CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization
Autor: | Yafei Jiang, Lei Li, Xingyuan Li, Yinan Liu, Yang Xie, Wei Liu, Siya Qi |
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Rok vydání: | 2020 |
Předmět: |
Document summarization
030504 nursing business.industry Computer science 010501 environmental sciences computer.software_genre 01 natural sciences Automatic summarization Task (project management) 03 medical and health sciences Artificial intelligence 0305 other medical science business computer Natural language processing 0105 earth and related environmental sciences |
Zdroj: | SDP@EMNLP |
Popis: | Our system participates in two shared tasks, CL-SciSumm 2020 and LongSumm 2020. In the CL-SciSumm shared task, based on our previous work, we apply more machine learning methods on position features and content features for facet classification in Task1B. And GCN is introduced in Task2 to perform extractive summarization. In the LongSumm shared task, we integrate both the extractive and abstractive summarization ways. Three methods were tested which are T5 Fine-tuning, DPPs Sampling, and GRU-GCN/GAT. |
Databáze: | OpenAIRE |
Externí odkaz: |