Paraphrase generation with deep reinforce
Web15 Nov 2024 · Paraphrase Generation Using Deep Reinforcement Learning - Thought Leaders - Unite.AI (2024) ... WebSybill. Sep 2024 - Present2 years 8 months. San Francisco Bay Area. Sybill generates accurate and absurdly human-like summaries for sales calls and pushes them into …
Paraphrase generation with deep reinforce
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WebParaPhrasee - Paraphrase Generation Using Deep Reinforcement Learning The thesis and repo associated with the article Paraphrase Generation Using Deep Reinforcement … WebThe evaluator is a deep matching model, specifically a decomposable attention model (Parikh et al., 2016), which can be trained by supervised learn- ing (SL) when both positive and
Web1 Dec 2024 · To create a model that generates paraphrases, the common procedure is to pick a pre-trained language model and finetune it on a paraphrase dataset. The more … WebDeep ecology and successful corporate cultures Since organizations are composed of people, it is instructive to examine how living systems successfully adapt to changing environments. In The Web of Life , physicist and philosopher Fritjof Capra describes the scientific discoveries underlying the paradigm shift from a mechanistic view to a holistic …
Web29 Aug 2024 · This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase … Webet al. 2016) for paraphrase generation, and show its efficacy on benchmark datasets, on which it outperforms the state-of-the-art by significant margins. Due to the importance of …
Web8 Feb 2024 · 10.1609/aaai.v32i1.11956 Abstract: Paraphrase generation is an important problem in NLP, especially in question answering, information retrieval, information …
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