---
title: "Technische Universität Darmstadt — works"
description: "58 works by researchers of Technische Universität Darmstadt in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/technische-universitat-darmstadt/works/"
---
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# Works of Technische Universität Darmstadt

58 works · the most cited first · [← Technische Universität Darmstadt](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/)

1. [**Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation**Nils Reimers, Iryna Gurevych*2020 · 1,320 citations*](https://md.research.elamur.ai/free/en/papers/reimers-2020-making-monolingual-sentence-embeddings-multilingual/)
2. [**AdapterFusion: Non-Destructive Task Composition for Transfer Learning**Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al.*2020 · 948 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterfusion-non-destructive-task-composition/)
3. [**MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2020 · 831 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-mad-x-adapter-based-framework/)
4. [**MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance**Wei Zhao, Maxime Peyrard, Fei Liu, et al.*2019 · 822 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2019-moverscore-text-generation-evaluating-contextualized/)
5. [**AdapterHub: A Framework for Adapting Transformers**Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al.*2020 · 747 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterhub-framework-adapting-transformers/)
6. [**Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging**Nils Reimers, Iryna Gurevych*2017 · 648 citations*](https://md.research.elamur.ai/free/en/papers/reimers-2017-reporting-score-distributions-makes-difference/)
7. [**Parsing Argumentation Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2017 · 613 citations*](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/)
8. [**Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields**Niklas Jakob, Iryna Gurevych*2010 · 545 citations*](https://md.research.elamur.ai/free/en/papers/jakob-2010-extracting-opinion-targets-single-cross/)
9. [**Breaking NLI Systems with Sentences that Require Simple Lexical Inferences**Max Glockner, Vered Shwartz, Yoav Goldberg*2018 · 517 citations*](https://md.research.elamur.ai/free/en/papers/glockner-2018-breaking-nli-systems-sentences-that/)
10. [**Identifying Argumentative Discourse Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2014 · 517 citations*](https://md.research.elamur.ai/free/en/papers/stab-2014-identifying-argumentative-discourse-structures-persuasive/)
11. [**Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference**Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.*2019 · 444 citations*](https://md.research.elamur.ai/free/en/papers/falke-2019-ranking-generated-summaries-correctness-interesting/)
12. [**How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models**Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/)
13. [**The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation**Jan-Christoph Klie, Michael Bugert, Beto Boullosa, et al.*2018 · 422 citations*](https://md.research.elamur.ai/free/en/papers/klie-2018-inception-platform-machine-assisted-knowledge/)
14. [**Annotating Argument Components and Relations in Persuasive Essays**Christian Stab, Iryna Gurevych*2014 · 403 citations*](https://md.research.elamur.ai/free/en/papers/stab-2014-annotating-argument-components-relations-persuasive/)
15. [**The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text**Richárd Farkas, Veronika Vincze, György Móra, et al.*2010 · 370 citations*](https://md.research.elamur.ai/free/en/papers/farkas-2010-conll-2010-shared-task-learning/)
16. [**Do Supervised Distributional Methods Really Learn Lexical Inference Relations?**Omer Levy, Steffen Remus, Chris Biemann, et al.*2015 · 325 citations*](https://md.research.elamur.ai/free/en/papers/levy-2015-do-supervised-distributional-methods-really/)
17. [**Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM**Ivan Habernal, Iryna Gurevych*2016 · 302 citations*](https://md.research.elamur.ai/free/en/papers/habernal-2016-which-argument-is-more-convincing/)
18. [**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/)
19. [**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/)
20. [**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/)
21. [**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/)
22. [**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/)
23. [**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/)
24. [**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/)
25. [**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/)
26. [**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/)
27. [**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/)
28. [**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/)
29. [**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/)
30. [**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/)
31. [**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/)
32. [**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/)
33. [**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/)
34. [**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/)
35. [**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/)
36. [**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/)
37. [**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/)
38. [**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/)
39. [**A Retrospective Analysis of the Fake News Challenge Stance-Detection Task**Andreas Hanselowski, Avinesh PVS, Benjamin Schiller, et al.*2018 · 132 citations*](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-retrospective-analysis-fake-news-challenge/)
40. [**MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems**Jakub Macina, Nico Daheim, Sankalan Chowdhury, et al.*2023 · 130 citations*](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/)
41. [**Out-of-domain FrameNet Semantic Role Labeling**Silvana Hartmann, Ilia Kuznetsov, Teresa Martin, et al.*2017 · 82 citations*](https://md.research.elamur.ai/free/en/papers/hartmann-2017-out-domain-framenet-semantic-role/)
42. [**Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages**Oliver Ferschke, Iryna Gurevych, Yevgen Chebotar*2012 · 81 citations*](https://md.research.elamur.ai/free/en/papers/ferschke-2012-behind-article-recognizing-dialog-acts/)
43. [**Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future**Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych*2023 · 73 citations*](https://md.research.elamur.ai/free/en/papers/klie-2023-annotation-error-detection-analyzing-past/)
44. [**IMPLI: Investigating NLI Models' Performance on Figurative Language**Kevin Stowe, Prasetya Utama, Iryna Gurevych*2022 · 68 citations*](https://md.research.elamur.ai/free/en/papers/stowe-2022-impli-investigating-nli-models-performance/)
45. [**DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence**Wei Zhao, Michael Strube, Steffen Eger*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-discoscore-evaluating-text-generation-bert/)
46. [**Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization**Tobias Falke, Christian M. Meyer, Iryna Gurevych*2017 · 43 citations*](https://md.research.elamur.ai/free/en/papers/falke-2017-concept-map-based-multi-document/)
47. [**Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora**Michael Bugert, Nils Reimers, Iryna Gurevych*2021 · 33 citations*](https://md.research.elamur.ai/free/en/papers/bugert-2021-generalizing-cross-document-event-coreference/)
48. [**To Exhibit is not to Loiter: A Multilingual, Sense-Disambiguated Wiktionary for Measuring Verb Similarity**Christian M. Meyer, Iryna Gurevych*2012 · 29 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2012-sense-disambiguated-wiktionary/)
49. [**FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection**Silvana Hartmann, Iryna Gurevych*2013 · 26 citations*](https://md.research.elamur.ai/free/en/papers/hartmann-2013-framenet-way-babel-creating-bilingual/)
50. [**Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection**Nafise Sadat Moosavi, Leo Born, Massimo Poesio, et al.*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/moosavi-2019-automatically-extracted-minimum-spans-disentangle/)
51. [**BinLin: A Simple Method of Dependency Tree Linearization**Yevgeniy Puzikov, Iryna Gurevych*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/puzikov-2018-binlin-simple-method-dependency-tree/)
52. [**Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution**Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, et al.*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-free-plural-unrestricted-split-antecedent/)
53. [**Stay Together: A System for Single and Split-antecedent Anaphora Resolution**Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, et al.*2021 · 17 citations*](https://md.research.elamur.ai/free/en/papers/yu-2021-stay-together-system-single-split/)
54. [**Revisiting Selectional Preferences for Coreference Resolution**Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube*2017 · 14 citations*](https://md.research.elamur.ai/free/en/papers/heinzerling-2017-revisiting-selectional-preferences-coreference-resolution/)
55. [**Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News**Michael Bugert, Iryna Gurevych*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/bugert-2021-event-coreference-data-almost-free/)
56. [**WordNet—Wikipedia—Wiktionary: Construction of a Three-way Alignment**Tristan Miller, Iryna Gurevych*2014 · 11 citations*](https://md.research.elamur.ai/free/en/papers/miller-2014-wordnet-wikipedia-wiktionary/)
57. [**Coreference Reasoning in Machine Reading Comprehension**Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/wu-2021-coreference-reasoning-machine-reading-comprehension/)
58. [**Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews**Nils Dycke, Ilia Kuznetsov, Iryna Gurevych*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/dycke-2023-overview-pragtag-2023-low-resource/)
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