Questions tagged [text-summarization]

For questions related to (automatic) text summarization, which is the task of producing a concise and fluent summary of a text or document while preserving key information content and the overall meaning of the original document. For example, search engines are an example of an application that generates summaries as the previews of the documents or websites.

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Solution to classify product names

I have a bunch of training data for classifying product names, around 30,000 samples. The task is to classify these product names into types of product, around 100 classes (single words). For example:...
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0answers
20 views

Video summarization similar to Summe's TextRank

We have the popular TextRank API which given a text, ranks keywords and can apply summarization given a predefined text length. I am wondering if there is a similar tool for video summarization. ...
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What services are available for interpreting batches of text in order to determine their topic and/or summary?

I'm aware of the services from Microsoft and AWS, that may be able to used for such an application. Please let me know how these fare, and if other similar services exist elsewhere: https://azure....
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0answers
31 views

How can I generate keywords associated with a website given its URL?

I have a column with links to websites and another column with keywords from those websites. I have to find a map between these two, such that for a new input, which is a website's URL, I can generate ...
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1answer
31 views

Algorithms and strategies to help judges rule cases

I'm a Rails developer with a lot of web experience, but none (still) in AI. I'm working in a web text editor that judges use to writing their sentences. The goal is to start to use AI to help the ...
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0answers
2k views

How do I use GPT-2 to summarise text?

In section 3.6 of the OpenAI GPT-2 paper it mentions summarising text based relates to this, but the method is described in very high-level terms: To induce summarization behavior we add the text <...
2
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2answers
114 views

How does the 'Lorum ispum' generator work?

In the domain of natural language processing, a textgenerator is able to produce pseudo random output. The most famous one is SCIgen which was used to generate fake-science papers. The inner working ...
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4answers
315 views

Use Machine/Deep Learning to Guess a String

I want to be able to input a block of text and then have it guess a string within a predefined range (i.e. a string that starts with three letters and ends with five numbers like "XXX12345", etc). ...
3
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1answer
105 views

How would one go about generating *sensible* responses to chat?

I have recently gone about and made a simple AI, one that gives responses to an input (albeit completely irrelevant and nonsensical ones), using Synaptic.js. Unfortunately, this is not the type of ...
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2answers
74 views

What is easier or more efficient to summarize voice or text? [DP/RN]

If possible consider the relationship between implementation difficulty and accuracy in voice examples or simply chat conversations. And currently, what are the directions on algorithms like Deep ...
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1answer
69 views

What AI service can define personality portfolio based on text?

Imagine this theoretical situation: A group of people are asked to provide a solution for an imaginary problem via email. Then an AI service runs through their written solution, analyzing the ...
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0answers
35 views

Any software to guess idea flow (basic ideas/statements and their derivations) throughout text?

Is there any existing software which analyzes idea flow in the text (or between different texts, e.g scientific articles) and for example visualizes it with some graph?
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2answers
299 views

What kind of Algorithm is used is StackGAN to process realistic Images

How does StackGAN processes such a realistic image just from collecting details in the text? What kind of algorithm is used behind it? Anyone have any idea? Please Share.
4
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1answer
73 views

Can abstractive summarization be achieved using neural networks?

Text summarization is a long-standing research problem that was "ignited" by Luhn in 1958. However, a half century later, we still came nowhere close to solving this problem (abstractive ...