add link to newer medium blogpost

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@thomwolf

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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 how it works in <a target="_blank" href="https://medium.com/huggingface/state-of-the-art-neural-coreference-resolution-for-chatbots-3302365dcf30">this Medium publication</a>.</p>
+			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.