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| <p>This is a demo of our State-of-the-art neural coreference resolution system. | |
| The open source code for <a target="_blank" href="https://github.com/huggingface/neuralcoref">Neural coref</a>, | |
| our coreference system based on neural nets and spaCy, is <a target="_blank" href="https://github.com/huggingface/neuralcoref">on Github</a>, | |
| and we explain in our Medium publication <a target="_blank" href="https://medium.com/huggingface/state-of-the-art-neural-coreference-resolution-for-chatbots-3302365dcf30">how the model works</a> | |
| and <a target="_blank" href="https://medium.com/huggingface/how-to-train-a-neural-coreference-model-neuralcoref-2-7bb30c1abdfe">how to train it</a>.</p> | |
| <p>In short, 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. | |
| If you like this demo please <a target="_blank" href="https://twitter.com/intent/tweet?url=https%3A%2F%2Fgit.lnyan.com%2Fcoref&via=julien_c%20%40betaworks">tweet about it</a> 👍.</p> | |
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