HITS at DISRPT 2023: Discourse Segmentation, Connective Detection, and Relation Classification
Wei Liu, Yi Fan, Michael Strube · 2023
HITS participated in the Discourse Segmentation (DS, Task 1) and Connective Detection (CD, Task 2) tasks at the DISRPT 2023.Task 1 focuses on segmenting the text into discourse units, while Task 2 aims to detect the discourse connectives.We deployed a framework based on different pre-trained models according to the target language for these two tasks.HITS also participated in the Relation Classification track (Task 3).The main task was recognizing the discourse relation between text spans from different languages.We designed a joint model for languages with a small corpus while separate models for large corpora.The adversarial training strategy is applied to enhance the robustness of relation classifiers.The implementation of our models for three tasks is available at https://github. com/liuwei1206/disrpt2023. * Equal contribution. Wei is responsible for relation classification, while Yi works on discourse segmentation and connective detection.