---
title: "Norway — works"
description: "Works of Norway: 42 in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/countries/norway/works/"
---
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# Works of Norway

42 · the most cited first · [← Norway](https://md.research.elamur.ai/free/en/countries/norway/)

1. [**OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles**Pierre Lison, Jörg Tiedemann*2016 · 1,098 citations*](https://md.research.elamur.ai/free/en/papers/lison-2016-opensubtitles2016-extracting-large-parallel-corpora/)
2. [**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/)
3. [**Using Convolutional Neural Networks to Classify Hate-Speech**Björn Gambäck, Utpal Kumar Sikdar*2017 · 647 citations*](https://md.research.elamur.ai/free/en/papers/gamback-2017-convolutional-neural-networks-classify-hate/)
4. [**CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Martin Popel, Milan Straka, et al.*2017 · 604 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2017-conll-2017-shared-task-multilingual/)
5. [**The Parallel Grammar Project**Miriam Butt, Helge Dyvik, Tracy Holloway King, et al.*2002 · 392 citations*](https://md.research.elamur.ai/free/en/papers/butt-2002-parallel-grammar-project/)
6. [**Diachronic word embeddings and semantic shifts: a survey**Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, et al.*2018 · 282 citations*](https://md.research.elamur.ai/free/en/papers/kutuzov-2018-diachronic-word-embeddings-semantic-shifts/)
7. [**SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!**Chhavi Sharma, Deepesh Bhageria, William Scott, et al.*2020 · 260 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2020-semeval-2020-task-8-memotion/)
8. [**SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets**Parth Patwa, Gustavo Aguilar, Sudipta Kar, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/patwa-2020-semeval-2020-task-9-overview/)
9. [**OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora**Pierre Lison, Jörg Tiedemann, Milen Kouylekov*2018 · 235 citations*](https://md.research.elamur.ai/free/en/papers/lison-2018-opensubtitles2018-statistical-rescoring-sentence-alignments/)
10. [**A Regression Model of Adjective-Noun Compositionality in Distributional Semantics**Emiliano Guevara*2010 · 203 citations*](https://md.research.elamur.ai/free/en/papers/guevara-2010-regression-model-adjective-noun-compositionality/)
11. [**Discriminant-Based MRS Banking**Stephan Oepen, Jan Tore Lønning*2006 · 184 citations*](https://md.research.elamur.ai/free/en/papers/oepen-2006-discriminant-based-mrs-banking/)
12. [**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/)
13. [**Road-testing the English Resource Grammar Over the British National Corpus**Timothy Baldwin, Emily M. Bender, Dan Flickinger, et al.*2004 · 95 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2004-road-testing-english-resource-grammar/)
14. [**Sentence Boundary Detection: A Long Solved Problem?**Jonathon Read, Rebecca Dridan, Stephan Oepen, et al.*2012 · 81 citations*](https://md.research.elamur.ai/free/en/papers/read-2012-sentence-boundary-detection-long-solved/)
15. [**Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus**Emily M. Bender, Dan Flickinger, Stephan Oepen, et al.*2011 · 53 citations*](https://md.research.elamur.ai/free/en/papers/bender-2011-parser-evaluation-over-local-non/)
16. [**Tokenization: Returning to a Long Solved Problem – A Survey, Contrastive Experiment, Recommendations, and Toolkit**Rebecca Dridan, Stephan Oepen*2012 · 43 citations*](https://md.research.elamur.ai/free/en/papers/dridan-2012-tokenization-returning-long-solved-problem/)
17. [**Anticausatives are semantically reflexive in Norwegian, but not in English**Björn Lundquist, Martin Corley, Mai Tungseth, et al.*2016 · 41 citations*](https://md.research.elamur.ai/free/en/papers/lundquist-2016-anticausatives-are-semantically-reflexive-norwegian/)
18. [**Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis**Mario Giulianelli, Iris Luden, Raquel Fernandez, et al.*2023 · 40 citations*](https://md.research.elamur.ai/free/en/papers/giulianelli-2023-definition-generation-senses/)
19. [**The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers**Murhaf Fares, Stephan Oepen, Lilja Øvrelid, et al.*2018 · 27 citations*](https://md.research.elamur.ai/free/en/papers/fares-2018-2018-shared-task-extrinsic-parser/)
20. [**OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing**Stephan Oepen, Jonathon Read, Tatjana Scheffler, et al.*2016 · 26 citations*](https://md.research.elamur.ai/free/en/papers/oepen-2016-opt-oslo-potsdam-teesside-pipelining/)
21. [**An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)**Laurie Burchell, Ona de Gibert, Nikolay Arefyev, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/burchell-2025-expanded-massive-multilingual-dataset-high/)
22. [**What brings a higher-order entity into focus of attention? Sentential pronouns in English and Norwegian.**Kaja Borthen, Thorstein Fretheim*1997 · 19 citations*](https://md.research.elamur.ai/free/en/papers/borthen-1997-what-brings-higher-order-entity/)
23. [**MWEs in Treebanks: From Survey to Guidelines**Victoria Rosén, Koenraad De Smedt, Gyri Smørdal Losnegaard, et al.*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/rosen-2016-mwes-treebanks-survey-guidelines/)
24. [**The lexical pragmatics of count-mass polysemy**Ingrid L. Falkum*2017 · 13 citations*](https://md.research.elamur.ai/free/en/papers/falkum-2017-lexical-pragmatics-count-mass-polysemy/)
25. [**What can we learn from Semantic Tagging?**Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, et al.*2018 · 11 citations*](https://md.research.elamur.ai/free/en/papers/abdou-2018-what-can-we-learn-semantic/)
26. [**DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs**Lasha Abzianidze, Johan Bos, Stephan Oepen*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2020-drs-mrp-2020-dressing-up/)
27. [**Critical Reflections on Evaluation Practices in Coreference Resolution**Gordana Ilić Holen*2013 · 11 citations*](https://md.research.elamur.ai/free/en/papers/holen-2013-critical-reflections-evaluation-practices-coreference/)
28. [**NARC – Norwegian Anaphora Resolution Corpus**Petter Mæhlum, Dag Haug, Tollef Jørgensen, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/maehlum-2022-narc-norwegian-anaphora-resolution-corpus/)
29. [**The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks**Dominik Schlechtweg, Sachin Yadav, Jonas Kuhn, et al.*2026 · 6 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2026-lscd-benchmark-testbed-diachronic-word/)
30. [**Stones on Display in Joshua 6: The Linguistic Tree Constructor as a "Persuasive Technology"**Nicolai Winther-Nielsen*2012 · 3 citations*](https://md.research.elamur.ai/free/en/papers/winther-nielsen-2012-stones-display-joshua-6-linguistic/)
31. [**Noun phrases in early Germanic languages**Kristin Bech, Pfaff Alexander*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bech-2024-noun-phrases-early-germanic/)
32. [**The Corpus as Tutor: Data-driven Persuasive Language Learning**Nicolai Winther-Nielsen*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/winther-nielsen-2017-corpus-tutor-data-driven-persuasive/)
33. [**Interfacing the Hebrew Bible: past, present and future applications for the BHSA**Nicolai Winther-Nielsen*2019 · 1 citation*](https://md.research.elamur.ai/free/en/papers/winther-nielsen-2019-interfacing-hebrew-bible-past-present/)
34. [**Identifying Phrase Boundaries in the Samaritan Pentateuch with Machine Learning**Saulo de Oliveira Cantanhede, Martijn Naaijer, Christian Canu Højgaard, et al.*2026*](https://md.research.elamur.ai/free/en/papers/cantanhede-2026-identifying-phrase-boundaries-samaritan-pentateuch/)
35. [**Metre and clitics in Old English and Old Saxon**Nelson Goering*2025*](https://md.research.elamur.ai/free/en/papers/goering-2025-metre-clitics-old-english-old/)
36. [**Corpus-Driven Visualization of Textual Worlds**Jens Bruun Kofoed*2017*](https://md.research.elamur.ai/free/en/papers/kofoed-2017-corpus-driven-visualization-textual-worlds/)
37. [**Evaluation of Multilingual Text Simplification for the Mental Health Domain: Exploring Small Language Models**Olga Pelloni, Sandra Just, Lars Bongo*2026*](https://md.research.elamur.ai/free/en/papers/pelloni-2026-evaluation-multilingual-text-simplification-mental/)
38. [**Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation**Shenbin Qian, Yves Scherrer*2026*](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/)
39. [**Top Notch Participant Tracking in the Hebrew Bible**Nicolai Winther-Nielsen*2016*](https://md.research.elamur.ai/free/en/papers/winther-nielsen-2016-top-notch-participant-tracking-hebrew/)
40. [**Corpus-driven visualization, learning and linguistics**Nicolai Winther-Nielsen*2017*](https://md.research.elamur.ai/free/en/papers/winther-nielsen-2017-corpus-driven-visualization-learning-linguistics/)
41. [**Historical linguistics and linguistic dating of the Hebrew Bible 2015–2018: The Rezetko and Young assessment of the status quaestionis**Nicolai Winther-Nielsen*2019*](https://md.research.elamur.ai/free/en/papers/winther-nielsen-2019-historical-linguistics-linguistic-dating-hebrew/)
42. [**Measuring Idiomaticity in Text Embedding Models with epsilon-compositionality**Sondre Wold, Étienne Simon, Erik Velldal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wold-2026-measuring-idiomaticity-text-embedding-models/)
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