20 citations · 20 across the 2 of their papers we have counts for
5 papers
Building a Norwegian Lexical Resource for Medical Entity Recognition
Ildikó Pilán, Pål H. Brekke, Lilja Øvrelid
We present a large Norwegian lexical resource of categorized medical terms. The resource merges information from large medical databases, and contains over 77,000 unique entries, i…
Candidate sentence selection for language learning exercises: from a comprehensive framework to an empirical evaluation
Ildikó Pilán, Elena Volodina, Lars Borin
We present a framework and its implementation relying on Natural Language Processing methods, which aims at the identification of exercise item candidates from corpora. The hybrid…
Detecting Context Dependence in Exercise Item Candidates Selected from Corpora
Ildikó Pilán
We explore the factors influencing the dependence of single sentences on their larger textual context in order to automatically identify candidate sentences for language learning e…
SweLL on the rise: Swedish Learner Language corpus for European Reference Level studies
Elena Volodina, Ildikó Pilán, Ingegerd Enström +4
We present a new resource for Swedish, SweLL, a corpus of Swedish Learner essays linked to learners' performance according to the Common European Framework of Reference (CEFR). Swe…
A Readable Read: Automatic Assessment of Language Learning Materials based on Linguistic Complexity
Ildikó Pilán, Sowmya Vajjala, Elena Volodina
Corpora and web texts can become a rich language learning resource if we have a means of assessing whether they are linguistically appropriate for learners at a given proficiency l…