We recommend using our new, extended 5W extraction system Giveme5W1H, which has various advantages, most importantly: (1) better extraction performance, (2) extraction of the 'how' question, and (3) easier installation. The Giveme5W repository (the one that contains this page) is not maintained any longer.
Giveme5W is an open-source system to extract answers to the five journalistic W questions (5Ws). The 5Ws describe the main event of a news articles, i.e., who did what, when, where, and why. Giveme5W can be accessed by other software as a Python library and via a RESTful API. The extraction performance is p=0.7.
Note that we currently work on an improved version of Giveme5W, which will be available here very soon.
The following steps setup Giveme5W on a Linux system. If you are using MacOS, see the installation wiki.
- Clone the repository
- Stanford NER: Download version
stanford-ner-2015-12-09from the Stanford NER website (the tool was tested with stanford-ner-2015-12-09, other versions may work as well) - Unzip its contents into
/Giveme5W/extractor/resources(afterward,/Giveme5W/extractor/resources/stanford-ner-2015-12-09needs to exist) pip3 install -r requirements.txt
Invoking Giveme5W is straightforward - it only requires a couple of lines of codes, and Giveme5W takes care of the rest! If you want to extract the 5Ws from a single article, run the following code.
from extractor.document import Document
from extractor.five_w_extractor import FiveWExtractor
extractor = FiveWExtractor()
document = Document(articletext)
extractor.parse(document)
Note that while Giveme5W allows you to just put in an article's whole text (including or excluding the headline), you can also separately pass the headline, lead paragraph (which we call description), and main text.
document = Document(title, description, text)
Afterward, you can access the questions and their answers, e.g.:
import pprint
pp = pprint.PrettyPrinter(indent=4)
pp.pprint(document.questions)
Giveme5W also includes an example script that runs out of the box.
$ python3 examples/fivew_single_article.py
Giveme5W provides a RESTful API to which you can pass a news article. First, start the server script.
$ python3 examples/server.py
Starting up the server takes a few seconds. Once the server is running, you can send GET and POST requests to http://localhost:5000/extract. Simply pass a single JSON object that needs to contain the text of an article, i.e., a field named
articletext(the text of the article including or excluding the headline)
Alternatively, you can also distinctively pass the headline, lead paragraph, and the full text:
titledescription(the lead paragraph)text(the remainder of the text)
Giveme5W natively supports articles extracted by our news crawler and extractor news-please.
If you are using Giveme5W, please cite our paper (ResearchGate, Mendeley):
@InProceedings{Hamborg2018,
author = {Hamborg, Felix and Lachnit, Soeren and Schubotz, Moritz and Hepp, Thomas and Gipp, Bela},
title = {Giveme5W: Main Event Retrieval from News Articles by Extraction of the Five Journalistic W Questions},
booktitle = {Proceedings of the iConference 2018},
year = {2018},
month = {March},
location = {Sheffield, UK},
url = {https://doi.org/10.1007/978-3-319-78105-1_39},
doi = {10.1007/978-3-319-78105-1_39}
}
You can find more information on this and other news projects on our website.
Do you want to contribute? Great, we are always happy for any support on this project! Just send a pull request. By contributing to this project, you agree that your contributions will be licensed under the project's license (see below). If you have questions or issues while working on the code, e.g., when implementing a new feature that you would like to have added to Giveme5W, open an issue on GitHub and we'll be happy to help you. Please note that we usually do not have enough resources to implement features requested by users - instead we recommend to implement them yourself, and send a pull request.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use Giveme5W except in compliance with the License. A copy of the License is included in the project, see the file LICENSE.txt.
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
The Giveme5W logo is courtesy of Mario Hamborg.
Copyright 2017-2018 The Giveme5W team