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pro vyhledávání: '"Borhanifard, Zeinab"'
Text coherence is a fundamental problem in natural language generation and understanding. Organizing sentences into an order that maximizes coherence is known as sentence ordering. This paper is proposing a new approach based on the graph neural netw
Externí odkaz:
http://arxiv.org/abs/2203.06778
Autor:
Golestani, Melika, Razavi, Seyedeh Zahra, Borhanifard, Zeinab, Tahmasebian, Farnaz, Faili, Hesham
Discovering the logical sequence of events is one of the cornerstones in Natural Language Understanding. One approach to learn the sequence of events is to study the order of sentences in a coherent text. Sentence ordering can be applied in various t
Externí odkaz:
http://arxiv.org/abs/2108.10986
Publikováno v:
In Computer Speech & Language March 2025 90
NSURL-2019 Task 7 focuses on Named Entity Recognition (NER) in Farsi. This task was chosen to compare different approaches to find phrases that specify Named Entities in Farsi texts, and to establish a standard testbed for future researches on this t
Externí odkaz:
http://arxiv.org/abs/2003.09029