Sequence Tagging with Tensorflow

I had thought of doing the same thing but POS tagging is already “solved” in some sense by OpenNlp and the Stanford NLP libraries. I think of using deep learning for problems that don’t already have good solutions.<p>Nice paper, and I look forward to reading the example code.

Nice article. Explains the whole things really well. I have found LSTM is little overkill for NER, as your entities are limited and data will not be very huge. CRF and Max-Ent seems to better options.<p>People who want to try it out on some real dataset, can get a sample data for NER from here :<p><a href="https:&#x2F;&#x2F;dataturks.com&#x2F;projects&#x2F;Mohan&#x2F;Best%20Buy%20E-commerce%20NER%20dataset" rel="nofollow">https:&#x2F;&#x2F;dataturks.com&#x2F;projects&#x2F;Mohan&#x2F;Best%20Buy%20E-commerce...</a>

I may be misunderstanding things. Are pronouns not tagged as people? &quot;Obama was the president&quot; vs &quot;I was the president&quot; or &quot;He was the president&quot;