A graph-based multi-level linguistic representation for document understanding

Pattern Recognition Letters

Volumn 41, Issue 1, 2014, Pages 93-102

  Pinto, David ^a   Gómez Adorno, Helena ^a   Vilariño, Darnes ^a   Singh, Vivek Kumar ^b  

^a BENEMÉRITA UNIVERSIDAD AUTÓNOMA DE PUEBLA   (Mexico)

^b SOUTH ASIAN UNIVERSITY   (India)

Author keywords

Graph based representation; Text mining; Text representation

Indexed keywords

DOCUMENT UNDERSTANDING; EXTRACTING INFORMATION; FORMAL REPRESENTATIONS; GRAPH-BASED REPRESENTATIONS; LINGUISTIC REPRESENTATIONS; REPRESENTATION SCHEMA; TEXT MINING; TEXT REPRESENTATION;

DATA MINING; GRAPHIC METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

LINGUISTICS;

EID: 84897632262     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2013.12.004     Document Type: Article

References (24)

1. E. Agirre, D. Martínez, O.L. de Lacalle, and A. Soroa Two graph-based algorithms for state-of-the-art wsd D. Jurafsky, É. Gaussier, EMNLP 2006 ACL 585 593
2. I. Bejar, R. Chaffin, and S. Embretson Cognitive and psychometric analysis of analogical problem solving Recent Research in Psychology 1991 Springer-Verlag
3. C. Biemann Chinese whispers: an efficient graph clustering algorithm and its application to natural language processing problems Proc. of the 1st Workshop on Graph Based Methods for Natural Language Processing 2006 Association for Computational Linguistics Stroudsburg, PA, USA, 2006 73 80
4. Catherine De Marneffe, M., Manning, C.D. 2008. Stanford typed dependencies manual.
5. W.B. Croft, H.R. Turtle, and D.D. Lewis The use of phrases and structured queries in information retrieval Proc. of the 14th SIGIR Conference 1991 ACM New York, NY, USA 32 45
6. E.W. Dijkstra A note on two problems in connexion with graphs Numer. Math. 1 1 1959 269 271
7. B. Dorow, and D. Widdows Discovering corpus-specific word senses EACL 2003 The Association for Computer Linguistics 79 82
8. Keselj, V., Peng, F., Cercone, N., Thomas, C. 2003. N-gram-based author profiles for authorship attribution.
9. M.P. Marcus, B. Santorini, and M.A. Marcinkiewicz Building a large annotated corpus of english: the penn treebank Comput. Linguist. 19 2 1993 313 330
10. Y. Matsuo, T. Sakaki, K. Uchiyama, and M. Ishizuka Graph-based word clustering using a web search engine Proc. of the EMNLP 2006 Conference 2006 Association for Computational Linguistics Stroudsburg, PA, USA 542 550
11. M.L. Mauldin Retrieval performance in ferret a conceptual information retrieval system Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '91 1991 ACM New York, NY, USA 347 355
12. R. Mihalcea, and D. Radev Graph-based Natural Language Processing and Information Retrieval 2011 Cambridge University Press
13. Mladenic, D., Grobelnik, M. 1998. Word sequences as features in text-learning. In: In Proceedings of the 17th Electrotechnical and Computer Science Conference (ERK98), pp. 145-148.
14. C. Nicolae, and G. Nicolae Bestcut: a graph algorithm for coreference resolution Proc. of the EMNLP 2006 Conference 2006 Association for Computational Linguistics Stroudsburg, PA, USA, 2006 275 283
15. Peñas, A., Hovy, E.H., Forner, P., Rodrigo, Á., Sutcliffe, R.F.E., Forascu, C., Sporleder, C. 2011. Overview of QA4MRE at CLEF 2011: question answering for machine reading evaluation. In: Petras, V., Forner, P., Clough, P.D. (Eds), CLEF (Notebook Papers/Labs/Workshop).
16. Peñas, A., Hovy, E.H., Forner, P., Rodrigo, Á., Sutcliffe, R.F.E., Sporleder, C., Forascu, C., Benajiba, Y., Osenova, P. 2012. Overview of QA4MRE at CLEF 2012: question answering for machine reading evaluation. In: Forner, P., Karlgren, J., Womser-Hacker, C. (Eds), CLEF (Online Working Notes/Labs/Workshop).
17. Piryani, R., Uddin, A., Devaraj, M., Singh, V. 2013. An algorithmic formulation for extracting learning-concepts and their relatedness in ebook texts. In: Proceedings of the MIKE'2013, Lecture Notes in Artificial Intelligence, vol. 8284, pp. 524-540.
18. G. Salton Automatic Text Processing 1988 Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA
19. Singh, V.K., Piryani, R., Uddin, A., Pinto, D. 2013. A content-based eresource recommender system to augment ebook-based learning. In: Proceedings of the MIWAI'2013, Lecture Notes in Computer Science, vol. 8271, 2013, pp. 257-268.
20. Stamatatos, E., Fakotakis, N., Kokkinakis, G. 2001. Computer-based authorship attribution without lexical measures. In: Computers and the Humanities, pp. 193-214.
21. V.C. Storey Understanding semantic relationships VLDB J. 2 4 1993 455 488
22. J. Veronis Hyperlex: lexical cartography for information retrieval Comput. Speech Lang. 18 3 2004 223 252
23. H. Zha Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering SIGIR 2002 ACM 113 120
24. S. Zhong Generative model-based document clustering: a comparative study Knowledge Inf. Syst. 8 2005 374 384