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Extractive summarization with raw text input returns the same text until the first CLS separator.
Model: CNN/DM Extractive
Command to reproduce:
```
python3 train.py -task ext -mode test_tex…
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Currently proposal descriptions are saved in a French and Dutch text that can be quite long.
We might summarize the description of proposals in a more understandable way for "common people": in the u…
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# Speech Summarization
Speech summarization refers to the process of condensing spoken language into a shorter version while retaining its essential meaning and key points. Speech summarization aim…
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### New Feature Summary
Currently, the app slices text based on the (start, end) pairs found in time frame annotations. Instead, if we can use the app for segmentation of videos between two occurrenc…
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Use Linked Entity Recognition to get text from a link, and then use the Summarize API to return a summary of the text to users.
Summarization API: https://learn.microsoft.com/en-us/azure/cognitive…
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### Aim
This Python script takes a longer piece of text as input and generates a concise summary using the TextRank algorithm from the `sumy` library.
### Details
TextRank is an extractive text …
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this project idea is basically based on getting a precise summary out of Sports match videos.
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Can you give me a command for running or necessary args for training the model for summarization? The code is prepared for machine translation instead of summarization, so we are hard to infer the spe…
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## Information
The problem arises in chapter:
* [ ] Introduction
* [ ] Text Classification
* [ ] Transformer Anatomy
* [ ] Multilingual Named Entity Recognition
* [ ] Text Generation
* [ ] …
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This is now very simplistic, concatenating the abstract and the text and taking the first N characters or tokens.
Experiment with something better, maybe one of the following:
- https://www.tur…