios-simple
40. morishita-2022-domain-adaptation-machine-translation-crowdworkers
41. qin-2025-crowdagent-multi-agent-managed-multi
42. rassin-2023-conjunct-resolution-face-verbal-omissions
43. tseytlin-2025-qa-noun-representing-nominal-semantics
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