[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/page/20/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / page 20 # papers/cited-by/ 1934 pages [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)[2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/3/)[4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/4/)[5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/5/)[6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/6/)[7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/7/)[8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/8/)[9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/9/)[10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/10/)[11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/11/)[12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/12/)[13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/13/)[14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/14/)[15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/15/)[16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/16/)[17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/17/)[18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/18/)[19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/19/)**20** - [zaenen-2013-veridicity-annotation-lexicon-look-factive](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zaenen-2013-veridicity-annotation-lexicon-look-factive/) — Who cites «Veridicity annotation in the lexicon? A look at factive adjectives» - [zarechnak-1976-russian-english-system-georgetown-university](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zarechnak-1976-russian-english-system-georgetown-university/) — Who cites «Russian-English system, Georgetown University» - [zarrie-2011-underspecifying-predicting-voice-surface-realisation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zarrie-2011-underspecifying-predicting-voice-surface-realisation/) — Who cites «Underspecifying and Predicting Voice for Surface Realisation Ranking» - [zarrie-2019-know-what-you-don-t](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zarrie-2019-know-what-you-don-t/) — Who cites «Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories» - [zeldes-2018-predictive-model-notional-anaphora-english](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zeldes-2018-predictive-model-notional-anaphora-english/) — Who cites «A Predictive Model for Notional Anaphora in English» - [zeldes-2019-disrpt-2019-shared-task-elementary](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zeldes-2019-disrpt-2019-shared-task-elementary/) — Who cites «The DISRPT 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection» - [zeldes-2022-opinion-piece-can-we-fix](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zeldes-2022-opinion-piece-can-we-fix/) — Who cites «Opinion Piece: Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes» - [zeldes-2023-are-ud-treebanks-getting-more](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zeldes-2023-are-ud-treebanks-getting-more/) — Who cites «Are UD Treebanks Getting More Consistent? A Report Card for English UD» - [zeldes-2025-erst-signaled-graph-theory-discourse](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zeldes-2025-erst-signaled-graph-theory-discourse/) — Who cites «eRST: A Signaled Graph Theory of Discourse Relations and Organization» - [zelikman-2022-star-bootstrapping-reasoning-reasoning](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zelikman-2022-star-bootstrapping-reasoning-reasoning/) — Who cites «STaR: Bootstrapping Reasoning With Reasoning» - [zelikman-2022-star-bootstrapping-reasoning-reasoning-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zelikman-2022-star-bootstrapping-reasoning-reasoning-2/) — Who cites «STaR: Bootstrapping Reasoning With Reasoning» · page 2 - [zelikman-2022-star-bootstrapping-reasoning-reasoning-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zelikman-2022-star-bootstrapping-reasoning-reasoning-3/) — Who cites «STaR: Bootstrapping Reasoning With Reasoning» · page 3 - [zelikman-2022-star-bootstrapping-reasoning-reasoning-4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zelikman-2022-star-bootstrapping-reasoning-reasoning-4/) — Who cites «STaR: Bootstrapping Reasoning With Reasoning» · page 4 - [zelikman-2022-star-bootstrapping-reasoning-reasoning-5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zelikman-2022-star-bootstrapping-reasoning-reasoning-5/) — Who cites «STaR: Bootstrapping Reasoning With Reasoning» · page 5 - [zelikman-2022-star-bootstrapping-reasoning-reasoning-6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zelikman-2022-star-bootstrapping-reasoning-reasoning-6/) — Who cites «STaR: Bootstrapping Reasoning With Reasoning» · page 6 - [zeman-2026-word-alignment-based-evaluation-uniform](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zeman-2026-word-alignment-based-evaluation-uniform/) — Who cites «Word Alignment-Based Evaluation of Uniform Meaning Representations» - [zeng-2022-survey-automatic-irony-processing-linguistic](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zeng-2022-survey-automatic-irony-processing-linguistic/) — Who cites «A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives» - [zhang-2008-tale-two-parsers-investigating-combining](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhang-2008-tale-two-parsers-investigating-combining/) — Who cites «A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing» - [zhang-2008-tale-two-parsers-investigating-combining-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhang-2008-tale-two-parsers-investigating-combining-2/) — Who cites «A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing» · page 2 - [zhang-2024-can-your-model-tell-negation](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhang-2024-can-your-model-tell-negation/) — Who cites «Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders» - [zhao-2009-semantic-dependency-parsing-nombank-propbank](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhao-2009-semantic-dependency-parsing-nombank-propbank/) — Who cites «Semantic Dependency Parsing of NomBank and PropBank: An Efficient Integrated Approach via a Large-scale Feature Selection» - [zhao-2017-joint-syntacto-discourse-parsing-syntacto](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhao-2017-joint-syntacto-discourse-parsing-syntacto/) — Who cites «Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank» - [zhao-2021-revisiting-shallow-discourse-parsing-pdtb](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhao-2021-revisiting-shallow-discourse-parsing-pdtb/) — Who cites «Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits» - [zhao-2022-pcr4all-comprehensive-evaluation-benchmark-pronoun](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhao-2022-pcr4all-comprehensive-evaluation-benchmark-pronoun/) — Who cites «PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English» - [zhao-2025-comparing-human-llm-politeness-strategies](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhao-2025-comparing-human-llm-politeness-strategies/) — Who cites «Comparing human and LLM politeness strategies in free production» - [zheng-2020-evaluating-enhancing-robustness-neural-network](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zheng-2020-evaluating-enhancing-robustness-neural-network/) — Who cites «Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples» - [zheng-2021-grice-grammar-based-dataset-recovering](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zheng-2021-grice-grammar-based-dataset-recovering/) — Who cites «GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning» - [zhou-2019-handling-syntactic-divergence-low-resource](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhou-2019-handling-syntactic-divergence-low-resource/) — Who cites «Handling Syntactic Divergence in Low-resource Machine Translation» - [zhu-2010-monolingual-tree-based-translation-model](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhu-2010-monolingual-tree-based-translation-model/) — Who cites «A Monolingual Tree-based Translation Model for Sentence Simplification» - [zhu-2010-monolingual-tree-based-translation-model-2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhu-2010-monolingual-tree-based-translation-model-2/) — Who cites «A Monolingual Tree-based Translation Model for Sentence Simplification» · page 2 - [zhu-2010-monolingual-tree-based-translation-model-3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhu-2010-monolingual-tree-based-translation-model-3/) — Who cites «A Monolingual Tree-based Translation Model for Sentence Simplification» · page 3 - [zhu-2021-anatomy-ontogum-adapting-gum-ontonotes](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhu-2021-anatomy-ontogum-adapting-gum-ontonotes/) — Who cites «Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms» - [ziems-2022-value-understanding-dialect-disparity-nlu](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ziems-2022-value-understanding-dialect-disparity-nlu/) — Who cites «VALUE: Understanding Dialect Disparity in NLU» - [ziems-2023-multi-value-framework-cross-dialectal](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ziems-2023-multi-value-framework-cross-dialectal/) — Who cites «Multi-VALUE: A Framework for Cross-Dialectal English NLP» [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)[2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/3/)[4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/4/)[5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/5/)[6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/6/)[7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/7/)[8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/8/)[9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/9/)[10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/10/)[11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/11/)[12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/12/)[13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/13/)[14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/14/)[15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/15/)[16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/16/)[17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/17/)[18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/18/)[19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/page/19/)**20**