Questions tagged [named-entity-recognition]
The named-entity-recognition tag has no usage guidance.
20 questions
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Text dump to table
Consider we parse an excel sheet and now have all the text from the sheet, this is a sort of a text dump, just a bag of words. Doing this we have lost information like headers, separators and what ...
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403
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Can I use Generative AI to reliably extract data (vs. Extractive AI)?
It seems that nowadays lots of people building tools to extract data from different sources (e.g. PDF reports) with the help of models like GPT-4, LLama or Falcon.
I was wondering, if this really ...
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62
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How to label missing/default values for a named entity recognition dataset
I am building the training dataset for a named entity recognition model, with 2 tags: Name and Category and I am using a pre-...
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138
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How to extract product codes within unstructured data
I am working on a project where I have a dataset consisting of unstructured data from multiple ERP systems. Each dataset (extracted from an ERP) has different columns, and unfortunately, there is no ...
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Is there a way to find a list of associated words to a named entity?
Is there a way to find a list of associated words to a named entity?
For instance, let the named entity be FIFA. Now FIFA is a Football Organization and hence related to the term football and all the ...
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58
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Confused about NER evaluation
I'm reading from the book Speech and Language Processing by
Dan Jurafsky and James H. Martin and I've stuck for a while trying to understand what the authors mean by the following
The fact that named ...
- 101
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3
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1k
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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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1
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3k
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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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75
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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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433
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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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88
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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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45
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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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5k
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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 ...
- 157
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497
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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 ...
- 157
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176
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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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76
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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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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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278
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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
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2
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389
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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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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 ...
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