no code implementations • 1 Jul 2023 • Yutian Sun, Hai Zhuge
The difficulties of automatic extraction of definitions and methods from scientific documents lie in two aspects: (1) the complexity and diversity of natural language texts, which requests an analysis method to support the discovery of pattern; and, (2) a complete definition or method represented by a scientific paper is usually distributed within text, therefore an effective approach should not only extract single sentence definitions and methods but also integrate the sentences to obtain a complete definition or method.
no code implementations • EMNLP 2018 • Jingqiang Chen, Hai Zhuge
Recent neural summarization research shows the strength of the Encoder-Decoder model in text summarization.
no code implementations • COLING 2016 • Wei Li, Lei He, Hai Zhuge
This paper studies the abstractive multi-document summarization for event-oriented news texts through event information extraction and abstract representation.
no code implementations • COLING 2016 • Lei He, Wei Li, Hai Zhuge
This paper investigates differential topic models (dTM) for summarizing the differences among document groups.
no code implementations • 18 Jul 2015 • Hai Zhuge
What is the relationship between big data and science paradigm?
no code implementations • 1 Jul 2015 • Hai Zhuge
Investigation extends to the incorporation of pictures into summary and to the summarization of videos, graphs and pictures, and then reaches a general summarization framework.