Difference between revisions of "Neural Coreference"
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| − | [http://www.youtube.com/results?search_query=Coreference+deep+reinforcement+q+learning+artificial+intelligence+Neural Youtube search...] | + | [http://www.youtube.com/results?search_query=Coreference+resolution+deep+reinforcement+q+learning+artificial+intelligence+Neural Youtube search...] |
* [[Deep Reinforcement Learning]] | * [[Deep Reinforcement Learning]] | ||
| − | * [http://medium. | + | * [http://medium.com/huggingface/state-of-the-art-neural-coreference-resolution-for-chatbots-3302365dcf30 State-of-the-art neural coreference resolution for chatbots] |
* [http://huggingface.co/coref/ Try the demo - type in your sentence] | * [http://huggingface.co/coref/ Try the demo - type in your sentence] | ||
Coreference is the fact that two or more expressions in a text – like pronouns or nouns – link to the same person or thing. It is a classical Natural language processing task, that has seen a revival of interest in the past two years as several research groups applied cutting-edge deep-learning and reinforcement-learning techniques to it. It is also one of the key building blocks to building conversational Artificial intelligences. | Coreference is the fact that two or more expressions in a text – like pronouns or nouns – link to the same person or thing. It is a classical Natural language processing task, that has seen a revival of interest in the past two years as several research groups applied cutting-edge deep-learning and reinforcement-learning techniques to it. It is also one of the key building blocks to building conversational Artificial intelligences. | ||
| − | <youtube> | + | <youtube>rpwEWLaueRk</youtube> |
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Revision as of 16:36, 25 May 2018
- Deep Reinforcement Learning
- State-of-the-art neural coreference resolution for chatbots
- Try the demo - type in your sentence
Coreference is the fact that two or more expressions in a text – like pronouns or nouns – link to the same person or thing. It is a classical Natural language processing task, that has seen a revival of interest in the past two years as several research groups applied cutting-edge deep-learning and reinforcement-learning techniques to it. It is also one of the key building blocks to building conversational Artificial intelligences.
