Questions tagged [information-extraction]
Process of extracting useful and meaningful information from chunks of data or datasets, which can be in any format.
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Does a confusion matrix make sense for extraction tasks?
I'm extracting company names from text blobs.
I'm trying to calculate recall.
Confusion matrices makes more sense to me from a binary classification point of view, ...
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What are the approaches for extracting an injury and its description from a paragraph?
Suppose I have a paragraph which explains the injuries and its descriptions. I want to extract the injuries and its corresponding descriptions from the text. How can I do that?
For example, the ...
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Data extraction of text of a specific class
I have a set of documents for which I have to extract (or identify the location of) text of a particular class. So, the class may be "conversations about dogs". I can train a BERT model (...
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Using BERT to extract a list of words and phrases from documents
I have a list of words and phrases (~3k items). What are my options to extract them from documents (~3M of job descriptions) with NLP? I do not have labeled data.
For example my list of words and ...
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Multimodal semantic search
Context: I am interested in using the potential of using embeddings to consolidate texts/documents with very different surface forms into one searchable database - in other words, to produce a sort of ...
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Ontology-based knowledge graph construction from free-text
TL;DR
What is the best way to extract SPO triples from free-text with as little information loss as possible under the constraint that the nodes and relationships in the extracted triples are ...
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What method/algorithm to use to extract information from project documents about objectives, activities, and other variables?
I'm more-or-less new to NLP so assume little existing knowledge! But I have strong coding skills in R and to a lesser extent Python.
We're interested in extracting key information about objectives, ...
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What did Sentence-Bert return here?
I used sentence bert to embed sentences from this tutorial https://www.sbert.net/docs/pretrained_models.html
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Can I use Sentence-Bert to embed event triples?
I extracted event triples from sentences using OpenIE. Can I concatenate the components in the event triple to make it a sentence and use Sentence-Bert to embed it?
It seems no one has done this way ...
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Extracting information from bills, tax statements, etc: What ML model to use?
I have a bunch of documents such as bank statements, utilities bills, personal expenditure invoices, etc. The document types range is very broad. Some of these files are saved as pictures, others as ...
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Information Extraction from News Headlines
I'm relatively new in the field of Information Extraction and was wondering if there are any methods to summarize multiple headlines on the same topic, like some kind of "average" of ...
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Difference between the architectures of semantic and instance segmentation
My question is about the difference between the architectures of semantic segmentation and instance segmentation models. So, as far as I understand, a semantic segmentation model is making pixel-wise ...
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Data extraction using crawlers
I have a rather simple data scraping task, but my knowledge of web scraping is limited. I have a excel file containing the names of 500 cities in a column, and I'd like to find their distance from a ...
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Importing data directly into excel sheet, from data accessed through Material Project opensource API's
I had a general doubt. If I want to extract some data, say the information regarding a particular chemical using API of material projects(a site that has open-source info on, say elements) available ...
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Is it possible to extract specific words from a sentence in Hindi/Marathi?
I have seen the different options to extract words from sentences in English but when I wanted to know if its possible to do the same thing in Hindi or Marathi
eg: टोमॅटो बेचना है
where the word at ...
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Extracting events with attributes from unstructured text
I am scraping websites of organisations (mostly retailers) and I want to use NLP to extract information from the websites’ unstructured text. The first thing I want to do is to identify covid-related ...
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Converting paragraphs into sentences
I'm looking for ways to extract sentences from paragraphs of text containing different types of punctuations and all. I used SpaCy's ...
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How to go about training a NER model to extract book citations in free-form?
I'm doing a project where I wish to create a graph visualization of free-form citations (not academic style citations) across all my e-books. E.g. David Foster Wallace's essays cite a lot of other ...
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Text mining in Amazon product review using R. I wasn't able to extract the particular product's review
Text mining on Amazon product review using R Program. I wasn't able to extract the particular product's review(i.e.If iphone 11 has 6k review, I need to extract all of it.) I'm getting only one column ...
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How to extract contents by topic from a document?
I am trying to extract information from resumes. I tried the pdfminer for the text extraction. But I need to extract the contents from a resume with respect to its title.
For example:
I will be giving ...
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Extracting domain specific terms from a huge hard-coded list from a text
I know. The title sounds like I haven't googled my problem, but trust me, I did. Maybe my problem has a name and I haven't found it yet. Hoping you can help me wrap my head around it.
What I want to ...
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Extracting document templates from similar documents
Using very basic techniques (zone segmentation + OPTICS) I was able to organize a set of around 10^4 business documents (invoices, receipts) into hierarchy of clusters of documents of similar layout. ...
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Extract Information from PDF using DL
We are having this requirement of extracting information from a credit history document. Usually it is a PDF and a computer generated document.
Because these PDFs are generated by different sources, ...
