1 code implementation • ACL 2021 • Pierre Lison, Ildik{\'o} Pil{\'a}n, David Sanchez, Montserrat Batet, Lilja {\O}vrelid
This position paper investigates the problem of automated text anonymisation, which is a prerequisite for secure sharing of documents containing sensitive information about individuals.
no code implementations • LREC 2020 • Ildiko Pilan, P{\aa}l H. Brekke, Lilja {\O}vrelid
We present a large Norwegian lexical resource of categorized medical terms.
no code implementations • LREC 2020 • Maja Buljan, Joakim Nivre, Stephan Oepen, Lilja {\O}vrelid
We discuss methodological choices in contrastive and diagnostic evaluation in meaning representation parsing, i. e. mapping from natural language utterances to graph-based encodings of its semantic structure.
no code implementations • WS 2019 • Farhad Nooralahzadeh, Jan Tore L{\o}nning, Lilja {\O}vrelid
The outcome of distant supervision for NER, however, is often noisy.
no code implementations • WS 2019 • Vinit Ravishankar, Memduh G{\"o}k{\i}rmak, Lilja {\O}vrelid, Erik Velldal
Encoders that generate representations based on context have, in recent years, benefited from adaptations that allow for pre-training on large text corpora.
no code implementations • WS 2019 • Stig Johan Berggren, Taraka Rama, Lilja {\O}vrelid
In this paper we present first results for the task of Automated Essay Scoring for Norwegian learner language.
1 code implementation • WS 2018 • Gosse Bouma, Jan Hajic, Dag Haug, Joakim Nivre, Per Erik Solberg, Lilja {\O}vrelid
Although treebanks annotated according to the guidelines of Universal Dependencies (UD) now exist for many languages, the goal of annotating the same phenomena in a cross-linguistically consistent fashion is not always met.
no code implementations • WS 2018 • Farhad Nooralahzadeh, Lilja {\O}vrelid
The experiments show that the pipeline with simple Cosine Similarity using TFIDF in sentence selection along with DA model as labelling model achieves the best results on the development set (F1 evidence: 32. 17, label accuracy: 59. 61 and FEVER score: 0. 3778).
no code implementations • CONLL 2018 • Murhaf Fares, Stephan Oepen, Lilja {\O}vrelid, Jari Bj{\"o}rne, Richard Johansson
We summarize empirical results and tentative conclusions from the Second Extrinsic Parser Evaluation Initiative (EPE 2018).
no code implementations • WS 2018 • Taraka Rama, P{\aa}l Brekke, {\O}ystein Nytr{\o}, Lilja {\O}vrelid
In this article, we describe the development of annotation guidelines for family history information in Norwegian clinical text.
no code implementations • WS 2017 • Andrey Kutuzov, Erik Velldal, Lilja {\O}vrelid
Recent studies have shown that word embedding models can be used to trace time-related (diachronic) semantic shifts in particular words.
1 code implementation • WS 2017 • Martine Enger, Erik Velldal, Lilja {\O}vrelid
This paper presents an open-source toolkit for negation detection.
no code implementations • LREC 2016 • Lilja {\O}vrelid, Petter Hohle
This article describes the conversion of the Norwegian Dependency Treebank to the Universal Dependencies scheme.
no code implementations • LREC 2014 • Per Erik Solberg, Arne Skj{\ae}rholt, Lilja {\O}vrelid, Kristin Hagen, Janne Bondi Johannessen
The Norwegian Dependency Treebank is a new syntactic treebank for Norwegian Bokm{\"a}l and Nynorsk with manual syntactic and morphological annotation, developed at the National Library of Norway in collaboration with the University of Oslo.
no code implementations • LREC 2012 • Jonathon Read, Dan Flickinger, Rebecca Dridan, Stephan Oepen, Lilja {\O}vrelid
We present the WeSearch Data Collection (WDC)―a freely redistributable, partly annotated, comprehensive sample of User-Generated Content.