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Questions tagged [information-extraction]

The tag has no usage guidance.

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Is pooling acceptable to evaluate information extraction?

When dealing with information extraction of unbalanced classes (e.g. the desired class has a prevalence of 0.5%), the required sample size for validation might be huge (thousands of cases and more), ...
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Is there a method to approximately predict a 3D curve given two plane view of the curve?

Let's say the original data contains three variables, so it is a list of (x,y,z). In the figure, the blue and red curves are the lists of (x,z1) and (y,z2), respectively. These two lists are obtained ...
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Named Entity Recognizer for nominal phrases: Airbus vs Europe's biggest airplane manufacturer

i'm looking for a Named Entity Recognizer that is able to recognize "true names" as well as phrases that are synonymous for them. If possible i would like to use python. Can NLTK or spaCy models be ...
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extracting excerpts/snippets from short text

I have a problem where I need to extract snippets from an article, and also assign a tag to it, it could have multiple tag(total 5 tags). i have a labeled dataset of around 700. what would relatively ...
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Factor Graphs for Distant Supervision

Are factor graphs the state-of-the-art for relation classification with distant supervision? It seems to be the original way (Riedel et al 2010) of dealing with wrong relation mentions. Is it still ...
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How to make recognition of the important document's attributes

We have a set of PDFs with the different types of documents from the various companies. The goal: to predict which of them contain some important attributes (for example, document number, customer ...
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Methods for Machine Learning based facts extraction from texts

I have a list of documents and list of extracted facts of given type. For example, I have a list of invoices A list of invoices and extracted amounts in USD. A list of e-mails requesting a meeting ...
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Extracting Text Components from unstructured data

I'm trying to understand what types of techniques would be most applicable to the following type of problem. I'm trying to, given a webpage url that contains a recipe, separate the ingredient list ...
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Unsupervised answering for a predefined set of questions

I am working on a project to read up a text segment and find answers to a specific set of questions, in order to do some information extraction. I have a set of text corpus (each of about 3000 words),...
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115 views

What Machine Learning library / algorithm should I use to extract pre-defined features from email text?

I'm new to ML, so if it seems like I am making incorrect assumptions on how to go about doing something, please feel free to correct me. I would like to be able to pass in as training data many ...
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Is it better to do feature extraction and select the k most weighted features or do feature selection?

I have 315 data with 12076, I need to reduce the dimension and also select just 10 most important features. What is the best way? Is it better to do feature extraction and choose the features with ...
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Machine learning - Text extraction / pattern identification

I am new to machine learning, There will be set of paragraph and i need to extract postcode from each paragraph. (The postcode may not have the same pattern as they are obtained from different ...
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Is Machine Learning viable for Extracting product Information from webpages?

I have a task to extract product information from a certain set of websites for price analysis. The product group I'm trying to harvest data is well defined, I could easily provide a set with all the ...
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Guessing/extracting from the pool of partially right guesses

Lets assume that I have integer numbers from 1 to 50. I imagine any 5 unique numbers from 1 to 50. A computer can generate an array of 5 random numbers, as many times as it wants. Each time it ...
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3answers
114 views

Proof that perfect feature extraction doesn't exist?

Anyone is aware of any proofs that "perfect feature extraction doesn't exist" (on any domain, language, vision, etc). Either philosophical or mathematical, are fine. Update: or the inverse ...
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Which model for this information extraction problem?

I am trying to solve the following pattern recognition / information extraction problem. Assume I have a text where each token has been annotated by a single class among $K$ classes available (with a ...