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

1. Effective QA-Driven Annotation of Predicate–Argument Relations Across Languages — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
2. CrowdAgent: Multi-Agent Managed Multi-Source Annotation System — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
3. QA-Noun: Representing Nominal Semantics via Natural Language Question-Answer Pairs — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
4. Where Did That Come From? Sentence-Level Error-Tolerant Attribution — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
5. Attribute First, then Generate: Locally-attributable Grounded Text Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
6. Explicating the Implicit: Argument Detection Beyond Sentence Boundaries — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
7. Multi-Review Fusion-in-Context — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
8. OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context — 2024 · Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)
9. The Power of Summary-Source Alignments — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
10. CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
11. Conjunct Resolution in the Face of Verbal Omissions — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
12. Cross-Document Event Coreference Resolution: Instruct Humans or Instruct GPT? — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
13. GPQA: A Graduate-Level Google-Proof Q&A Benchmark — 2023 · arXiv:2311.12022
14. Modeling Complex Event Scenarios via Simple Entity-focused Questions — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
15. OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
16. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
17. QA-Adj: Adding Adjectives to QA-based Semantics — 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations
18. Revisiting Sentence Union Generation as a Testbed for Text Consolidation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
19. Controlled Text Reduction — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
20. Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
21. Domain Adaptation of Machine Translation with Crowdworkers — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track
22. Draw Me a Flower: Processing and Grounding Abstraction in Natural Language — 2022 · Transactions of the Association for Computational Linguistics
23. LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
24. Lexical Generalization Improves with Larger Models and Longer Training — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
25. Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
26. QASem Parsing: Text-to-text Modeling of QA-based Semantics — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
27. QuALITY: Question Answering with Long Input Texts, Yes! — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
28. Text-based NP Enrichment — 2022 · Transactions of the Association for Computational Linguistics
29. Asking It All: Generating Contextualized Questions for any Semantic Role — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
30. Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
31. Does Putting a Linguist in the Loop Improve NLU Data Collection? — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
32. Extending Multi-Document Summarization Evaluation to the Interactive Setting — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
33. Inducing Semantic Roles Without Syntax — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
34. QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
35. Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing — 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)
36. Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
37. What Did You Refer to? Evaluating Co-References in Dialogue — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
38. What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? — 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)
39. A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument Labels — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
40. CoRefi: A Crowd Sourcing Suite for Coreference Annotation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
41. Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
42. QANom: Question-Answer driven SRL for Nominalizations — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
43. The Extraordinary Failure of Complement Coercion Crowdsourcing — 2020 · Proceedings of the First Workshop on Insights from Negative Results in NLP