Questions tagged [named-entity-recognition]

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20
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2answers
12k views

NLP - Is Gazetteer a cheat?

In NLP, there is the concept of Gazetteer which can be quite useful for creating annotations. As far as I understand: A gazetteer consists of a set of lists ...
1
vote
1answer
72 views

Entity recognition with context/relation

Is there a way to get a specific entity based on the context where it is found? For example: The temperature today is 35°C. Store risperidone tablet at 20°C. Both are talking about temperature. For ...
4
votes
2answers
1k views

How many examples needed for named entity disambiguation?

If I want to build a named entity linking system for resumes using an ontology of occupations and skills about how many annotations would I need? The ontology has about 20,000 entities. As a lower ...
4
votes
1answer
116 views

Is it a red flag that increasing the number of parameters makes the model less able to overfit small amounts of data?

I'm training a deep network (CNN-LSTM-CRF) for Named Entity Recognition. Is there a reason that increasing the number of parameters would make the network less able to overfit a small training set (~...
2
votes
1answer
404 views

What is NLP technique to generalize manually created rules in text?

Let's say we have a free text containing key-value entities. Example: "... patient's tumour has width 6 cm and height 5 cm" Then an expert comes, marks it as important, thus we do have the rule for ...
2
votes
0answers
115 views

NER at sentence level or document level?

Should NER models (LSTM or CRF) take input training data at sentence level or paragraph level? Let's say we have this input text, and we would like to do Named Entity Extraction: GOP Sen. Rand ...
1
vote
1answer
517 views

Algorithms for Sentiment Analysis on Entity

I want to make sentiment analysis for an entity which was found, like Google NLP. Entity should have magnitude and score. Please share with me the possible research papers. p/s please not propose ...
0
votes
1answer
3k views

Algorithm for classification of words into given categories [closed]

I'm working with textual data from medical field. I have a list of words and I want to build an algorithm that can classify each word into one or more given categories, like Medicine_Name ...