Heuristic algorithm for extraction of facts using relational model and syntactic data

Grigori Sidorov; Juve Andrea Herrera-de-la-Cruz; Sofía N. Galicia-Haro; Juan Pablo Posadas-Durán; Liliana Chanona-Hernandez

doi:10.1007/978-3-642-25324-9_28

Heuristic algorithm for extraction of facts using relational model and syntactic data

Grigori Sidorov, Juve Andrea Herrera-de-la-Cruz, Sofía N. Galicia-Haro, Juan Pablo Posadas-Durán, Liliana Chanona-Hernandez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

From semantic point of view, information is usually contained in small units, called facts that are usually smaller than sentences. Identification of these facts in a text is not a trivial task. We present a heuristic algorithm for extraction of facts from sentences using a simple representation based on a relational data model. We focus our study on texts that contain a lot of facts by their nature: structured textbooks. The algorithm is based on data obtained by a syntactic analyzer. The obtained facts can be useful for information retrieval tasks, automatic summarization, etc. Our experiments are conducted for Spanish language. We obtained better results than the similar methods.

Original language	English
Title of host publication	Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings
Pages	328-337
Number of pages	10
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-25324-9_28
State	Published - 2011
Event	10th Mexican International Conference on Artificial Intelligence, MICAI 2011 - Puebla, Mexico Duration: 26 Nov 2011 → 4 Dec 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	7094 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th Mexican International Conference on Artificial Intelligence, MICAI 2011
Country/Territory	Mexico
City	Puebla
Period	26/11/11 → 4/12/11

Keywords

fact extraction
learning by reading
relational data model
syntactic analysis

Access to Document

10.1007/978-3-642-25324-9_28

Cite this

Sidorov, G., Herrera-de-la-Cruz, J. A., Galicia-Haro, S. N., Posadas-Durán, J. P., & Chanona-Hernandez, L. (2011). Heuristic algorithm for extraction of facts using relational model and syntactic data. In Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings (PART 1 ed., pp. 328-337). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7094 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-25324-9_28

Sidorov, Grigori ; Herrera-de-la-Cruz, Juve Andrea ; Galicia-Haro, Sofía N. et al. / Heuristic algorithm for extraction of facts using relational model and syntactic data. Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings. PART 1. ed. 2011. pp. 328-337 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Heuristic algorithm for extraction of facts using relational model and syntactic data",

abstract = "From semantic point of view, information is usually contained in small units, called facts that are usually smaller than sentences. Identification of these facts in a text is not a trivial task. We present a heuristic algorithm for extraction of facts from sentences using a simple representation based on a relational data model. We focus our study on texts that contain a lot of facts by their nature: structured textbooks. The algorithm is based on data obtained by a syntactic analyzer. The obtained facts can be useful for information retrieval tasks, automatic summarization, etc. Our experiments are conducted for Spanish language. We obtained better results than the similar methods.",

keywords = "fact extraction, learning by reading, relational data model, syntactic analysis",

author = "Grigori Sidorov and Herrera-de-la-Cruz, {Juve Andrea} and Galicia-Haro, {Sof{\'i}a N.} and Posadas-Dur{\'a}n, {Juan Pablo} and Liliana Chanona-Hernandez",

year = "2011",

doi = "10.1007/978-3-642-25324-9_28",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings",

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Sidorov, G, Herrera-de-la-Cruz, JA, Galicia-Haro, SN, Posadas-Durán, JP & Chanona-Hernandez, L 2011, Heuristic algorithm for extraction of facts using relational model and syntactic data. in Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7094 LNAI, pp. 328-337, 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, 26/11/11. https://doi.org/10.1007/978-3-642-25324-9_28

Heuristic algorithm for extraction of facts using relational model and syntactic data. / Sidorov, Grigori; Herrera-de-la-Cruz, Juve Andrea; Galicia-Haro, Sofía N. et al.
Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings. PART 1. ed. 2011. p. 328-337 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7094 LNAI, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Heuristic algorithm for extraction of facts using relational model and syntactic data

AU - Sidorov, Grigori

AU - Herrera-de-la-Cruz, Juve Andrea

AU - Galicia-Haro, Sofía N.

AU - Posadas-Durán, Juan Pablo

AU - Chanona-Hernandez, Liliana

PY - 2011

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N2 - From semantic point of view, information is usually contained in small units, called facts that are usually smaller than sentences. Identification of these facts in a text is not a trivial task. We present a heuristic algorithm for extraction of facts from sentences using a simple representation based on a relational data model. We focus our study on texts that contain a lot of facts by their nature: structured textbooks. The algorithm is based on data obtained by a syntactic analyzer. The obtained facts can be useful for information retrieval tasks, automatic summarization, etc. Our experiments are conducted for Spanish language. We obtained better results than the similar methods.

AB - From semantic point of view, information is usually contained in small units, called facts that are usually smaller than sentences. Identification of these facts in a text is not a trivial task. We present a heuristic algorithm for extraction of facts from sentences using a simple representation based on a relational data model. We focus our study on texts that contain a lot of facts by their nature: structured textbooks. The algorithm is based on data obtained by a syntactic analyzer. The obtained facts can be useful for information retrieval tasks, automatic summarization, etc. Our experiments are conducted for Spanish language. We obtained better results than the similar methods.

KW - fact extraction

KW - learning by reading

KW - relational data model

KW - syntactic analysis

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings

T2 - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011

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Sidorov G, Herrera-de-la-Cruz JA, Galicia-Haro SN, Posadas-Durán JP, Chanona-Hernandez L. Heuristic algorithm for extraction of facts using relational model and syntactic data. In Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings. PART 1 ed. 2011. p. 328-337. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-25324-9_28

Heuristic algorithm for extraction of facts using relational model and syntactic data

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