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.
25 questions
1 vote
1 answer
168 views
How can LLMs understand and perform meta tasks? (e.g. summarization)
I don't ask how to make it summarize xy but if it is known how a "LLM" understands and performs this meta task at all. The same is true for prompts like "Be brief" or "Explain ...
- 23
1 vote
2 answers
155 views
Can you automatically write a text summarizing a finance document using AI models?
I'm given pdf documents containing complex information about a financial product and my task is to write a disclaimer: a two page document with a very precise structure explaining this financial ...
- 11
2 votes
1 answer
83 views
What are the most effective methods and tools for summarizing long-form content like articles, editorials, and discussion threads for an app?
With users expecting instantaneous information and no compromise on in-depth details, app developers are challenged to condense long-form content such as articles, editorials, and discussion threads ...
0 votes
1 answer
72 views
Can I pick up possible calendar events from a text file
I am new to this community and not even too sure if this is the right place for such a question. I want to know how I could implement (possibly with already made solutions) a system which could take ...
- 101
1 vote
2 answers
82 views
Among N documents, how to summarize the most unique content in each document?
I now have $N$ documents, which share common content and they have special unique content. Say I have $3$ legal documents related to the same person. Document $A$ is about land law, document $B$ is ...
- 13
1 vote
2 answers
157 views
Is it possible to classify the subject of a conversation?
I would like to classify the subject of a conversation. I could classify each messages of the conversation, but I will loose some imformation because of related messages. I also need to do it ...
1 vote
1 answer
743 views
How could facts be distinguished from opinions?
As a software engineer, I am searching for an existing solution or, if none exists, willing to create one that will be able to process texts (e.g. news from online media) to extract/paraphrase dry ...
- 131
1 vote
0 answers
44 views
What are the best techniques to perform text simplification?
I'm evaluating the state of the art techniques to translate legal text to simple text, what are the best approaches for a non-English language (Portuguese)?
0 votes
1 answer
1k 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 “...
- 101
0 votes
1 answer
266 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 ...
- 41
3 votes
1 answer
104 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 ...
- 41
1 vote
0 answers
245 views
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 ...
- 111
2 votes
1 answer
139 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 ...
- 305
0 votes
1 answer
90 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:...
- 1,338
6 votes
1 answer
125 views
Video summarization similar to Summe's TextRank [closed]
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. ...
- 1,003