Abstract
In this paper, we propose a new method that uses continuous vectors to map words to a reduced vocabulary, in the context of Automatic Text Summarization (ATS). This method is evaluated on the MultiLing corpus by the ROUGE evaluation measures with four ATS systems. Our experiments show that the reduced vocabulary improves the performance of state-of-the-art systems.
E.L. Pontes and J.-M. Torres-Moreno — This work was partially financed by the European Project CHISTERA-AMIS ANR-15-CHR2-0001.
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Notes
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Term Frequency - Inverse Sentence Frequency.
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- 3.
The options for running ROUGE 1.5.5 are -a -n 2 -x -m -2 4 -u -c 95 -r 1000 -f A -p 0.5 -t 0.
References
Balikas, G., Amini, M.R.: Learning language-independent sentence representations for multi-lingual, multi-document summarization. In: 17ème Conférence Francophone sur l’Apprentissage Automatique (CAp) (2015)
Carbonell, J., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: SIGIR, pp. 335–336 (1998)
Collobert, R., Weston, J.: A unified architecture for natural language processing: deep neural networks with multitask learning. In: ICML, pp. 160–167 (2008)
Giannakopoulos, G., El-Haj, M., Favre, B., Litvak, M., Steinberger, J., Varma, V.: TAC2011 multiling pilot overview. In: TAC (2011)
Kågebäck, M., Mogren, O., Tahmasebi, N., Dubhashi, D.: Extractive summarization using continuous vector space models. In: 2nd EACL Workshop on Continuous Vector Space Models and their Compositionality (CVSC), pp. 31–39 (2014)
Lin, C.Y.: ROUGE: a package for automatic evaluation of summaries. In: ACL Workshop on Text Summarization Branches Out (2004)
Mihalcea, R., Tarau, P.: Textrank: bringing order into texts. In: EMNLP, pp. 404–411 (2004)
Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: NIPS, pp. 3111–3119 (2013)
Pennington, J., Socher, R., Manning, C.: Glove: Global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532–1543. Association for Computational Linguistics, Doha, October 2014
Phung, V., De Vine, L.: A study on the use of word embeddings and pagerank for vietnamese text summarization. In: 20th Australasian Document Computing Symposium, pp. 7:1–7:8 (2015)
Pontes, E.L., Linhares, A.C., Torres-Moreno, J.M.: Sasi: sumarizador automático de documentos baseado no problema do subconjunto independente de vértices. In: XLVI Simpósio Brasileiro de Pesquisa Operacional (2014)
Torres-Moreno, J.M.: Automatic Text Summarization. Wiley, Hoboken (2014)
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Pontes, E.L., Huet, S., Torres-Moreno, JM., Linhares, A.C. (2016). Automatic Text Summarization with a Reduced Vocabulary Using Continuous Space Vectors. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science(), vol 9612. Springer, Cham. https://doi.org/10.1007/978-3-319-41754-7_46
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