---
title: "Rhine-Ruhr — works of 2022: 4 papers, the most cited first"
description: "4 works of Rhine-Ruhr from 2022 in our library, the most cited first. Among them: Is Reinforcement Learning (Not) for Natural Language…"
canonical: "https://research.elamur.ai/free/en/agglomerations/rhine-ruhr/year/2022/"
---
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# Works of Rhine-Ruhr from 2022

4 works · the most cited first · [← Rhine-Ruhr](https://md.research.elamur.ai/free/en/agglomerations/rhine-ruhr/)

1. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization arXiv:2210.01241**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
2. **[HeiMorph at SIGMORPHON 2022 Shared Task on Morphological Acquisition Trajectories](https://md.research.elamur.ai/free/en/papers/ramarao-2022-heimorph-sigmorphon-2022-shared-task/) [Workshop of the Special Interest Group on Computational Morphology and Phonology (SIGMORPHON)](https://md.research.elamur.ai/free/en/venues/sigmorphon/)**Akhilesh Kakolu Ramarao, Yulia Zinova, Kevin Tang, et al.*2022 · 6 citations*
3. **[Disambiguation of morpho-syntactic features of African American English – the case of habitual be](https://md.research.elamur.ai/free/en/papers/santiago-2022-disambiguation-morpho-syntactic-features-african/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Harrison Santiago, Joshua Martin, Sarah Moeller, et al.*2022 · 5 citations*
4. [**The Maaloula Aramaic Speech Corpus (MASC): From Printed Material to a Lemmatized and Time-Aligned Corpus**Ghattas Eid, Esther Seyffarth, Ingo Plag*2022*](https://md.research.elamur.ai/free/en/papers/eid-2022-maaloula-aramaic-speech-corpus-masc/)
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