Papers by Roland Fernandez
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization (2021.naacl-main)
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Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao
| Challenge: | Abstractive summarization is the task of generating a concise summary of input documents . a middle-aged man and a young girl died after they were unable to avoid the plane . |
| Approach: | They propose a model that enriches the original Transformer with a Tensor Product Representation for abstractive summarization. |
| Outcome: | The proposed model outperforms the Transformer and the original TP-Transformer significantly on several datasets. |
Toward Compositional Behavior in Neural Models: A Survey of Current Views (2024.emnlp-main)
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| Challenge: | Compositionality is a core property of natural language, and it is regarded as a key goal for modern NLP systems. |
| Approach: | They propose a conceptual framework to address compositionality in NLP . they propose to use this framework to survey researchers active in this area . |
| Outcome: | The proposed framework finds consensus on key points and suggests that scale alone is unlikely to achieve the desired behavior. |