 Data-efficient Active Learning for Structured Prediction with Partial
Annotation and Self-TrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 A Survey of Active Learning for Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of
Anaphoric Reference for Fiction and Wikipedia TextsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 |
 Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL), 2022 |
 Multi-task Active Learning for Pre-trained Transformer-based ModelsTransactions of the Association for Computational Linguistics (TACL), 2022 |
 Improving Question Answering Performance Using Knowledge Distillation
and Active LearningEngineering applications of artificial intelligence (EAAI), 2021 |
 Adapting Coreference Resolution Models through Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 CD2CR: Co-reference Resolution Across Documents and DomainsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 CoRefi: A Crowd Sourcing Suite for Coreference AnnotationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity
RecognitionIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020 |
 A Neural Entity Coreference Resolution ReviewExpert systems with applications (ESWA), 2019 |
