Questions tagged [automatic-summarization]

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Summarize events per ID

Data: Each corresponds to an event (a person's visit to the hospital, as an example). I have a series of data associated with this event (duration of visit, motive, etc...). Objective: Summarize the ...
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1answer
96 views

UniLM - Unified Language Model for summarization

The UniLM claims to be the best approach for summarization task. But there doesn't seem to be any tutorial or how-to section in the README.md or any other blog. How exactly can I use this state-of-the-...
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2answers
29 views

Text summarization with limited number of words

I am reviewing summarization techniques and haven't (yet) found an approach to limit the length of a summary. So for example a summarization function that gives me a summary that is ...
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0answers
12 views

Sparse Matrix TextRank function?

I want to run the standard TextRank algorithm on a quite large corpus (100,000 documents x 15+- sentences per document). My purpose is text summarization. The standard implementation I am seeing ...
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50 views

summarizing time series dataset: extract time window sliding, change points, pattern seasonality in time series

I need to detect list of change points in time series dataset (temperature), and I need to split dataset into set of classes (patterns) and detect seasonality of each class (pattern). for example ...
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13 views

how to condense text to half of the orignal size in python?

i'm working on a python code that can summarize a text to about 50% preserving the idea. i found a library natural language toolkit in python but what it does is it summarizes to about 5%. is there a ...
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2answers
51 views

Targeted information extraction / focused extractive summarization

I have a large collection of project manuals, each with a large number of pages. Each manual contains some form of summary paragraphs, although these are not necessarily similar in structure or format ...
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0answers
65 views

Generate sentences using given data [closed]

I am working on an automated insights generation use case where I want to generate meaningful sentences from given aggregated data. For example, Data: ...
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0answers
29 views

Calculate a mean on condtions in a dataframe with dyplr

My table looks like this: ...
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0answers
17 views

Plotting Loss on Validation Set for Text Summarization Neural Net

I am using a seq2seq encoder-decoder neural net with attention to summarize text, but I think it may be overfitting. https://github.com/dongjun-Lee/text-summarization-tensorflow Is there a way to ...
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1answer
445 views

Detect sensitive data from unstructured text documents

I know this question is broad, but I need an advice to know if it's possible to achieve what I want to do. The problem is that I have around 2500 documents with sensitive data being replaced by four ...
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1answer
719 views

Is there a dataset with news articles and their headlines? [closed]

I need a set of news headlines and articles to help me in a project on automatic summarization. Is there such a dataset or something similar?
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1answer
267 views

Reducing text input size into word2vec without affecting performance too badly?

So I am implementing Word2Vec for the first time, and I have a set of training data that I would like to train a word2vec model on. Predictably, the problem is the dataset is rather large, and I have ...
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7answers
5k views

Should I use regex or machine learning?

I am thinking of two use cases: You submit a resume in PDF format to a web site and it extracts your contact information, job titles, etc. You receive an email from a friend that says, "let's have ...
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0answers
32 views

What other approaches are there for abstractive summarization, other then seq2seq?

I'm researching on abstractive text summarization, and has come across many recent papers. They all seem to be focusing on Sequence to Sequence models based on RNNs. Apart from RNNs, what other ...
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1answer
4k views

finding themes from text documents

I have a text documents that contain 1000s of abstracts from medical whitepapers. I want to find themes from that text. Any suggestions other than text clustering since clustering helped me to find ...
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2answers
974 views

Extractive text summarization, as a classification problem using deep networks

I understand that this is broad, but I merely require a few pointers. I wish to implement a text summarization system. I have already tried out an abstractive approach, now I am trying an extractive ...
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2answers
411 views

Extract sentences from beginning of news in single document summarization

I am working on Single Document Summarization task on News datasets. I do some experiments in this task. A simple experiment that I make and has a good result is extracting sentences just from ...