2 citations · 2 across the 5 of their papers we have counts for
5 papers
Multi-level Contrastive Learning for Script-based Character Understanding
Dawei Li, Hengyuan Zhang, Yanran Li +1
In this work, we tackle the scenario of understanding characters in scripts, which aims to learn the characters' personalities and identities from their utterances. We begin by ana…
Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning
Hengyuan Zhang, Dawei Li, Yanran Li +3
The standard definition generation task requires to automatically produce mono-lingual definitions (e.g., English definitions for English words), but ignores that the generated def…
Fine-grained Contrastive Learning for Definition Generation
Hengyuan Zhang, Dawei Li, Shiping Yang +1
Recently, pre-trained transformer-based models have achieved great success in the task of definition generation (DG). However, previous encoder-decoder models lack effective repres…
BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling
Cunliang Kong, Yujie Wang, Ruining Chong +4
This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack, achieving 1st on Italian, 2…
Multitasking Framework for Unsupervised Simple Definition Generation
Cunliang Kong, Yun Chen, Hengyuan Zhang +2
The definition generation task can help language learners by providing explanations for unfamiliar words. This task has attracted much attention in recent years. We propose a novel…