Who cites «Controlled Crowdsourcing for High-Quality QA-SRL Annotation»
- 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)
- 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)
- Multi-Review Fusion-in-Context — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- The Power of Summary-Source Alignments — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Cross-Document Event Coreference Resolution: Instruct Humans or Instruct GPT? — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark — 2023 · arXiv:2311.12022
- OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- QA-Adj: Adding Adjectives to QA-based Semantics — 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations
- Revisiting Sentence Union Generation as a Testbed for Text Consolidation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Controlled Text Reduction — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Draw Me a Flower: Processing and Grounding Abstraction in Natural Language — 2022 · Transactions of the Association for Computational Linguistics
- 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
- Lexical Generalization Improves with Larger Models and Longer Training — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- 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
- QASem Parsing: Text-to-text Modeling of QA-based Semantics — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- 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
- Text-based NP Enrichment — 2022 · Transactions of the Association for Computational Linguistics
- Asking It All: Generating Contextualized Questions for any Semantic Role — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- 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
- Does Putting a Linguist in the Loop Improve NLU Data Collection? — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- 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
- Inducing Semantic Roles Without Syntax — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- 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
- 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)
- Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
- What Did You Refer to? Evaluating Co-References in Dialogue — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- 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)
- CoRefi: A Crowd Sourcing Suite for Coreference Annotation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- QANom: Question-Answer driven SRL for Nominalizations — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- cattan-2023-champ-efficient-annotation-consolidation-cluster
- davidov-2026-effective-qa-driven-annotation-predicate
- elazar-2020-extraordinary-failure-complement-coercion-crowdsourcing
- ernst-2025-where-did-that-come-sentence
- jiang-2020-novel-workflow-accurately-efficiently-crowdsourcing
- kleinle-2024-omos-qa-dataset-cross-lingual
- koupaee-2023-modeling-complex-event-scenarios-simple
- morishita-2022-domain-adaptation-machine-translation-crowdworkers
- qin-2025-crowdagent-multi-agent-managed-multi
- rassin-2023-conjunct-resolution-face-verbal-omissions
- tseytlin-2025-qa-noun-representing-nominal-semantics
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