Summary of Talking to Machines: Do You Read Me?, by Lina M. Rojas-barahona
Talking to Machines: do you read me?
by Lina M. Rojas-Barahona
First submitted to arxiv on: 2 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This dissertation presents a comprehensive overview of the author’s research on dialogue, with a focus on their contributions since their PhD thesis. The author’s research journey begins with modular architectures incorporating machine learning, deep learning, and reinforcement learning, culminating in the development of end-to-end deep neural networks. In addition to discussing their own work as a research associate, the dissertation also highlights projects they have supervised in recent years. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about the author’s research on talking, specifically what they’ve learned and achieved since getting their PhD. They started by building special computer programs that use machine learning and deep learning to understand language. Then, they developed new ways for computers to learn from experience using reinforcement learning. The paper also talks about some big projects the author worked on as a researcher and helped others with. |
Keywords
» Artificial intelligence » Deep learning » Machine learning » Reinforcement learning » Supervised
