---
title: "Germany — works, page 2"
description: "Works of Germany: 552 in our library · page 2 of 6, the most cited first."
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# Works of Germany

552 · page 2 of 6 · the most cited first · [← Germany](https://md.research.elamur.ai/free/en/countries/germany/)

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101. [**AdapterDrop: On the Efficiency of Adapters in Transformers**Andreas Rücklé, Gregor Geigle, Max Glockner, et al.*2021 · 294 citations*](https://md.research.elamur.ai/free/en/papers/ruckle-2021-adapterdrop-efficiency-adapters-transformers/)
102. [**An Efficient Method for Determining Bilingual Word Classes**Franz Josef Och*1999 · 288 citations*](https://md.research.elamur.ai/free/en/papers/och-1999-efficient-method-determining-bilingual-word/)
103. [**Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation**Sameer Pradhan, Xiaoqiang Luo, Marta Recasens, et al.*2014 · 284 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2014-scoring-coreference-partitions-predicted-mentions/)
104. [**Improvements in Phrase-Based Statistical Machine Translation**Richard Zens, Hermann Ney*2004 · 284 citations*](https://md.research.elamur.ai/free/en/papers/zens-2004-improvements-phrase-based-statistical-machine/)
105. [**A Statistical Parser for Czech**Michael Collins, Jan Hajic, Lance Ramshaw, et al.*1999 · 280 citations*](https://md.research.elamur.ai/free/en/papers/collins-1999-statistical-parser-czech/)
106. [**Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study**Yong Cao, Li Zhou, Seolhwa Lee, et al.*2023 · 278 citations*](https://md.research.elamur.ai/free/en/papers/cao-2023-assessing-cross-cultural-alignment-between/)
107. [**Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks**Nandan Thakur, Nils Reimers, Johannes Daxenberger, et al.*2021 · 275 citations*](https://md.research.elamur.ai/free/en/papers/thakur-2021-augmented-sbert-data-augmentation-method/)
108. [**UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures**Daniel Bär, Chris Biemann, Iryna Gurevych, et al.*2012 · 274 citations*](https://md.research.elamur.ai/free/en/papers/bar-2012-ukp-computing-semantic-textual-similarity/)
109. [**WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations**Seid Muhie Yimam, Iryna Gurevych, Richard Eckart de Castilho, et al.*2013 · 271 citations*](https://md.research.elamur.ai/free/en/papers/yimam-2013-webanno-flexible-web-based-visually/)
110. [**ConveRT: Efficient and Accurate Conversational Representations from Transformers**Matthew Henderson, Iñigo Casanueva, Nikola Mrkšić, et al.*2020 · 267 citations*](https://md.research.elamur.ai/free/en/papers/henderson-2020-convert-efficient-accurate-conversational-representations/)
111. [**An Analysis of Simple Data Augmentation for Named Entity Recognition**Xiang Dai, Heike Adel*2020 · 264 citations*](https://md.research.elamur.ai/free/en/papers/dai-2020-analysis-simple-data-augmentation-named/)
112. [**Neural End-to-End Learning for Computational Argumentation Mining**Steffen Eger, Johannes Daxenberger, Iryna Gurevych*2017 · 263 citations*](https://md.research.elamur.ai/free/en/papers/eger-2017-neural-end-end-learning-computational/)
113. [**Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2022 · 263 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/)
114. [**BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models**Nandan Thakur, Nils Reimers, Andreas Rücklé, et al.*2021 · 262 citations*](https://md.research.elamur.ai/free/en/papers/thakur-2021-beir-heterogenous-benchmark-zero/)
115. [**Findings of the VarDial Evaluation Campaign 2017**Marcos Zampieri, Shervin Malmasi, Nikola Ljubešić, et al.*2017 · 261 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2017-findings-vardial-evaluation-campaign/)
116. [**Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge**Todor Mihaylov, Anette Frank*2018 · 260 citations*](https://md.research.elamur.ai/free/en/papers/mihaylov-2018-knowledgeable-reader-enhancing-cloze-style/)
117. [**Experiments on the Automatic Induction of German Semantic Verb Classes**Schulte im Walde, Sabine*2006 · 259 citations*](https://md.research.elamur.ai/free/en/papers/walde-2006-experiments-automatic-induction-german-semantic/)
118. [**UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification**Andreas Hanselowski, Hao Zhang, Zile Li, et al.*2018 · 258 citations*](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-ukp-athene-multi-sentence-textual/)
119. [**LexGLUE: A Benchmark Dataset for Legal Language Understanding in English**Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras*2021 · 256 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-lexglue-benchmark-dataset-legal-language/)
120. [**BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages**Benjamin Heinzerling, Michael Strube*2018 · 256 citations*](https://md.research.elamur.ai/free/en/papers/heinzerling-2018-bpemb-tokenization-free-pre-trained/)
121. [**The SALSA Corpus: a German Corpus Resource for Lexical Semantics**Aljoscha Burchardt, Katrin Erk, Anette Frank, et al.*2006 · 255 citations*](https://md.research.elamur.ai/free/en/papers/burchardt-2006-salsa-corpus-german-corpus-resource/)
122. [**Estimation of Conditional Probabilities With Decision Trees and an Application to Fine-Grained POS Tagging**Helmut Schmid, Florian Laws*2008 · 254 citations*](https://md.research.elamur.ai/free/en/papers/schmid-2008-estimation-conditional-probabilities-decision-trees/)
123. [**Generating Datasets with Pretrained Language Models**Timo Schick, Hinrich Schutze*2021 · 250 citations*](https://md.research.elamur.ai/free/en/papers/schick-2021-generating-datasets-pretrained-language-models/)
124. [**SMOR: A German Computational Morphology Covering Derivation, Composition and Inflection**Helmut Schmid, Arne Fitschen, Ulrich Heid*2004 · 244 citations*](https://md.research.elamur.ai/free/en/papers/schmid-2004-smor-german-computational-morphology-covering/)
125. [**Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 244 citations*](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/)
126. [**Argumentation Mining in User-Generated Web Discourse**Ivan Habernal, Iryna Gurevych*2017 · 243 citations*](https://md.research.elamur.ai/free/en/papers/habernal-2017-argumentation-mining-user-generated-web/)
127. [**Factuality Challenges in the Era of Large Language Models**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 241 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/)
128. [**Classification and Clustering of Arguments with Contextualized Word Embeddings**Nils Reimers, Benjamin Schiller, Tilman Beck, et al.*2019 · 239 citations*](https://md.research.elamur.ai/free/en/papers/reimers-2019-classification-clustering-arguments-contextualized-word/)
129. [**YAGO3: A Knowledge Base from Multilingual Wikipedias**Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/mahdisoltani-2015-yago3-knowledge-base-multilingual-wikipedias/)
130. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
131. [**Cross-topic Argument Mining from Heterogeneous Sources**Christian Stab, Tristan Miller, Benjamin Schiller, et al.*2018 · 228 citations*](https://md.research.elamur.ai/free/en/papers/stab-2018-cross-topic-argument-mining-heterogeneous/)
132. [**TrustLLM: Trustworthiness in Large Language Models**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
133. [**MedAlpaca — An Open-Source Collection of Medical Conversational AI Models and Training Data**Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, et al.*2023 · 221 citations*](https://md.research.elamur.ai/free/en/papers/han-2023-medalpaca-open-source-collection-medical/)
134. [**Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection**Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/greshake-2023-ve-signed-up-compromising-real/)
135. [**Joint prediction in MST-style discourse parsing for argumentation mining**Andreas Peldszus, Manfred Stede*2015 · 219 citations*](https://md.research.elamur.ai/free/en/papers/peldszus-2015-joint-prediction-mst-style-discourse/)
136. [**The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants**Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, et al.*2018 · 217 citations*](https://md.research.elamur.ai/free/en/papers/habernal-2018-argument-reasoning-comprehension-task-identification/)
137. [**CharacTer: Translation Edit Rate on Character Level**Weiyue Wang, Jan-Thorsten Peter, Hendrik Rosendahl, et al.*2016 · 214 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-character-translation-edit-rate-character/)
138. [**TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task**Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig*2020 · 212 citations*](https://md.research.elamur.ai/free/en/papers/alt-2020-tacred-revisited-thorough-evaluation-tacred/)
139. [**Towards an ISO Standard for Dialogue Act Annotation**Harry Bunt, Jan Alexandersson, Jean Carletta, et al.*2010 · 210 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2010-iso-standard-dialogue-act-annotation/)
140. [**Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric**Nafise Sadat Moosavi, Michael Strube*2016 · 210 citations*](https://md.research.elamur.ai/free/en/papers/moosavi-2016-which-coreference-evaluation-metric-do/)
141. [**OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models**Anas Awadalla, Irena Gao, Josh Gardner, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/awadalla-2023-openflamingo-open-source-framework-training/)
142. [**Efficient Parsing of Highly Ambiguous Context-Free Grammars with Bit Vectors**Helmut Schmid*2004 · 209 citations*](https://md.research.elamur.ai/free/en/papers/schmid-2004-efficient-parsing-highly-ambiguous-context/)
143. [**Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP**Timo Schick, Sahana Udupa, Hinrich Schutze*2021 · 207 citations*](https://md.research.elamur.ai/free/en/papers/schick-2021-self-diagnosis-self-debiasing-proposal/)
144. [**The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions**Agata Savary, Carlos Ramisch, Silvio Cordeiro, et al.*2017 · 205 citations*](https://md.research.elamur.ai/free/en/papers/savary-2017-parseme-shared-task-automatic-identification/)
145. [**Nematus: a Toolkit for Neural Machine Translation**Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al.*2017 · 202 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-nematus-toolkit-neural-machine-translation/)
146. [**TL;DR: Mining Reddit to Learn Automatic Summarization**Michael Völske, Martin Potthast, Shahbaz Syed, et al.*2017 · 202 citations*](https://md.research.elamur.ai/free/en/papers/volske-2017-tl-dr-mining-reddit-learn/)
147. [**A Corpus of Turkish Offensive Language on Social Media**Çağrı Çöltekin*2020 · 200 citations*](https://md.research.elamur.ai/free/en/papers/coltekin-2020-corpus-turkish-offensive-language-social/)
148. [**Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information**Sonja Nießen, Hermann Ney*2004 · 197 citations*](https://md.research.elamur.ai/free/en/papers/niessen-2004-statistical-machine-translation-scarce-resources/)
149. [**BART: A Modular Toolkit for Coreference Resolution**Yannick Versley, Simone Paolo Ponzetto, Massimo Poesio, et al.*2008 · 197 citations*](https://md.research.elamur.ai/free/en/papers/versley-2008-bart-modular-toolkit-coreference-resolution/)
150. [**Creating a massively parallel Bible corpus**Thomas Mayer, Michael Cysouw*2014 · 196 citations*](https://md.research.elamur.ai/free/en/papers/mayer-2014-creating-massively-parallel-bible-corpus/)
151. [**Retrieval of the Best Counterargument without Prior Topic Knowledge**Henning Wachsmuth, Shahbaz Syed, Benno Stein*2018 · 196 citations*](https://md.research.elamur.ai/free/en/papers/wachsmuth-2018-retrieval-best-counterargument-without-prior/)
152. [**Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning**Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, et al.*2022 · 195 citations*](https://md.research.elamur.ai/free/en/papers/alabi-2022-adapting-pre-trained-language-models/)
153. [**Learning Morphology with Morfette**Grzegorz Chrupala, Georgiana Dinu, Josef van Genabith*2008 · 189 citations*](https://md.research.elamur.ai/free/en/papers/chrupala-2008-learning-morphology-morfette/)
154. [**A General, Abstract Model of Incremental Dialogue Processing**David Schlangen, Gabriel Skantze*2011 · 188 citations*](https://md.research.elamur.ai/free/en/papers/schlangen-2011-general-abstract-model-incremental-dialogue/)
155. [**Text: now in 2D! A framework for lexical expansion with contextual similarity**Chris Biemann, Martin Riedl*2013 · 185 citations*](https://md.research.elamur.ai/free/en/papers/biemann-2013-text-now-2d-framework-lexical/)
156. [**LawBench: Benchmarking Legal Knowledge of Large Language Models**Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.*2023 · 184 citations*](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/)
157. [**A Report on the DSL Shared Task 2014**Marcos Zampieri, Liling Tan, Nikola Ljubešić, et al.*2014 · 183 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2014-report-dsl-shared-task/)
158. [**ISO 24617-2: A semantically-based standard for dialogue annotation**Harry Bunt, Jan Alexandersson, Jae-Woong Choe, et al.*2012 · 182 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2012-iso-24617-2-semantically-based/)
159. [**Modeling Empathy and Distress in Reaction to News Stories**Sven Buechel, Anneke Buffone, Barry Slaff, et al.*2018 · 181 citations*](https://md.research.elamur.ai/free/en/papers/buechel-2018-modeling-empathy-distress-reaction-news/)
160. [**Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet**Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-findings-wmt24-general-machine-translation/)
161. [**DBpedia: A Multilingual Cross-domain Knowledge Base**Pablo Mendes, Max Jakob, Christian Bizer*2012 · 177 citations*](https://md.research.elamur.ai/free/en/papers/mendes-2012-dbpedia-multilingual-cross-domain-knowledge/)
162. [**Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models**Nora Kassner, Philipp Dufter, Hinrich Schütze*2021 · 175 citations*](https://md.research.elamur.ai/free/en/papers/kassner-2021-multilingual-lama-investigating-knowledge-multilingual/)
163. [**UNKs Everywhere: Adapting Multilingual Language Models to New Scripts**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2021 · 174 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/)
164. [**Unsupervised Recognition of Literal and Non-Literal Use of Idiomatic Expressions**Caroline Sporleder, Linlin Li*2009 · 173 citations*](https://md.research.elamur.ai/free/en/papers/sporleder-2009-unsupervised-recognition-literal-non-literal/)
165. [**Automatic Identification of Non-Compositional Multi-Word Expressions using Latent Semantic Analysis**Graham Katz, Eugenie Giesbrecht*2006 · 172 citations*](https://md.research.elamur.ai/free/en/papers/katz-2006-automatic-identification-non-compositional-multi/)
166. [**Lifting the Curse of Multilinguality by Pre-training Modular Transformers**Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.*2022 · 172 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2022-lifting-curse-multilinguality-pre-training/)
167. [**CDER: Efficient MT Evaluation Using Block Movements**Gregor Leusch, Nicola Ueffing, Hermann Ney*2006 · 171 citations*](https://md.research.elamur.ai/free/en/papers/leusch-2006-cder-efficient-mt-evaluation-block/)
168. [**Data Augmentation via Dependency Tree Morphing for Low-Resource Languages**Gözde Gül Şahin, Mark Steedman*2018 · 166 citations*](https://md.research.elamur.ai/free/en/papers/sahin-2018-data-augmentation-dependency-tree-morphing/)
169. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 166 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
170. [**Sustainable Modular Debiasing of Language Models**Anne Lauscher, Tobias Lueken, Goran Glavaš*2021 · 165 citations*](https://md.research.elamur.ai/free/en/papers/lauscher-2021-sustainable-modular-debiasing-language-models/)
171. [**Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution**Shany Barhom, Vered Shwartz, Alon Eirew, et al.*2019 · 164 citations*](https://md.research.elamur.ai/free/en/papers/barhom-2019-revisiting-joint-modeling-cross-document/)
172. [**Overview of the DSL Shared Task 2015**Marcos Zampieri, Liling Tan, Nikola Ljubešić, et al.*2015 · 164 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2015-overview-dsl-shared-task/)
173. [**AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages**Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, et al.*2022 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ebrahimi-2022-americasnli-evaluating-zero-shot-natural/)
174. [**The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)**Thiago Castro Ferreira, Claire Gardent, Nikolai Ilinykh, et al.*2020 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2020-2020-bilingual-bi-directional-webnlg/)
175. [**Joshua: An Open Source Toolkit for Parsing-Based Machine Translation**Zhifei Li, Chris Callison-Burch, Chris Dyer, et al.*2009 · 163 citations*](https://md.research.elamur.ai/free/en/papers/li-2009-joshua-open-source-toolkit-parsing/)
176. [**BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions**Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.*2024 · 163 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2024-bigcodebench-benchmarking-code-generation-diverse/)
177. [**Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features**Anders Björkelund, Jonas Kuhn*2014 · 162 citations*](https://md.research.elamur.ai/free/en/papers/bjorkelund-2014-learning-structured-perceptrons-coreference-resolution/)
178. [**Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change**Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann*2018 · 158 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2018-diachronic-usage-relatedness-durel-framework/)
179. [**I Feel Offended, Don't Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language**Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.*2020 · 157 citations*](https://md.research.elamur.ai/free/en/papers/caselli-2020-i-feel-offended-don-t/)
180. [**DGT-TM: A freely available Translation Memory in 22 languages**Ralf Steinberger, Andreas Eisele, Szymon Klocek, et al.*2012 · 156 citations*](https://md.research.elamur.ai/free/en/papers/steinberger-2012-dgt-tm-freely-available-translation/)
181. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/)
182. [**Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/)
183. [**GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval**Kexin Wang, Nandan Thakur, Nils Reimers, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-gpl-generative-pseudo-labeling-unsupervised/)
184. [**FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/)
185. [**Finding Hedges by Chasing Weasels: Hedge Detection Using Wikipedia Tags and Shallow Linguistic Features**Viola Ganter, Michael Strube*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/ganter-2009-finding-hedges-chasing-weasels-hedge/)
186. [**MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/)
187. [**Investigating Pretrained Language Models for Graph-to-Text Generation**Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/)
188. [**A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue**Michael Strube, Christoph Müller*2003 · 149 citations*](https://md.research.elamur.ai/free/en/papers/strube-2003-machine-learning-approach-pronoun-resolution/)
189. [**Evaluating Machine Translation Output with Automatic Sentence Segmentation**Evgeny Matusov, Gregor Leusch, Oliver Bender, et al.*2005 · 147 citations*](https://md.research.elamur.ai/free/en/papers/matusov-2005-evaluating-machine-translation-output-automatic/)
190. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/)
191. [**Collective Classification for Fine-grained Information Status**Katja Markert, Yufang Hou, Michael Strube*2012 · 144 citations*](https://md.research.elamur.ai/free/en/papers/markert-2012-collective-classification-fine-grained-information/)
192. [**An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews**Konstantin Buschmeier, Philipp Cimiano, Roman Klinger*2014 · 140 citations*](https://md.research.elamur.ai/free/en/papers/buschmeier-2014-impact-analysis-features-classification-approach/)
193. [**Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling**Alan Akbik, Laura Chiticariu, Marina Danilevsky, et al.*2015 · 138 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2015-generating-high-quality-proposition-banks/)
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