Papers with pipeline methodology
Towards Multi-Document Question Answering in Scientific Literature: Pipeline, Dataset, and Evaluation (2025.findings-emnlp)
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| Challenge: | Existing QA systems do not strictly enforce cross-document synthesis or exploit the explicit inter-paper structure that links sources. |
| Approach: | They propose a pipeline methodology for constructing a multi-document academic QA dataset . they detect communities based on citation networks and leverage Large Language Models . |
| Outcome: | The proposed method generates QA pairs related to multi-document content automatically and forms coherent communities based on citation networks and large language models. |
The brWaC Corpus: A New Open Resource for Brazilian Portuguese (L18-1)
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| Challenge: | a large corpus for Brazilian Portuguese is needed for NLP applications . the corpus is 2.7 billion tokens, and domain diversity is maximized . |
| Approach: | They propose to build a large Web corpus for Brazilian Portuguese with 2.7 billion tokens . they also propose an updated sentence-level approach for the strict removal of duplicated content . |
| Outcome: | The proposed corpus is based on a pipeline methodology and is available for querying and downloading. |