Erik Velldal

发表

Word vectors, reuse, and replicability: Towards a community repository of large-text resources

Murhaf Fares, Stephan Oepen, Erik Velldal, 2017, NODALIDA.

The 2017 Shared Task on Extrinsic Parser Evaluation Towards a Reusable Community Infrastructure

Jari Björne, Filip Ginter, Lilja Øvrelid, .

HPC-ready Language Analysis for Human Beings

Stephan Oepen, Erik Velldal, Emanuele Lapponi, 2013, NODALIDA.

THREAT: A Large Annotated Corpus for Detection of Violent Threats

Erik Velldal, Lilja Øvrelid, Hugo L. Hammer, 2019, 2019 International Conference on Content-Based Multimedia Indexing (CBMI).

Random Indexing ReHashed

Erik Velldal, 2011 .

Empirical Realization Ranking

Erik Velldal, Erik Velldal, 2009 .

Towards large-scale language analysis in the cloud

Stephan Oepen, Erik Velldal, Emanuele Lapponi, 2013 .

DL4NLP 2019 Proceedings of the First NLPL Workshop on Deep Learning for Natural Language Processing

Miryam de Lhoneux, Jenna Kanerva, Juhani Luotolahti, 2019 .

Multilingual Probing of Deep Pre-Trained Contextual Encoders

Lilja Øvrelid, Vinit Ravishankar, Erik Velldal, 2019 .

Towards hybrid quality-oriented machine translation – on linguistics and probabilities in MT

Jan Tore Lønning, Jan Tore Lønning, S. Oepen, 2007, TMI.

Gender and sentiment, critics and authors: a dataset of Norwegian book reviews

Lilja Øvrelid, Erik Velldal, Samia Touileb, 2020, GEBNLP.

Paraphrasing Treebanks for Stochastic Realization Ranking

S. Oepen, D. Flickinger, Erik Velldal, 2004 .

Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features

Lilja Øvrelid, Erik Velldal, J. Read, 2012, Biomedical informatics insights.

Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian

Andrey Kutuzov, Erik Velldal, Samia Touileb, 2019, LChange@ACL.

Som å kapp-ete med trollet? – Towards MRS-based Norwegian-English machine translation

Jan Tore Lønning, Jan Tore Lønning, S. Oepen, 2004, TMI.

SemEval 2022 Task 10: Structured Sentiment Analysis

Lilja Øvrelid, Rodrigo Agerri, Andrey Kutuzov, 2022, SEMEVAL.

Contextualized embeddings for semantic change detection: Lessons learned

Lilja Øvrelid, Andrey Kutuzov, Erik Velldal, 2022, NEJLT.

Direct parsing to sentiment graphs

S. Oepen, Erik Velldal, Robin Kurtz, 2022, ACL.

Occupational Biases in Norwegian and Multilingual Language Models

Lilja Øvrelid, Erik Velldal, Samia Touileb, 2022, GEBNLP.

Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification pdf

Erik Velldal, Lilja Øvrelid, Jeremy Barnes, 2019, BlackboxNLP@ACL.

A Fuzzy Clustering Approach to Word Sense Discrimination

Erik Velldal, ERIK VELLDAL, 2005 .

Diachronic word embeddings and semantic shifts: a survey

Erik Velldal, Lilja Øvrelid, Andrey Kutuzov, 2018, COLING.

Modeling word senses with fuzzy clustering

Erik Velldal, Erik Velldal, 2003 .

Improving sentiment analysis with multi-task learning of negation pdf

Erik Velldal, Lilja Øvrelid, Jeremy Barnes, 2019, Natural Language Engineering.

Lexicon information in neural sentiment analysis: a multi-task learning approach

Erik Velldal, Lilja Øvrelid, Samia Touileb, 2019, NODALIDA.

Trained on 100 million words and still in shape: BERT meets British National Corpus

Lilja Øvrelid, Andrey Kutuzov, Erik Velldal, 2023, ArXiv.

Deep open-source machine translation

Eric Nichols, Stephan Oepen, Erik Velldal, 2011, Machine Translation.

Trained on 100 million words and still in shape: BERT meets British National Corpus

Lilja Øvrelid, Andrey Kutuzov, Erik Velldal, 2023, FINDINGS.

NorBench – A Benchmark for Norwegian Language Models

Andrey Kutuzov, Erik Velldal, Samia Touileb, 2023, NODALIDA.

Large-Scale Contextualised Language Modelling for Norwegian

Stephan Oepen, Erik Velldal, Jeremy Barnes, 2021, NODALIDA.

Predicting speculation: a simple disambiguation approach to hedge detection in biomedical literature

Erik Velldal, Erik Velldal, 2011, J. Biomed. Semant..

Detecting uncertainty in biomedical literature: a simple disambiguation approach using sparse random indexing

Erik Velldal, Erik Velldal, 2010, Semantic Mining in Biomedicine.

A Fine-grained Sentiment Dataset for Norwegian

Erik Velldal, Lilja Ovrelid, Jeremy Barnes, 2019, LREC.

Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian

Erik Velldal, Lilja Øvrelid, Petter Mæhlum, 2019, NODALIDA.

An open-source tool for negation detection: a maximum-margin approach

Erik Velldal, Lilja Øvrelid, Martine Enger, 2017 .

Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules

Stephan Oepen, Erik Velldal, Lilja Øvrelid, 2010, CoNLL Shared Task.

Joint UD Parsing of Norwegian Bokmål and Nynorsk

Erik Velldal, Lilja Øvrelid, Petter Hohle, 2017, NODALIDA.

Statistical Ranking in Tactical Generation

Stephan Oepen, Erik Velldal, S. Oepen, 2006, EMNLP.

Paraphrasing Treebanks for Stochastic Realization Ranking

S. Oepen, D. Flickinger, Erik Velldal, 2004 .

Structured Sentiment Analysis as Dependency Graph Parsing

Stephan Oepen, Erik Velldal, Jeremy Barnes, 2021, ACL.

Text-To-KG Alignment: Comparing Current Methods on Classification Tasks

Erik Velldal, Lilja Ovrelid, Sondre Wold, 2023, arXiv.org.

Optimizing a PoS Tagset for Norwegian Dependency Parsing

Erik Velldal, Lilja Øvrelid, Petter Hohle, 2017, NODALIDA.

Speculation and Negation: Rules, Rankers, and the Role of Syntax

Stephan Oepen, Erik Velldal, Lilja Øvrelid, 2012, CL.

NARC – Norwegian Anaphora Resolution Corpus

Per Erik Solberg, D. Haug, Lilja Øvrelid, 2022, CRAC.

NorNE: Annotating Named Entities for Norwegian

Anne-Stine Ruud Husevaag, Fredrik Jørgensen, Erik Velldal, 2019, LREC.

NoReC: The Norwegian Review Corpus pdf

Erik Velldal, Lilja Øvrelid, Samia Touileb, 2017, LREC.

Syntactic Scope Resolution in Uncertainty Analysis

Stephan Oepen, Erik Velldal, Lilja Øvrelid, 2010, COLING.

The Talk of Norway: a richly annotated corpus of the Norwegian parliament, 1998–2016

Stephan Oepen, Erik Velldal, Emanuele Lapponi, 2018, Lang. Resour. Evaluation.

Probing Multilingual Sentence Representations With X-Probe

Erik Velldal, Lilja Øvrelid, Vinit Ravishankar, 2019, RepL4NLP@ACL.

LOGON — A Norwegian MT Effort

Stephan Oepen, Erik Velldal, Dan Flickinger, 2004 .

Somå Kapp-ete Med Trollet? * — towards Mrs-based Norwegian – English Machine Translation —

Stephan Oepen, Erik Velldal, Dan Flickinger, 2004 .

A Diagnostic Dataset for Sentiment and Negation Modeling for Norwegian

Lilja Øvrelid, Erik Velldal, Petter Mæhlum, 2023, RESOURCEFUL.

Measuring Normative and Descriptive Biases in Language Models Using Census Data

Erik Velldal, Samia Touileb, Lilja Ovrelid, 2023, EACL.

Using Gender- and Polarity-Informed Models to Investigate Bias

Lilja Øvrelid, Erik Velldal, Samia Touileb, 2021, GEBNLP.

Tracing armed conflicts with diachronic word embedding models

Erik Velldal, Lilja Øvrelid, Andrey Kutuzov, 2017, NEWS@ACL.

UiO1: Constituent-Based Discriminative Ranking for Negation Resolution

Stephan Oepen, Erik Velldal, Lilja Øvrelid, 2012, *SEMEVAL.

UiO 2: Sequence-labeling Negation Using Dependency Features

Erik Velldal, Lilja Øvrelid, Jonathon Read, 2012, *SEMEVAL.

Topic Classification for Suicidology

Lilja Øvrelid, Erik Velldal, Jonathon Read, 2012, J. Comput. Sci. Eng..

A Corpus of Clinical Practice Guidelines Annotated with the Importance of Recommendations

Marc Cavazza, Erik Velldal, Jonathon Read, 2016, LREC.

Classification for Suicidology Jonathon

Erik Velldal, Lilja Øvrelid, Jonathon Read, 2011 .

Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants

Erik Velldal, Lilja Øvrelid, Andrey Kutuzov, 2017, EMNLP.

Redefining part-of-speech classes with distributional semantic models

Erik Velldal, Lilja Øvrelid, Andrey Kutuzov, 2016, CoNLL.

Socio-political Events of Conflict and Unrest: A Survey of Available Datasets

Lilja Øvrelid, Erik Velldal, Helene Olsen, 2024, CASE.