25 citations · 75 across the 12 of their papers we have counts for
7 papers · 1 filter
Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations
Qingfa Xiao, Shuangyin Li, Lei Chen
The enhancement of unsupervised learning of sentence representations has been significantly achieved by the utility of contrastive learning. This approach clusters the augmented po…
Sentence-level Event Detection without Triggers via Prompt Learning and Machine Reading Comprehension
Tongtao Ling, Lei Chen, Huangxu Sheng +2
The traditional way of sentence-level event detection involves two important subtasks: trigger identification and trigger classifications, where the identified event trigger words…
Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification
Tongtao Ling, Lei Chen, Yutao Lai +1
Recent advances for few-shot text classification aim to wrap textual inputs with task-specific prompts to cloze questions. By processing them with a masked language model to predic…
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification
Rohan Bhambhoria, Lei Chen, Xiaodan Zhu
In recent years, large language models (LLMs) have achieved strong performance on benchmark tasks, especially in zero or few-shot settings. However, these benchmarks often do not a…
Retrieval-based Disentangled Representation Learning with Natural Language Supervision
Jiawei Zhou, Xiaoguang Li, Lifeng Shang +3
Disentangled representation learning remains challenging as the underlying factors of variation in the data do not naturally exist. The inherent complexity of real-world data makes…
Predicting Audience's Laughter Using Convolutional Neural Network
Lei Chen, Chong MIn Lee
For the purpose of automatically evaluating speakers' humor usage, we build a presentation corpus containing humorous utterances based on TED talks. Compared to previous data resou…
Is getting the right answer just about choosing the right words? The role of syntactically-informed features in short answer scoring
Derrick Higgins, Chris Brew, Michael Heilman +10
Developments in the educational landscape have spurred greater interest in the problem of automatically scoring short answer questions. A recent shared task on this topic revealed…