E3S Web Conf.
Volume 189, 20202020 International Conference on Agricultural Science and Technology and Food Engineering (ASTFE 2020)
|Number of page(s)||5|
|Section||Natural Resources and Environmental Studies|
|Published online||15 September 2020|
Research on Discourse Coherence based on the Analysis Model of Event Chain from the Perspective of Computational Linguistics
College of Foreign Language, Bengbu University, Bengbu, China
With the rapid development of network technology, natural language processing has also entered a boom period. Probability and data-driven methods have been widely used in natural language processing. The need for people to extract and retrieve information from the Internet is also increasing, and more and more researchers are trying to use computers to process content related to discourse coherence. Based on the event chain of the text semantic structure representation, this paper proposes a text semantic structure representation model, on the basis of which, text coherent resources can be used for the task of text semantic analysis. Event chain is a necessary condition for discourse coherence, which can be transformed into a computable event chain analysis problem, and can be further formalized as discourse-oriented partial dependency analysis of sentences.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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