NLPExplorer

Ildiko Pilan

Number of Papers:- 30

Number of Citations:- 27

First ACL Paper:- 2014

Latest ACL Paper:- 2022

Venues:-

MultilingualBIO

EMNLP

CL4LC

NAACL

BEA

LREC

ClinicalNLP

LaTeCH

NLP4CALL

ACL

EACL

IJCNLP

NoDaLiDa

COLING

Co-Authors:-

Similar Authors:-

Bootstrapping Text Anonymization Models with Distant Supervision LREC

Anthi Papadopoulou | Pierre Lison | Lilja Øvrelid | Ildikó Pilán |

Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications BEA EACL

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

Proceedings of the 10th Workshop on NLP for Computer Assisted Language Learning NLP4CALL

Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications ACL BEA WS

Proceedings of the 9th Workshop on NLP for Computer Assisted Language Learning COLING NLP4CALL

Building a Norwegian Lexical Resource for Medical Entity Recognition LREC MultilingualBIO WS

Ildiko Pilan | Pål H. Brekke | Lilja Øvrelid |

Classification of Syncope Cases in Norwegian Medical Records ClinicalNLP EMNLP

A Dataset for Investigating the Impact of Feedback on Student Revision Outcome LREC

Ildiko Pilan | John Lee | Chak Yan Yeung | Jonathan Webster |

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications ACL WS

SB@GU at the Complex Word Identification 2018 Shared Task BEA NAACL WS

David Alfter | Ildikó Pilán |

Exploring word embeddings and phonological similarity for the unsupervised correction of language learner errors COLING LaTeCH WS

Ildikó Pilán | Elena Volodina |

Investigating the importance of linguistic complexity features across different datasets related to language learning WS

Ildikó Pilán | Elena Volodina |

Proceedings of the 7th workshop on NLP for Computer Assisted Language Learning NLP4CALL WS

Ildikó Pilán | Elena Volodina | David Alfter | Lars Borin |

Proceedings of the joint workshop on NLP for Computer Assisted Language Learning and NLP for Language Acquisition NLP4CALL WS

Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks COLING

Ildikó Pilán | Elena Volodina | Torsten Zesch |

Proceedings of the joint workshop on NLP for Computer Assisted Language Learning and NLP for Language Acquisition NLP4CALL WS

From distributions to labels: A lexical proficiency analysis using learner corpora NLP4CALL WS

SweLLex: Second language learners’ productive vocabulary NLP4CALL WS

Helping Swedish words come to their senses: word-sense disambiguation based on sense associations from the SALDO lexicon NoDaLiDa WS

Ildikó Pilán |

Ildiko Pilan

Number of Papers:- 30

Number of Citations:- 27

First ACL Paper:- 2014

Latest ACL Paper:- 2022

Venues:-

Co-Authors:-

Similar Authors:-

Bootstrapping Text Anonymization Models with Distant Supervision LREC

Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications BEA EACL

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

Proceedings of the 10th Workshop on NLP for Computer Assisted Language Learning NLP4CALL

Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications ACL BEA WS

Proceedings of the 9th Workshop on NLP for Computer Assisted Language Learning COLING NLP4CALL

Building a Norwegian Lexical Resource for Medical Entity Recognition LREC MultilingualBIO WS

Classification of Syncope Cases in Norwegian Medical Records ClinicalNLP EMNLP

A Dataset for Investigating the Impact of Feedback on Student Revision Outcome LREC

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications ACL WS

SB@GU at the Complex Word Identification 2018 Shared Task BEA NAACL WS

Exploring word embeddings and phonological similarity for the unsupervised correction of language learner errors COLING LaTeCH WS

Investigating the importance of linguistic complexity features across different datasets related to language learning WS

Proceedings of the 7th workshop on NLP for Computer Assisted Language Learning NLP4CALL WS

Proceedings of the joint workshop on NLP for Computer Assisted Language Learning and NLP for Language Acquisition NLP4CALL WS

Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks COLING

SweLL on the rise: Swedish Learner Language corpus for European Reference Level studies LREC

SVALex: a CEFR-graded Lexical Resource for Swedish Foreign and Second Language Learners LREC

Detecting Context Dependence in Exercise Item Candidates Selected from Corpora BEA WS

Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners’ Writings CL4LC WS

Proceedings of the joint workshop on NLP for Computer Assisted Language Learning and NLP for Language Acquisition NLP4CALL WS

From distributions to labels: A lexical proficiency analysis using learner corpora NLP4CALL WS

SweLLex: Second language learners’ productive vocabulary NLP4CALL WS

Helping Swedish words come to their senses: word-sense disambiguation based on sense associations from the SALDO lexicon NoDaLiDa WS

Proceedings of the fourth workshop on NLP for computer-assisted language learning NLP4CALL WS

Reusing Swedish FrameNet for training semantic roles LREC

A flexible language learning platform based on language resources and web services LREC

Rule-based and machine learning approaches for second language sentence-level readability BEA WS

Proceedings of the third workshop on NLP for computer-assisted language learning NLP4CALL WS

You Get what You Annotate: A Pedagogically Annotated Corpus of Coursebooks for Swedish as a Second Language NLP4CALL WS