Papers by Bernard Espinasse
DeepNLPF: A Framework for Integrating Third Party NLP Tools (2020.lrec-1)
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Francisco Rodrigues, Rinaldo Lima, William Domingues, Robson Fidalgo, Adrian Chifu, Bernard Espinasse, Sébastien Fournier
| Challenge: | Many third-party NLP tools perform distinct NLP subtasks, but integration is difficult . authors present a framework that enables easy integration of third-parties into a pipeline . |
| Approach: | They propose a framework that enables easy integration of third-party NLP tools . it provides an API for complete pipeline customization including definition of input/output formats . |
| Outcome: | The proposed framework reduces runtime processing time compared to executing the same pipeline in a sequential manner. |
DeepREF: A Framework for Optimized Deep Learning-based Relation Classification (2022.lrec-1)
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| Challenge: | Existing frameworks for relation extraction (RE) are limited due to lack of implementation details. |
| Approach: | They propose to use deep learning to develop relation extraction systems using deep learning models. |
| Outcome: | The proposed framework is inspired by the OpenNRE and REflex existing frameworks. |