---
title: "Who cites Learning Methods to Combine — 40 citing papers"
description: "40 papers of the Elamur Research library cite «Learning Methods to Combine Linguistic Indicators:Improving Aspectual Classification and…"
canonical: "https://research.elamur.ai/free/en/papers/siegel-2000-learning-methods-combine-linguistic-indicators/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Learning Methods to Combine Linguistic…](https://md.research.elamur.ai/free/en/papers/siegel-2000-learning-methods-combine-linguistic-indicators/) / cited by

# Who cites «Learning Methods to Combine Linguistic Indicators:Improving Aspectual Classification and Revealing Linguistic Insights»

40 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Learning Methods to Combine Linguistic Indicators:Improving Aspectual Classification and Revealing Linguistic Insights»](https://md.research.elamur.ai/free/en/papers/siegel-2000-learning-methods-combine-linguistic-indicators/)

1. **[Experiments on the Automatic Induction of German Semantic Verb Classes](https://md.research.elamur.ai/free/en/papers/walde-2006-experiments-automatic-induction-german-semantic/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Schulte im Walde, Sabine*2006 · 260 citations*
2. **[A Probabilistic Account of Logical Metonymy](https://md.research.elamur.ai/free/en/papers/lapata-2003-probabilistic-account-logical-metonymy/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Maria Lapata, Alex Lascarides*2003 · 118 citations*
3. **[Learning the Countability of English Nouns from Corpus Data](https://md.research.elamur.ai/free/en/papers/baldwin-2003-learning-countability-english-nouns-corpus/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Timothy Baldwin, Francis Bond*2003 · 78 citations*
4. **[The Imperfective Paradox in Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2026-imperfective-paradox-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bolei Ma, Yusuke Miyao*2026*
5. [**Human Temporal Inferences Go Beyond Aspectual Class**Katarzyna Pruś, Mark Steedman, Adam Lopez*2024*](https://md.research.elamur.ai/free/en/papers/prus-2024-human-temporal-inferences-go-beyond/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/siegel-2000-learning-methods-combine-linguistic-indicators/) — Learning Methods to Combine Linguistic Indicators:Improving Aspectual Classification and Revealing Linguistic Insights