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 • COLING 2018 • Ildik{\'o} Pil{\'a}n, Elena Volodina
The presence of misspellings and other errors or non-standard word forms poses a considerable challenge for NLP systems.
no code implementations • WS 2018 • Ildik{\'o} Pil{\'a}n, Elena Volodina
We present the results of our investigations aiming at identifying the most informative linguistic complexity features for classifying language learning levels in three different datasets.
no code implementations • WS 2018 • David Alfter, Ildik{\'o} Pil{\'a}n
In this paper, we describe our experiments for the Shared Task on Complex Word Identification (CWI) 2018 (Yimam et al., 2018), hosted by the 13th Workshop on Innovative Use of NLP for Building Educational Applications (BEA) at NAACL 2018.
no code implementations • WS 2016 • Ildik{\'o} Pil{\'a}n, David Alfter, Elena Volodina
We bring together knowledge from two different types of language learning data, texts learners read and texts they write, to improve linguistic complexity classification in the latter.
no code implementations • COLING 2016 • Ildik{\'o} Pil{\'a}n, Elena Volodina, Torsten Zesch
The lack of a sufficient amount of data tailored for a task is a well-recognized problem for many statistical NLP methods.
no code implementations • LREC 2016 • Thomas Fran{\c{c}}ois, Elena Volodina, Ildik{\'o} Pil{\'a}n, Ana{\"\i}s Tack
The paper introduces SVALex, a lexical resource primarily aimed at learners and teachers of Swedish as a foreign and second language that describes the distribution of 15, 681 words and expressions across the Common European Framework of Reference (CEFR).
no code implementations • LREC 2014 • Elena Volodina, Ildik{\'o} Pil{\'a}n, Lars Borin, Therese Lindstr{\"o}m Tiedemann
We present L{\"a}rka, the language learning platform of Spr{\"a}kbanken (the Swedish Language Bank).
no code implementations • LREC 2014 • Ildik{\'o} Pil{\'a}n, Elena Volodina
In this article we present the first experiences of reusing the Swedish FrameNet (SweFN) as a resource for training semantic roles.