Who cites «Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language» · page 2
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- What is the Essence of a Claim? Cross-Domain Claim Identification — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources — 2016 · Transactions of the Association for Computational Linguistics
- Human-in-the-Loop Parsing — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Universal Decompositional Semantics on Universal Dependencies — our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Joint A* CCG Parsing and Semantic Role Labelling — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- chen-2024-semantic-role-labeling-chinese-speech
- davidov-2026-effective-qa-driven-annotation-predicate
- dutt-2024-investigating-generalizability-pretrained-language-models
- figueras-2022-semantics-aware-approach-automated-claim
- holur-2023-my-side-your-side-evidence
- jiang-2020-novel-workflow-accurately-efficiently-crowdsourcing
- kearns-2019-uw-bhi-mediqa-2019-analysis
- kleinle-2024-omos-qa-dataset-cross-lingual
- lamarche-2024-benchie-textasciicircumfl-manually-re-annotated
- lin-2020-automated-graph-generation-sentence-level
- lin-2021-readonce-transformers-reusable-representations-text
- michael-2023-case-scalable-data-driven-theory
- qin-2025-beyond-output-matching-bidirectional-alignment
- raghav-2025-are-llms-good-semantic-role
- stammbach-2022-heroes-villains-victims-gpt-3
- stanovsky-2016-annotating-predicting-non-restrictive-noun
- stanovsky-2016-creating-large-benchmark-open-information
- stanovsky-2018-supervised-open-information-extraction
- tang-2020-syntactic-semantic-driven-learning-open
- tseytlin-2025-qa-noun-representing-nominal-semantics
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