Questions tagged [annotation]

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Semantic Annotation in text with curlie.org

I came across curlie.org (previously known as the dmoz taxonomy) and I'm interested to see how I could best start tagging a given text, with concepts from that taxonomy: Are there any tools out there ...
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25 views

Few questions related to data annotation in order to train Spacy NER model

I want to train Spacy NER model on custom dataset. I have some specific questions related to data annotation. I am using dataturks website to annotate pdf and word doc. If I want to label company "...
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53 views

how to create custom data-set for “text-detection-ctpn mode” for training the model to localize text in particular field of interest?

how to create custom data-set for "text-detection-ctpn mode"? Git link: "https://github.com/eragonruan/text-detection-ctpn" Query1. How the coordinates ...
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Corpus suggestion for financial domain [closed]

I am looking for a financial corpus or any form of publicly available financial texts which is replete with technical terms and acronyms. Any suggestion is appreciated.
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29 views

Image masking tool to implement mask RCNN using python

I am trying to understand Mask RCNN. For that I have to input image with mask in png format while building the model. I try to follow the article present in this blog. The blogger used Pixel ...
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1answer
30 views

How to deal with annotation errors?

I know my annotators are not perfect, sometimes making mistakes. What would be the best way to deal with the annotation errors for my training data? Thanks!
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1answer
14 views

Best practice on count of manual annotations for building criminal detection from news articles?

We have 7 million news articles corpus, which we want to classify into crimes or non-crimes and further identify criminals by using NERs/annotating criminals, crime manually. For creating a model that ...
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18 views

Create labels or annotation from two color images

I have two categories of images to use in my deep learning model. The firs category is aerial images that contain roads (such as road-1.jpg). The second category is two color images that contains road ...
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1answer
89 views

How to train a neural network for high recall?

I would like to train a neural network for named entity recognition to tag an unlabeled dataset of texts. The generated labels will then be checked via a crowdsourcing platform. The goal is to ...
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29 views

App or Service to QA 80,000 classified images?

I've been reviewing services and apps for the past week and my head is exploding. I just haven't found the right one yet, but I know it has to be out there, so I'm turning to the collective wisdom ...
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Algorithm for automatic annotation with landmarks

I worked on iris detection in real-time using deep learning, so it so hard to get an annotated dataset for iris detection with landmarks, and manually annotation takes a long time and this work should ...
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1answer
220 views

Using doccano for Aspect Based Sentiment Analysis annotation

Currently looking for a good tool to annotate sentences regarding aspects and their respective sentiment polarities. I'm using SemEval Task 4 as a reference. The following is an example in the ...
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791 views

How to map RGB image segmentation ground truth to classes/one-hot vectors in TensorFlow?

Is there a TensorFlow function which takes multicategorical ground truth for semantic image segmentations in the form of RGB images and outputs a tensor with a one-hot vector encoding of the ...
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1answer
113 views

Annotation tool for classification experiments

What tools are available that provide an interface to present text classification results? I need to keep and compare the results of different classification algorithms for unsupervised data. The tool ...
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1answer
192 views

What are the best tools for manually annotating textual topic segmentation?

I checked this old question on tools for text corpus annotation and there are many good tools there, however the tools there seem not to cover my problem. I have a linear text segmentation problem, ...
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2answers
222 views

How to measure Entity Ambiguity?

When using/building a system for Entity Linking, is there a well-known measure for "ambiguity degree" of an entity? Some approach to compare named entities regarding how difficult to disambiguate?
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What are helpful annotation tools (if any)

I'm looking for tools that would help me and my team annotate training sets. I work in an environment with large sets of data, some of which are un- or semi-structured. In many cases there are ...