Multitask Learning Model

We propose the first multi-task learning model for joint Vietnamese word segmentation, part- of-speech (POS) tagging and dependency parsing. In particular, our model extends the BIST graph-based dependency parser (Kiper- …...

AbstractBased on the recently proposed transferable dialogue state generator (TRADE) that predicts dialogue states from utterance-concatenated dialogue context, we propose a multi-task learning model with a simple yet effective utterance …...

Emotion classification in text is typically per- formed with neural network models which learn to associate linguistic units with emo- tions. While this often leads to good predic- tive performance, …...

AbstractThis paper describes MagicPai’s system for SemEval 2021 Task 7, HaHackathon: Detecting and Rating Humor and Offense. This task aims to detect whether the text is humorous and how humorous …...

AbstractThis work represents the system proposed by team Innovators for SemEval 2022 Task 8: Multilingual News Article Similarity. Similar multilingual news articles should match irrespective of the style of writing, …...

AbstractThis paper presents our work on LegalEval (understanding legal text), one of the tasks in SemEval-2023. It comprises of three sub-tasks namely Rhetorical Roles (RR), Legal Named Entity Recognition (L-NER), …...