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个人简介
Philippe's thesis work revolved around applying the latest NLP technology to the news domain, thinking of what news interfaces could look like in the not so distant future.
Philippe also works in text Summarization and Simplification, building methods for unsupervised text generation: designing methods (such as the Summary Loop and Keep it Simple) that can compete with supervised method, without relying on the existence of a dataset.
An area of excitement for Philippe is thinking about ways to evaluate NLP and NLG systems, particularly thinking of task-oriented human evaluation that put NLP systems in practical settings and measure value added by a system.
Philippe also works in text Summarization and Simplification, building methods for unsupervised text generation: designing methods (such as the Summary Loop and Keep it Simple) that can compete with supervised method, without relying on the existence of a dataset.
An area of excitement for Philippe is thinking about ways to evaluate NLP and NLG systems, particularly thinking of task-oriented human evaluation that put NLP systems in practical settings and measure value added by a system.
研究兴趣
论文共 31 篇作者统计合作学者相似作者
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EMNLP 2023 (2023): 161-166
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CoRR (2023)
Xiang 'Anthony' Chen, Jeff Burke,Ruofei Du, Matthew K. Hong, Jennifer Jacobs,Philippe Laban, Dingzeyu Li,Nanyun Peng,Karl D. D. Willis,Chien-Sheng Wu,Bolei Zhou
CoRR (2023)
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