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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29 views

NLP Identifying important key words in a corpus

I am intrigued with the idea of Zettelkasten but unsatisfied with the current implementations. It seems to me that a machine learning and NLP approach could be productive by helpfully identifying “...
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1answer
37 views

How to add a pretrained model to my layers to get embeddings?

I want to use a pretrained model found in [BERT Embeddings] https://github.com/UKPLab/sentence-transformers and I want to add a layer to get the sentence embeddings from the model and pass on to the ...
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1answer
34 views

What should the dimension of the input be for text summarization?

I am trying to build a model for extractive text summarization using keras sequential layers. I am having a hard time trying to understand how to input my x data. Should it be an array of documents ...
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How can I use GPT-2 to modify seed text of one form into a different form (LENGTH INVARIANT) whilst retaining meaning?

I am currently starting a research project whereby I am trying to convert text of one form into another. i.e. If I were to write a seed sentance of the form "Scientists have finally achieved the ...
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1answer
40 views

How would you build an AI to output the primary concept of a paragraph?

My thinking is you input a paragraph, or sentence, and the program can boil it down to the primary concept(s). Example: Input: Sure, it would be nice if morality was simply a navigation toward ...
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1answer
29 views

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:...
5
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1answer
35 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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0answers
39 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
35 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
4k 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 <...
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2answers
170 views

How does the “Lorem Ipsum” generator work?

I've seen many Lorem Ipsum generators on the web, but not only, there is also "bacon ispum", "space ispum", etc. So, how do these generators generate the text? Are they powered by an AI?
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4answers
458 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). ...
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1answer
110 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
81 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
74 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
36 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
331 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.
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1answer
76 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 ...