Yi Feng

Imbalanced-type Incomplete Data Fuzzy Modeling and Missing Value Imputations

2021

Missing values are a common phenomenon in real-world datasets, which caused by many factors such as errors in data acquisition or storage, equipment failure, or human fault in storage. Incomplete data modeling and missing values …

Hyperbolic Relevance Matching for Neural Keyphrase Extraction

2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Keyphrase extraction is a fundamental task in natural language processing that aims to extract a set of phrases with important information from a source document. Identifying important keyphrases is the central component of keyphrase extraction, …

Match More, Extract Better! Hybrid Matching Model for Open Domain Web Keyphrase Extraction

2024

Keyphrase extraction aims to automatically extract salient phrases representing the critical information in the source document.Identifying salient phrases is challenging because there is a lot of noisy information in the document, leading to wrong extraction.To …