Questions tagged [named-entity-recognition]
The named-entity-recognition tag has no usage guidance.
17
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30 views
How much labelling is required for NER with SpaCy?
I have transaction data and I would like to extract the merchant from the transaction description. I am new to this but I just came across Named Entity Recognition and SpaCy. I have hundreds of ...
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13 views
How might I extend named entity recognition to recognise sentence or phrases as belonging to certain classes, such as commentary, opinion etc?
Suppose I have a news report such as
THE ARCE BATTALION COMMAND HAS REPORTED THAT ABOUT 50 PEASANTS OF VARIOUS AGES HAVE BEEN KIDNAPPED BY TERRORISTS OF THE FARABUNDO MARTI NATIONAL LIBERATION FRONT [...
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12 views
Identify Merchants from Transaction Dataset
I have a transaction dataset, each transaction is in an unstructured format. The objective is to identify merchant from each transaction. If we look it from NER point of view, there would be problem ...
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1answer
50 views
Does BERT freeze the entire model body when it does fine-tuning?
Recently, I came across the BERT model. I did some research and tried some implementations.
I wanted to tackle a NER task, so I chose the BertForSequenceClassifications provided by HuggingFace.
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1answer
23 views
Extracting keywords from messages
I'm starting a project where I want to extract keywords from given messages. The keywords are for example something like: "hard disk", "watch" or other technical components. I'm ...
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1answer
59 views
Which AI techniques are there that combine multiple models to make sense of data at different stages?
I have been working to design a system that uses multiple machine learning models to make sense of data that is dynamically webscraped. Each AI would handle a specific task, for example:
An AI model ...
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57 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, ...
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1answer
35 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.
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1answer
1k 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 ...
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36 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 ...
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1answer
69 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 ...
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106 views
How can I use this Reformer to extract entities from a new sentence?
I have been looking at the NER example with Trax in this notebook. However, the notebook only gives an example for training the model. I can't find any examples of how to use this model to extract ...
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42 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 ...
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1answer
79 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 ...
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1answer
60 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?
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2answers
296 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 ...
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27 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 ...
