Search Results for author:
Found 6 papers, 0 papers with code
Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generation
Finally, we merge the quality phrases from both the Annotator and Generator as the final predictions, considering their complementary nature and distinct characteristics.
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence
Creating an essay based on a few given topics is a challenging NLP task.
Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models
Conventional fine-tuning encounters increasing difficulties given the size of current Pre-trained Language Models, which makes parameter-efficient tuning become the focal point of frontier research.
Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View
Along this vein, we propose a Mixture of Hawkes-based Temporal Network Embeddings (MHNE) model to capture the aspect-driven neighborhood formation of networks.
Towards Experienced Anomaly Detector through Reinforcement Learning
This abstract proposes a time series anomaly detector which 1) makes no assumption about the underlying mechanism of anomaly patterns, 2) refrains from the cumbersome work of threshold setting for good anomaly detection performance under specific scenarios, and 3) keeps evolving with the growth of anomaly detection experience.
Word Network Topic Model: A Simple but General Solution for Short and Imbalanced Texts
The short text has been the prevalent format for information of Internet in recent decades, especially with the development of online social media, whose millions of users generate a vast number of short messages everyday.
