---
title: "Who cites AMALGUM – A Free, Balanced, Multilayer English…"
description: "The papers of the Elamur Research library that cite «AMALGUM – A Free, Balanced, Multilayer English Web Corpus», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/lingbulk-2020-gessler-amalgum-free-balanced-multilayer-english/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [AMALGUM – A Free, Balanced, Multilayer English…](https://md.research.elamur.ai/free/en/papers/lingbulk-2020-gessler-amalgum-free-balanced-multilayer-english/) / cited by

# Who cites «AMALGUM – A Free, Balanced, Multilayer English Web Corpus»

10 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/lingbulk-2020-gessler-amalgum-free-balanced-multilayer-english/)

1. [Unpacking Ambiguity: The Interaction of Polysemous Discourse Markers and Non-DM Signals](https://md.research.elamur.ai/free/en/papers/wu-2025-unpacking-ambiguity-interaction-polysemous-discourse/) *— our card · 2025 · Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)*
2. [eRST: A Signaled Graph Theory of Discourse Relations and Organization](https://md.research.elamur.ai/free/en/papers/zeldes-2025-erst-signaled-graph-theory-discourse/) *— our card · 2025*
3. [GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains](https://md.research.elamur.ai/free/en/papers/liu-2024-gdtb-genre-diverse-data-english/) *— our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
4. [Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts](https://aclanthology.org/2023.eacl-main.54/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
5. [Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages?](https://arxiv.org/abs/2311.00268) *— 2023 · arXiv:2311.00268*
6. [What's Hard in English RST Parsing? Predictive Models for Error Analysis](https://aclanthology.org/2023.sigdial-1.3/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
7. [Midas Loop: A Prioritized Human-in-the-Loop Annotation for Large Scale Multilayer Data](https://aclanthology.org/2022.law-1.13/) *— 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022*
8. [Developing a multilayer semantic annotation scheme based on ISO standards for the visualization of a newswire corpus](https://aclanthology.org/2021.isa-1.1/) *— 2021 · Proceedings of the 17th Joint ACL - ISO Workshop on Interoperable Semantic Annotation*
9. [DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection](https://aclanthology.org/2021.disrpt-1.6/) *— 2021 · Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)*
10. [The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification](https://aclanthology.org/2021.disrpt-1.1/) *— 2021 · Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)*