Zobrazeno 1 - 4
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pro vyhledávání: '"Poumay, Judicael"'
Autor:
Pichat, Michael, Campoli, Enola, Pogrund, William, Wilson, Jourdan, Veillet-Guillem, Michael, Melkozerov, Anton, Pichat, Paloma, Gasparian, Armanouche, Demarchi, Samuel, Poumay, Judicael
Neuropsychology of artificial intelligence focuses on synthetic neural cog nition as a new type of study object within cognitive psychology. With the goal of making artificial neural networks of language models more explainable, this approach involve
Externí odkaz:
http://arxiv.org/abs/2410.11868
Autor:
Poumay, Judicael, Ittoo, Ashwin
The ability to monitor the evolution of topics over time is extremely valuable for businesses. Currently, all existing topic tracking methods use lexical information by matching word usage. However, no studies has ever experimented with the use of se
Externí odkaz:
http://arxiv.org/abs/2301.00565
Autor:
Poumay, Judicael, Ittoo, Ashwin
Over the years, topic models have provided an efficient way of extracting insights from text. However, while many models have been proposed, none are able to model topic temporality and hierarchy jointly. Modelling time provide more precise topics by
Externí odkaz:
http://arxiv.org/abs/2112.03104
Autor:
Poumay, Judicael, Ittoo, Ashwin
Coreference Resolution is an important NLP task and most state-of-the-art methods rely on word embeddings for word representation. However, one issue that has been largely overlooked in literature is that of comparing the performance of different emb
Externí odkaz:
http://arxiv.org/abs/2110.05115