52 citations · 156 across the 22 of their papers we have counts for
5 papers · 1 filter
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
Jiangshu Du, Congying Xia, Wenpeng Yin +2
In intent detection tasks, leveraging meaningful semantic information from intent labels can be particularly beneficial for few-shot scenarios. However, existing few-shot intent de…
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning
Hoang H. Nguyen, Chenwei Zhang, Ye Liu +1
Recent advanced methods in Natural Language Understanding for Task-oriented Dialogue (TOD) Systems (e.g., intent detection and slot filling) require a large amount of annotated dat…
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
Jianguo Zhang, Trung Bui, Seunghyun Yoon +6
In this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar. We present a simple yet effective few-…
UNISON: Unpaired Cross-lingual Image Captioning
Jiahui Gao, Yi Zhou, Philip L. H. Yu +2
Image captioning has emerged as an interesting research field in recent years due to its broad application scenarios. The traditional paradigm of image captioning relies on paired…
Neural Machine Translation with External Phrase Memory
Yaohua Tang, Fandong Meng, Zhengdong Lu +2
In this paper, we propose phraseNet, a neural machine translator with a phrase memory which stores phrase pairs in symbolic form, mined from corpus or specified by human experts. F…