Difference between revisions of "Neural Coreference"
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[http://www.youtube.com/results?search_query=Coreference+resolution+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...] | ||
| + | * [[Reinforcement Learning (RL)]] | ||
* [[Deep Reinforcement Learning (DRL)]] | * [[Deep Reinforcement Learning (DRL)]] | ||
* [[Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] | * [[Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] | ||
Revision as of 06:07, 4 August 2018
- Reinforcement Learning (RL)
- Deep Reinforcement Learning (DRL)
- Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
- 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.
