Questions tagged [information-extraction]

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BIO vs. BIEWO tagging scheme

In one of my classes, the lecturer explains the tagging scheme BIO (begin, inside, outside) which I knew of and I perceive as the standard. Then he introduced BIEWO which additionally has a tag for ...
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7 views

How to extract a visible scatterplot matrix from Rstudio when you have many variables? [migrated]

all. I'm doing the chemical analysis and trying to make a scatterplot matrix based on my chemistry data. I was able to create a matrix that I wanted but each scatterplot is not visible enough to read ...
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8 views

Track peaks of two or more moving pulse generators

I want to disentangle the signals of two or more moving pulse sources using recordings of these pulses (see pictures). Example plots (4 panels per example to stretch the x axis a bit, the peaks of ...
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1answer
57 views

Deep Convolutional Neural Networks: Local Features vs Global Features

In the paper Learn To Pay Attention an attention mechanism is developed which takes into account both local and global features. It is written that the local features are basically the feature maps ...
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1answer
22 views

What metric should I use for evaluating a reading order of text tokens given the correct ordering?

Given an ordering of tokens extracted from a document with a ground truth ordering available. What would be the correct way to evaluate the ordering? I took a look at some Machine Translation ...
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1answer
140 views

How to train a Neural Network on sparse data?

I am trying to train a sequence model to extract specific substrings. I am working on extremely sparse text data (Sparsity ~ 0.03%, <1000 examples). After training for 500 epochs, the performance ...
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2answers
64 views

Feature extraction definition

I have difficulty understanding the concept of feature extraction since there are two main ways to describe it. The first one refers to mapping the raw data into a vector in R^d or the translation of ...
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1answer
45 views

Reconstructing face from randomised embedding

It is fairly agreed in literature that from a given face-embedding (that is a vector of features values) it is possible, with a good amount of effort, to reconstruct the original face, (See here for ...
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0answers
34 views

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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1answer
25 views

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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2answers
33 views

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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1answer
29 views

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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1answer
122 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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25 views

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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1answer
3k views

Any way to handle plurals in NLP without stemming words [closed]

I am playing around with topic modeling, and I notice a lot of related plural and singular words in my corpus (e.g. 'champion' and 'champions' are both found). I gave the porter stemmer in NLTK a ...
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837 views

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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1answer
1k views

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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1answer
89 views

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
124 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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114 views

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 ...