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ORCIDErik Velldal
2020 – today
- 2025
[c54]Jussi Karlgren, Ekaterina Artemova, Ondrej Bojar, Vladislav Mikhailov, Magnus Sahlgren, Erik Velldal, Lilja Øvrelid:
ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality, 2025 Edition. ECIR (5) 2025: 366-372- [i31]Samia Touileb
, Vladislav Mikhailov, Marie Kroka, Lilja Øvrelid, Erik Velldal:
Benchmarking Abstractive Summarisation: A Dataset of Human-authored Summaries of Norwegian News Articles. CoRR abs/2501.07718 (2025) - [i30]Vladislav Mikhailov, Petter Mæhlum, Victoria Ovedie Chruickshank Langø, Erik Velldal, Lilja Øvrelid:
A Collection of Question Answering Datasets for Norwegian. CoRR abs/2501.11128 (2025) - [i29]Egil Rønningstad, Lilja Charlotte Storset, Petter Mæhlum, Lilja Øvrelid, Erik Velldal:
Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback. CoRR abs/2501.19134 (2025) - [i28]Vladislav Mikhailov, Tita Ranveig Enstad, David Samuel, Hans Christian Farsethås, Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark. CoRR abs/2504.07749 (2025) - 2024
- [c53]Sondre Wold, Étienne Simon, Lucas Georges Gabriel Charpentier, Egor V. Kostylev, Erik Velldal, Lilja Øvrelid:
Compositional Generalization with Grounded Language Models. ACL (Findings) 2024: 3447-3460 - [c52]Helene Olsen, Étienne Simon, Erik Velldal, Lilja Øvrelid:
Socio-political Events of Conflict and Unrest: A Survey of Available Datasets. CASE 2024: 40-53 - [c51]Egil Rønningstad, Roman Klinger, Erik Velldal, Lilja Øvrelid:
Entity-Level Sentiment: More than the Sum of Its Parts. WASSA 2024: 84-96 - [i27]Petter Mæhlum, David Samuel, Rebecka Maria Norman, Elma Jelin, Øyvind Andresen Bjertnæs, Lilja Øvrelid, Erik Velldal:
It's Difficult to be Neutral - Human and LLM-based Sentiment Annotation of Patient Comments. CoRR abs/2404.18832 (2024) - [i26]Sondre Wold, Étienne Simon, Lucas Georges Gabriel Charpentier, Egor V. Kostylev, Erik Velldal, Lilja Øvrelid:
Compositional Generalization with Grounded Language Models. CoRR abs/2406.04989 (2024) - [i25]Egil Rønningstad, Roman Klinger, Erik Velldal, Lilja Øvrelid:
Entity-Level Sentiment: More than the Sum of Its Parts. CoRR abs/2407.03916 (2024) - [i24]David Samuel, Vladislav Mikhailov, Erik Velldal, Lilja Øvrelid, Lucas Georges Gabriel Charpentier, Andrey Kutuzov:
Small Languages, Big Models: A Study of Continual Training on Languages of Norway. CoRR abs/2412.06484 (2024) - [i23]Javier de la Rosa, Vladislav Mikhailov, Lemei Zhang, Freddy Wetjen, David Samuel, Peng Liu, Rolv-Arild Braaten, Petter Mæhlum, Magnus Breder Birkenes, Andrey Kutuzov, Tita Ranveig Enstad, Svein Arne Brygfjeld, Jon Atle Gulla, Stephan Oepen, Erik Velldal, Wilfred Østgulen, Lilja Øvrelid, Aslak Sira Myhre:
The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective. CoRR abs/2412.09460 (2024) - 2023
- [c50]David Samuel, Andrey Kutuzov, Lilja Øvrelid, Erik Velldal:
Trained on 100 million words and still in shape: BERT meets British National Corpus. EACL (Findings) 2023: 1909-1929 - [c49]Samia Touileb, Lilja Øvrelid, Erik Velldal:
Measuring Normative and Descriptive Biases in Language Models Using Census Data. EACL 2023: 2234-2240 - [c48]David Samuel, Andrey Kutuzov, Samia Touileb, Erik Velldal, Lilja Øvrelid, Egil Rønningstad, Elina Sigdel, Anna Palatkina:
NorBench - A Benchmark for Norwegian Language Models. NoDaLiDa 2023: 618-633 - [c47]Helene Olsen, Samia Touileb, Erik Velldal:
Arabic dialect identification: An in-depth error analysis on the MADAR parallel corpus. ArabicNLP 2023: 370-384 - [i22]David Samuel, Andrey Kutuzov, Lilja Øvrelid, Erik Velldal:
Trained on 100 million words and still in shape: BERT meets British National Corpus. CoRR abs/2303.09859 (2023) - [i21]Samia Touileb, Lilja Øvrelid, Erik Velldal:
Measuring Normative and Descriptive Biases in Language Models Using Census Data. CoRR abs/2304.05764 (2023) - [i20]Egil Rønningstad, Erik Velldal, Lilja Øvrelid:
Entity-Level Sentiment Analysis (ELSA): An exploratory task survey. CoRR abs/2304.14241 (2023) - [i19]David Samuel, Andrey Kutuzov, Samia Touileb, Erik Velldal, Lilja Øvrelid, Egil Rønningstad, Elina Sigdel, Anna Palatkina:
NorBench - A Benchmark for Norwegian Language Models. CoRR abs/2305.03880 (2023) - [i18]Sondre Wold, Lilja Øvrelid, Erik Velldal:
Text-To-KG Alignment: Comparing Current Methods on Classification Tasks. CoRR abs/2306.02871 (2023) - 2022
- [c46]David Samuel, Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal:
Direct parsing to sentiment graphs. ACL (2) 2022: 470-478 - [c45]Egil Rønningstad, Erik Velldal, Lilja Øvrelid:
Entity-Level Sentiment Analysis (ELSA): An Exploratory Task Survey. COLING 2022: 6773-6783 - [c44]Jeremy Barnes, Laura Oberländer, Enrica Troiano, Andrey Kutuzov, Jan Buchmann, Rodrigo Agerri, Lilja Øvrelid, Erik Velldal:
SemEval 2022 Task 10: Structured Sentiment Analysis. SemEval@NAACL 2022: 1280-1295 - [i17]David Samuel, Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal:
Direct parsing to sentiment graphs. CoRR abs/2203.13209 (2022) - [i16]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Contextualized language models for semantic change detection: lessons learned. CoRR abs/2209.00154 (2022) - 2021
- [j6]Jeremy Barnes, Erik Velldal, Lilja Øvrelid:
Improving sentiment analysis with multi-task learning of negation. Nat. Lang. Eng. 27(2): 249-269 (2021) - [c43]Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal:
Structured Sentiment Analysis as Dependency Graph Parsing. ACL/IJCNLP (1) 2021: 3387-3402 - [c42]Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
If you've got it, flaunt it: Making the most of fine-grained sentiment annotations. EACL 2021: 49-62 - [c41]Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen:
Large-Scale Contextualised Language Modelling for Norwegian. NoDaLiDa 2021: 30-40 - [c40]Petter Mæhlum, Jeremy Barnes, Robin Kurtz, Lilja Øvrelid, Erik Velldal:
Negation in Norwegian: an annotated dataset. NoDaLiDa 2021: 299-308 - [c39]Vinit Ravishankar, Andrey Kutuzov, Lilja Øvrelid, Erik Velldal:
Multilingual ELMo and the Effects of Corpus Sampling. NoDaLiDa 2021: 378-384 - [i15]Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
If you've got it, flaunt it: Making the most of fine-grained sentiment annotations. CoRR abs/2102.00299 (2021) - [i14]Andrey Kutuzov, Jeremy Barnes, Erik Velldal, Lilja Øvrelid, Stephan Oepen:
Large-Scale Contextualised Language Modelling for Norwegian. CoRR abs/2104.06546 (2021) - [i13]Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal:
Structured Sentiment Analysis as Dependency Graph Parsing. CoRR abs/2105.14504 (2021) - 2020
- [c38]Fredrik Jørgensen, Tobias Aasmoe, Anne-Stine Ruud Husevåg, Lilja Øvrelid, Erik Velldal:
NorNE: Annotating Named Entities for Norwegian. LREC 2020: 4547-4556 - [c37]Lilja Øvrelid, Petter Mæhlum, Jeremy Barnes, Erik Velldal:
A Fine-grained Sentiment Dataset for Norwegian. LREC 2020: 5025-5033 - [i12]Jeremy Barnes, Vinit Ravishankar, Lilja Øvrelid, Erik Velldal:
Hierarchical models vs. transfer learning for document-level sentiment classification. CoRR abs/2002.08131 (2020)
2010 – 2019
- 2019
- [c36]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
One-to-X Analogical Reasoning on Word Embeddings: a Case for Diachronic Armed Conflict Prediction from News Texts. LChange@ACL 2019: 196-201 - [c35]Julia Rodina, Daria Bakshandaeva, Vadim Fomin, Andrey Kutuzov, Samia Touileb, Erik Velldal:
Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian. LChange@ACL 2019: 202-209 - [c34]Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification. BlackboxNLP@ACL 2019: 12-23 - [c33]Hugo Lewi Hammer, Michael A. Riegler, Lilja Øvrelid, Erik Velldal:
THREAT: A Large Annotated Corpus for Detection of Violent Threats. CBMI 2019: 1-5 - [c32]Petter Mæhlum, Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian. NODALIDA 2019: 121-130 - [c31]Jeremy Barnes, Samia Touileb, Lilja Øvrelid, Erik Velldal:
Lexicon information in neural sentiment analysis: a multi-task learning approach. NODALIDA 2019: 175-186 - [c30]Vinit Ravishankar, Lilja Øvrelid, Erik Velldal:
Probing Multilingual Sentence Representations With X-Probe. RepL4NLP@ACL 2019: 156-168 - [i11]Vinit Ravishankar, Lilja Øvrelid, Erik Velldal:
Probing Multilingual Sentence Representations With X-Probe. CoRR abs/1906.05061 (2019) - [i10]Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
Sentiment analysis is not solved! Assessing and probing sentiment classification. CoRR abs/1906.05887 (2019) - [i9]Jeremy Barnes, Erik Velldal, Lilja Øvrelid:
Improving Sentiment Analysis with Multi-task Learning of Negation. CoRR abs/1906.07610 (2019) - [i8]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts. CoRR abs/1907.12674 (2019) - [i7]Fredrik Jørgensen, Tobias Aasmoe, Anne-Stine Ruud Husevåg, Lilja Øvrelid, Erik Velldal:
NorNE: Annotating Named Entities for Norwegian. CoRR abs/1911.12146 (2019) - [i6]Lilja Øvrelid, Petter Mæhlum, Jeremy Barnes, Erik Velldal:
A Fine-grained Sentiment Dataset for Norwegian. CoRR abs/1911.12722 (2019) - 2018
- [j5]Emanuele Lapponi, Martin G. Søyland, Erik Velldal, Stephan Oepen:
The Talk of Norway: a richly annotated corpus of the Norwegian parliament, 1998-2016. Lang. Resour. Evaluation 52(3): 873-893 (2018) - [c29]Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, Erik Velldal:
Diachronic word embeddings and semantic shifts: a survey. COLING 2018: 1384-1397 - [c28]Murhaf Fares, Stephan Oepen, Erik Velldal:
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation. EMNLP 2018: 1488-1498 - [c27]Erik Velldal, Lilja Øvrelid, Eivind Alexander Bergem, Cathrine Stadsnes, Samia Touileb, Fredrik Jørgensen:
NoReC: The Norwegian Review Corpus. LREC 2018 - [c26]Cathrine Stadsnes, Lilja Øvrelid, Erik Velldal:
Evaluating Semantic Vectors for Norwegian. NIK 2018 - [i5]Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, Erik Velldal:
Diachronic word embeddings and semantic shifts: a survey. CoRR abs/1806.03537 (2018) - [i4]Murhaf Fares, Stephan Oepen, Erik Velldal:
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation. CoRR abs/1809.06748 (2018) - 2017
- [c25]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Tracing armed conflicts with diachronic word embedding models. NEWS@ACL 2017: 31-36 - [c24]Richard Eckart de Castilho, Nancy Ide, Emanuele Lapponi, Stephan Oepen, Keith Suderman, Erik Velldal, Marc Verhagen:
Representation and Interchange of Linguistic Annotation. An In-Depth, Side-by-Side Comparison of Three Designs. LAW@ACL 2017: 67-75 - [c23]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants. EMNLP 2017: 1824-1829 - [c22]Erik Velldal, Lilja Øvrelid, Petter Hohle:
Joint UD Parsing of Norwegian Bokmål and Nynorsk. NODALIDA 2017: 1-10 - [c21]Petter Hohle, Lilja Øvrelid, Erik Velldal:
Optimizing a PoS Tagset for Norwegian Dependency Parsing. NODALIDA 2017: 142-151 - [c20]Murhaf Fares, Andrey Kutuzov, Stephan Oepen, Erik Velldal:
Word vectors, reuse, and replicability: Towards a community repository of large-text resources. NODALIDA 2017: 271-276 - [c19]Heidi Sand, Erik Velldal, Lilja Øvrelid:
Wordnet extension via word embeddings: Experiments on the Norwegian Wordnet. NODALIDA 2017: 298-302 - [i3]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants. CoRR abs/1707.08660 (2017) - [i2]Erik Velldal, Lilja Øvrelid, Eivind Alexander Bergem, Cathrine Stadsnes, Samia Touileb, Fredrik Jørgensen:
NoReC: The Norwegian Review Corpus. CoRR abs/1710.05370 (2017) - 2016
- [c18]Stephan Oepen, Jonathon Read, Tatjana Scheffler, Uladzimir Sidarenka, Manfred Stede, Erik Velldal, Lilja Øvrelid:
OPT: Oslo-Potsdam-Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing. CoNLL Shared Task 2016: 20-26 - [c17]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Redefining part-of-speech classes with distributional semantic models. CoNLL 2016: 115-125 - [c16]Jonathon Read, Erik Velldal, Marc Cavazza, Gersende Georg:
A Corpus of Clinical Practice Guidelines Annotated with the Importance of Recommendations. LREC 2016 - [c15]Aksel Wester, Lilja Øvrelid, Erik Velldal, Hugo Lewi Hammer:
Threat detection in online discussions. WASSA@NAACL-HLT 2016: 66-71 - [i1]Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Redefining part-of-speech classes with distributional semantic models. CoRR abs/1608.03803 (2016) - 2015
- [c14]Jostein Lien, Erik Velldal, Lilja Øvrelid:
Improving cross-domain dependency parsing with dependency-derived clusters. NODALIDA 2015: 117-126 - 2014
- [c13]Bjorn Hoyland, Jean-François Godbout, Emanuele Lapponi, Erik Velldal:
Predicting Party Affiliations from European Parliament Debates. LTCSS@ACL 2014: 56-60 - [c12]Emanuele Lapponi, Erik Velldal, Stephan Oepen, Rune Lain Knudsen:
Off-Road LAF: Encoding and Processing Annotations in NLP Workflows. LREC 2014: 4578-4584 - 2013
- [c11]Nikolay A. Vazov, Emanuele Lapponi, Erik Velldal, Stephan Oepen:
HPC-ready Language Analysis for Human Beings. NODALIDA 2013: 447-452 - 2012
- [j4]Erik Velldal, Lilja Øvrelid, Jonathon Read, Stephan Oepen:
Speculation and Negation: Rules, Rankers, and the Role of Syntax. Comput. Linguistics 38(2): 369-410 (2012) - [j3]Jonathon Read, Erik Velldal, Lilja Øvrelid:
Topic Classification for Suicidology. J. Comput. Sci. Eng. 6(2): 143-150 (2012) - [c10]Erik Velldal, Jonathon Read:
Factuality Detection on the Cheap: Inferring Factuality for Increased Precision in Detecting Negated Events. ExProM@ACL 2012: 28-36 - [c9]Jonathon Read, Erik Velldal, Lilja Øvrelid, Stephan Oepen:
UiO1: Constituent-Based Discriminative Ranking for Negation Resolution. *SEM@NAACL-HLT 2012: 310-318 - [c8]Emanuele Lapponi, Erik Velldal, Lilja Øvrelid, Jonathon Read:
UiO 2: Sequence-labeling Negation Using Dependency Features. *SEM@NAACL-HLT 2012: 319-327 - 2011
- [j2]Erik Velldal:
Predicting speculation: a simple disambiguation approach to hedge detection in biomedical literature. J. Biomed. Semant. 2(S-5): S7 (2011) - [j1]Francis Bond, Stephan Oepen, Eric Nichols, Dan Flickinger, Erik Velldal, Petter Haugereid:
Deep open-source machine translation. Mach. Transl. 25(2): 87-105 (2011) - [c7]Erik Velldal:
Random Indexing Re-Hashed. NODALIDA 2011: 224-229 - 2010
- [c6]Lilja Øvrelid, Erik Velldal, Stephan Oepen:
Syntactic Scope Resolution in Uncertainty Analysis. COLING 2010: 1379-1387 - [c5]Erik Velldal, Lilja Øvrelid, Stephan Oepen:
Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules. CoNLL Shared Task 2010: 48-55 - [c4]Erik Velldal:
Detecting uncertainty in biomedical literature: a simple disambiguation approach using sparse random indexing. Semantic Mining in Biomedicine 2010
2000 – 2009
- 2009
- [b1]Erik Velldal:
Empirical Realization Ranking. University of Oslo, Norway, 2009 - 2007
- [c3]Stephan Oepen, Erik Velldal, Jan Tore Lønning, Paul Meurer, Victoria Rosén, Dan Flickinger:
Towards hybrid quality-oriented machine translation - on linguistics and probabilities in MT. TMI 2007 - 2006
- [c2]Erik Velldal, Stephan Oepen:
Statistical Ranking in Tactical Generation. EMNLP 2006: 517-525 - 2005
- [c1]Erik Velldal, Stephan Oepen:
Maximum Entropy Models for Realization Ranking. MTSummit 2005: 109-116
Coauthor Index
[c54] [i31] [i30] [i29] [i28] [c53] [c52] [c51] [i27] [i26] [i25] [i24] [i23] [c50] [c49] [c48] [i22] [i21] [i20] [i19] [i18] [c46] [c45] [c44] [i17] [i16] [j6] [c43] [c42] [c41] [c40] [c39] [i15] [i14] [i13] [c38] [c37] [i12] [c36] [c34] [c33] [c32] [c31] [c30] [i11] [i10] [i9] [i8] [i7] [i6] [c29] [c27] [c26] [i5] [c25] [c23] [c22] [c21] [c19] [i3] [i2] [c18] [c17] [c15] [i1] [c14] [j4] [j3] [c9] [c8] [c6] [c5]
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