Questions tagged [named-entity-recognition]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
1
vote
0answers
12 views

Extracting “hidden” costs from financial statements using NLP

I'm designing a NLP model to extract various kinds of "hidden" expenses from 10-K and 10-Q financial statements. I've come up with about 7 different expense categories (restructuring costs, ...
0
votes
1answer
30 views

How to train a sequence labeling model with annotations from three annotators?

I have a dataset of movie reviews annotated by 3 persons. The following example contains one sentence with corresponding annotations from 3 different persons. ...
0
votes
1answer
291 views

How to understand 'losses' in Spacy's custom NER training engine?

From the tid-bits, I understand of neural networks (NN), the Loss function is the difference between predicted output and expected output of the NN. I am following this tutorial, the losses are ...
0
votes
0answers
8 views

What is this for loop doing in custom NER code in Spacy and what is an 'annotation' in Spacy?

I am writing a code to train custom entities in Spacy's NER engine. I am stuck in understanding small part of code from an online tutorial. Here's a link to the tutorial. The following code is line ...
0
votes
1answer
25 views

Should we use a pre-trained model or a blank model for custom entity training of NER in spacy?

Further to my last question, I am training a custom entity of FOODITEM to be recognized by Spacy's Name Entity Recognition engine. I am following tutorials online, following is the advise given in ...
1
vote
0answers
53 views

Using Reformer model to do NER in Trax

I have been looking at the NER example with Trax in this notebook: https://github.com/google/trax/blob/master/trax/examples/NER_using_Reformer.ipynb However the notebook only gives an example as far ...
1
vote
0answers
39 views

Determining if an entity in free text is 'present' or 'absent'; what is this called in NLP?

I'm processing a semi-structured scientific document and trying to extract some specific concepts. I've actually made quite good progress without machine-learning so far, but I got to a block of true ...
0
votes
1answer
39 views

Do we have to use the IOB format on labels in the NER dataset? If so, why?

Do we have to use the IOB format on labels in the NER dataset (such as B-PERSON, I-PERSON, etc.) instead of using the usual format (PERSON, ORGANIZATION, etc.)? If so, why? How will it affect the ...
0
votes
1answer
33 views

Is it possible to create a named entity recognition system without using POS tagging in the corpus?

Is it possible to create a named entity recognition system without using POS tagging in the corpus?
2
votes
2answers
242 views

What are the main ideas behind NER?

Named entity recognition (NER), also known as entity chunking/extraction, is a popular technique used in information extraction to identify and segment the named entities and classify or categorize ...
1
vote
0answers
25 views

Are there any good resources (preferably books) about techniques used for entity extraction?

Given some natural language sentences like I would like to talk to Mr. Smith I would like to extract entities, like the person "Smith". I know that frameworks, which are capable of doing ...