Rebecka Weegar

发表

Ensembles for clinical entity extraction

Koldo Gojenola, Alicia Pérez, Rebecka Weegar, 2018, Proces. del Leng. Natural.

Passage retrieval in a question answering system.

Rebecka Weegar, Juri Pyykkö, Pierre Nugues, 2014 .

Image Segmentation and Labeling Using Free-Form Semantic Annotation

Rebecka Weegar, Pierre Nugues, Agnes Tegen, 2014, 2014 22nd International Conference on Pattern Recognition.

HEALTH BANK - A Workbench for Data Science Applications in Healthcare

Maria Kvist, Sumithra Velupillai, Rebecka Weegar, 2015, CAiSE Industry Track.

Temporal Annotation of Swedish Intensive Care Notes

Maria Kvist, Sumithra Velupillai, Rebecka Weegar, 2016, AMIA.

Deep Medical Entity Recognition for Swedish and Spanish

Alicia Pérez, Rebecka Weegar, Arantza Casillas, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Efficient Encoding of Pathology Reports Using Natural Language Processing

Rebecka Weegar, Hercules Dalianis, Jan F. Nygård, 2017, RANLP.

A Sentiment model for Swedish with automatically created training data and handlers for language specific traits

Rebecka Weegar, Michelle Ludovici, 2016 .

Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx

Søren Brunak, Maria Kvist, Rebecka Weegar, 2015, AMIA.

Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora

Koldo Gojenola, Alicia Pérez, Rebecka Weegar, 2017, J. Biomed. Informatics.

Linking Entities Across Images and Text

Rebecka Weegar, Pierre Nugues, Kalle Åström, 2015, CoNLL.

Unsupervised pre-training of a neural network for detecting healthcare-acquired infections

Rebecka Weegar, Claudia Figueras, 2018 .

Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches

Alicia Pérez, Rebecka Weegar, Arantza Casillas, 2019, BMC Medical Informatics and Decision Making.

Mining Events Preceding a Cancer Diagnosis

Rebecka Weegar, Rebecka Weegar, 2018, 2018 IEEE 14th International Conference on e-Science (e-Science).

The impact of simple feature engineering in multilingual medical NER

Koldo Gojenola, Arantza Díaz de Ilarraza, Alicia Pérez, 2016, ClinicalNLP@COLING 2016.

Creating a rule based system for text mining of Norwegian breast cancer pathology reports

Rebecka Weegar, Hercules Dalianis, 2015, Louhi@EMNLP.

Special Issue of Selected Contributions from the Seventh Swedish Language Technology Conference (SLTC 2018)

Rebecka Weegar, Hercules Dalianis, Robert Östling, 2019 .

Using machine learning for predicting cervical cancer from Swedish electronic health records by mining hierarchical representations

Rebecka Weegar, Karin Sundström, Rebecka Weegar, 2020, PloS one.

Visual Entity Linking: A Preliminary Study

Rebecka Weegar, Agnes Tegen, Magnus Oskarsson, 2014, AAAI 2014.

A Word Embeddings Based Clustering Approach for Collaborative Learning Group Formation

Jalal Nouri, Rebecka Weegar, Muhammad Afzaal, 2021, AIED.

Catching Group Criteria Semantic Information When Forming Collaborative Learning Groups

Jalal Nouri, Rebecka Weegar, Muhammad Afzaal, 2021, EC-TEL.

A step towards Improving Knowledge Tracing

Jalal Nouri, Rebecka Weegar, Muhammad Afzaal, 2021, 2021 International Conference on Advanced Learning Technologies (ICALT).

Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning

Panagiotis Papapetrou, Uno Fors, Jalal Nouri, 2021, AIED.

An Ensemble Approach for Question-Level Knowledge Tracing

Jalal Nouri, Rebecka Weegar, Muhammad Afzaal, 2021, AIED.