---
title: "Rhine-Neckar — works of 2020: 6 papers, the most cited first"
description: "6 works of Rhine-Neckar from 2020 in our library, the most cited first. Among them: MAD-X: An Adapter-Based Framework for Multi-Task…"
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# Works of Rhine-Neckar from 2020

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

1. **[MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-mad-x-adapter-based-framework/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2020 · 833 citations*
2. **[XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/ponti-2020-xcopa-multilingual-dataset-causal-commonsense/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, et al.*2020 · 465 citations*
3. **[Probing Pretrained Language Models for Lexical Semantics](https://md.research.elamur.ai/free/en/papers/vulic-2020-probing-pretrained-language-models-lexical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, et al.*2020 · 320 citations*
4. **[ConveRT: Efficient and Accurate Conversational Representations from Transformers](https://md.research.elamur.ai/free/en/papers/henderson-2020-convert-efficient-accurate-conversational-representations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Matthew Henderson, Iñigo Casanueva, Nikola Mrkšić, et al.*2020 · 268 citations*
5. **[Unsupervised stance detection for arguments from consequences](https://md.research.elamur.ai/free/en/papers/kobbe-2020-unsupervised-stance-detection-arguments-consequences/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonathan Kobbe, Ioana Hulpuș, Heiner Stuckenschmidt*2020 · 38 citations*
6. [**Lemmatising Verbs in Middle English Corpora: The Benefit of Enriching the Penn-Helsinki Parsed Corpus of Middle English 2 (PPCME2), the Parsed Corpus of Middle English Poetry (PCMEP), and A Parsed Linguistic Atlas of Early Middle English (PLAEME)**Carola Trips, Michael Percillier*2020 · 3 citations*](https://md.research.elamur.ai/free/en/papers/trips-2020-lemmatising-verbs-middle-english-corpora/)
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