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Found 15 papers, 1 papers with code
Anonymisation Models for Text Data: State of the art, Challenges and Future Directions
This position paper investigates the problem of automated text anonymisation, which is a prerequisite for secure sharing of documents containing sensitive information about individuals.
Exploring word embeddings and phonological similarity for the unsupervised correction of language learner errors
The presence of misspellings and other errors or non-standard word forms poses a considerable challenge for NLP systems.
Investigating the importance of linguistic complexity features across different datasets related to language learning
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.
SB@GU at the Complex Word Identification 2018 Shared Task
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.
Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners' Writings
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.
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks
The lack of a sufficient amount of data tailored for a task is a well-recognized problem for many statistical NLP methods.
SVALex: a CEFR-graded Lexical Resource for Swedish Foreign and Second Language Learners
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).
Reusing Swedish FrameNet for training semantic roles
In this article we present the first experiences of reusing the Swedish FrameNet (SweFN) as a resource for training semantic roles.
A flexible language learning platform based on language resources and web services
We present L{\"a}rka, the language learning platform of Spr{\"a}kbanken (the Swedish Language Bank).
