SUMMA - Text Summarization Toolkit
SUMMA is a text summarization toolkit which follows the architectural precepts of the GATE framework therefore providing much needed functionality in the form of language and processing resources for composition of practical summarization applications.
SUMMA main features
- Resources for statistical text analysis
- Resources for features computation
- Resources for customization of summaries
- Resources for exporting results
- Single-document summarization
- Multi-document summarization
- Multilingual processing
- Ready-made summarizers and baselines for research comparison
- Easy to install and use
- Easy to extend
- Easy to customize
Related Assets:
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Scientific Text Mining and Summarization Services
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Abura’ed A, Chiruzzo L, Saggion H, Accuosto P, Bravo A. LaSTUS/TALN @ CLSciSumm-17: Cross-document Sentence Matching and Scientific Text Summarization Systems. Proceedings of the Second Joint Workshop on Bibliometric Enhanced Information Retrieval and Natural Language Processing for Digital Libraries
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Abura'ed A, Bravo A, Chiruzzo L, Saggion H. LaSTUS/TALN+INCO @ CL-SciSumm 2018 - Using Regression and Convolutions for Cross-document Semantic Linking and Summarization of Scholarly Literature. Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018)
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Opening Science to Open Innovation
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Mining the Knowledge of Scientific Publications
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Francesco Ronzano wins the 1st Language Technologies Hackathon at 4YFN