Search Results for author: Lilja {\O}vrelid

Found 31 papers, 4 papers with code

Anonymisation Models for Text Data: State of the art, Challenges and Future Directions

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.

Position Privacy Preserving

A Tale of Three Parsers: Towards Diagnostic Evaluation for Meaning Representation Parsing

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.

Dependency Parsing

Multilingual Probing of Deep Pre-Trained Contextual Encoders

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.

Sentence

Expletives in Universal Dependency Treebanks

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.

Coreference Resolution Question Answering

SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification

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).

Entity Linking Information Retrieval +5

Iterative development of family history annotation guidelines using a synthetic corpus of clinical text

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.

Tracing armed conflicts with diachronic word embedding models

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.

Word Embeddings

Universal Dependencies for Norwegian

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.

Dependency Parsing POS +1

The Norwegian Dependency Treebank

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.

Dependency Parsing Machine Translation +3

The WeSearch Corpus, Treebank, and Treecache -- A Comprehensive Sample of User-Generated Content

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.

Domain Adaptation

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