---
title: "Who cites An Improved Non-monotonic Transition System for…"
description: "147 papers of the Elamur Research library cite «An Improved Non-monotonic Transition System for Dependency Parsing», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/honnibal-2015-improved-non-monotonic-transition-system/cited-by/"
---
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# Who cites «An Improved Non-monotonic Transition System for Dependency Parsing»

147 papers of our library cite it (of the 140,884 whose bibliographies we read) · 9 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/honnibal-2015-improved-non-monotonic-transition-system/)

1. [**A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents**Arman Cohan, Franck Dernoncourt, Doo Soon Kim, et al.*2018 · 1,018 citations*](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/)
2. [**CogVLM: Visual Expert for Pretrained Language Models**Weihan Wang, Qingsong Lv, Wenmeng Yu, et al.*2023 · 373 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-cogvlm-visual-expert-pretrained/)
3. [**Neural Models of Factuality**Rachel Rudinger, Aaron Steven White, Benjamin Van Durme*2018 · 111 citations*](https://md.research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/)
4. [**Using Syntax to Resolve NPE in English**Payal Khullar, Allen Antony, Manish Shrivastava*2019 · 13 citations*](https://md.research.elamur.ai/free/en/papers/khullar-2019-syntax-resolve-npe-english/)
5. [**Coreference Reasoning in Machine Reading Comprehension**Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/wu-2021-coreference-reasoning-machine-reading-comprehension/)
6. [**BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition**Miyu Oba, Akari Haga, Akiyo Fukatsu, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/oba-2023-babylm-challenge-curriculum-learning-based/)
7. [**Universal Grammatical Dependencies for Portuguese with CINTIL Data, LX Processing and CLARIN support**António Branco, João Ricardo Silva, Luís Gomes, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/branco-2022-universal-grammatical-dependencies-portuguese-cintil/)
8. [**CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions**Francesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padovani-2026-cait-syntactic-parsing-toolkit-child/)
9. [**The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project**Angelina Aspra Aquino, Lester James Validad Miranda, Elsie Marie T. Or*2025*](https://md.research.elamur.ai/free/en/papers/aquino-2025-ud-newscrawl-treebank-reflections-challenges/)

138 more papers of our library cite it; they have no page here yet.

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