Papers by Yongbing Zhang
A Mixed-Language Multi-Document News Summarization Dataset and a Graphs-Based Extract-Generate Model (2025.naacl-long)
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| Challenge: | Existing research on news summarization focuses on single-language single-document (SLSD), single-linguistic multi-document or cross-language multi-doc (CLSD) however, in real-world scenarios, news articles often involve multiple documents in different languages, i.e., mixed-language MLMD. |
| Approach: | They propose a mixed-language multi-document news summarization dataset with four different languages and 10,992 source document cluster and target summary pairs. |
| Outcome: | The proposed dataset contains four different languages and 10,992 source document cluster and target summary pairs. |