NAVI GATIONSEARCH BOX
Join us on LinkedIn Follow us on Twitter
Eura Nova RD
Eura Nova

Activity

In this section you will find EURA NOVA’s latest news and activities. In this section you will find EURA NOVA's scientific publications and reports.

Activity

19-07-2019

STRASS: A Light and Effective Method for Extractive Summarization

This paper introduces STRASS: Summarization by TRAnsformation Selection and Scoring. It is an extractive text summarization method which leverages the semantic information in existing sentence embedding spaces. Our method creates an extractive summary by selecting the sentences with the closest embeddings to the document embedding. The model learns a transformation of the document embedding to minimize the similarity between the extractive summary and the ground truth summary. As the transformation is only composed of a dense layer, the training can be done on CPU, therefore, inexpensive. Moreover, inference time is short and linear according to the number of sentences. As a second contribution, we introduce the French CASS dataset, composed of judgments from the French Court of cassation and their corresponding summaries. On this dataset, our results show that our method performs similarly to the state of the art extractive methods with effective training and inferring time.

 

Léo Bouscarrat, Antoine Bonnefoy, Thomas Peel, Cécile Pereira, STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings, in 2019 ACL Student Research Workshop, Florence, Italy.

Florence, Italy

Download file (.pdf)

Leave a Reply