Language variety identification using distributed representations of words and documents

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

Volumn 9283, Issue , 2015, Pages 28-40

  Franco Salvador, Marc ^a   Rangel, Francisco ^a,b   Rosso, Paolo ^a   Taulé, Mariona ^c   Martít, M Antòpnia ^c  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b Autoritas Consulting SA   (Spain)

^c UNIVERSITY OF BARCELONA   (Spain)

Author keywords

Author profiling; Distributed representations; Emotion labeled graphs; Information gain word patterns; Language variety identification; TF IDF graphs

Indexed keywords

ASSOCIATION REACTIONS; GRAPHIC METHODS; SEMANTICS;

AUTHOR PROFILING; DISTRIBUTED REPRESENTATION; INFORMATION GAIN; LABELED GRAPHS; TF-IDF GRAPHS; VARIETY IDENTIFICATION;

COMPUTATIONAL LINGUISTICS;

EID: 84945940022     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24027-5_3     Document Type: Conference Paper

References (24)

1. Barto, A.G.: Reinforcement learning: An introduction. MIT press (1998)
2. Bengio, Y., Ducharme, R., Vincent, P., Janvin, C.: A neural probabilistic language model. The Journal of Machine Learning Research 3, 1137–1155 (2003)
3. Dumais, S.T.: Latent semantic analysis. Annual Review of Information Science and Technology 38(1), 188–230 (2004)
4. Gutmann, M.U., Hyvärinen, A.: Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics. The Journal of Machine Learning Research 13(1), 307–361 (2012)
5. Hinton, G.E., McClelland, J.L., Rumelhart, D.E.: Distributed representations. In: Rumelhart, D.E., McClelland, J.L., (eds.) Parallel Distributed Processing: Explorations in the Microstructure of Cognition. MIT Press (1986)
6. Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the International Conference on Empirical Methods in Natural Language Processing (2014)
7. Le, Q.V., Mikolov, T.: Distributed representations of sentences and documents. In: Proceedings of the 31st International Conference on Machine Learning (2014)
8. Levin, B.: English verb classes and alternations. University of Chicago Press, Chicago (1993)
9. Maier, W., Gómez-Rodríguez, C.: Language variety identification in Spanish tweets. In: Proceedings of the EMNLP’2014 Workshop on Language Technology for Closely Related Languages and Language Variants, pp. 25–35. Association for Computational Linguistics, Doha, Qatar, October 2014. http://emnlp2014.org/workshops/LT4CloseLang/call.html
10. Martì, M.A., Bertran, M., Taulé, M., Salamó, M.: Distributional approach based on syntactic dependencies for discovering constructions. Computational Linguistics (2015, under review)
11. Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of Workshop at International Conference on Learning Representations (2013)
12. Mikolov, T., Karafiát, M., Burget, L., Cernocký, J., Khudanpur, S.: Recurrent neural network based language model. In: INTERSPEECH 2010, 11th Annual Conference of the International Speech Communication Association, Makuhari, Chiba, Japan, pp. 1045–1048, September 26–30, 2010
13. Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, vol. 26, pp. 3111–3119 (2013)
14. Mnih, A., Teh, Y.W.: A fast and simple algorithm for training neural probabilistic language models. arXiv preprint arXiv:1206.6426 (2012)
15. Mohammad, S.M., Yang, T.: Tracking sentiment in mail: how gender differ on emotional axes. In: Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (2011)
16. Morin, F., Bengio, Y.: Hierarchical probabilistic neural network language model. In: Proceedings of the International Workshop on Artificial Intelligence and Statistics, pp. 246–252. Citeseer (2005)
17. Pennebaker, J.W.: The secret life of pronouns: What our words say about us. Bloomsbury Press (2011)
18. Rangel, F., Rosso, P.: On the impact of emotions on author profiling. Information Processing & Management, Special Issue on Emotion and Sentiment in Social and Expressive Media (2015, in press)
19. Rangel, F., Rosso, P., Chugur, I., Potthast, M., Trenkmann, M., Stein, B., Verhoeven, B., Daelemans, W.: Overview of the 2nd author profiling task at pan 2014. In: Cappellato, L., Ferro, N., Halvey, M., Kraaij, W. (eds.) CLEF 2014 Labs and Workshops, Notebook Papers. CEUR-WS.org, vol. 1180 (2014)
20. Rangel, F., Rosso, P., Koppel, M., Stamatatos, E., Inches, G.: Overview of the author profiling task at pan 2013. In: Forner P., Navigli R., Tufis, D. (eds.) Notebook Papers of CLEF 2013 LABs and Workshops. CEUR-WS.org, vol. 1179 (2013)
21. Sadat, F., Kazemi, F., Farzindar, A.: Automatic identification of arabic language varieties and dialects in social media. In: Proceeding of the 1st International Workshop on Social Media Retrieval and Analysis SoMeRa (2014)
22. Salton, G., Wong, A., Yang, C.S.: A vector space model for automatic indexing. Communications of the ACM 18(11), 613–620 (1975)
23. Sidorov, G., Miranda-Jimnez, S., Viveros-Jimnez, F., Gelbukh, F., Castro-Snchez, N., Velsquez, F., Daz-Rangel, I., Surez-Guerra, S., Trevio, A., Gordon-Miranda, J.: Empirical study of opinion mining in spanish tweets. In: 11th Mexican International Conference on Artificial Intelligence, MICAI, pp. 1–4 (2012)
24. Zampieri, M., Gebrekidan-Gebre, B.: Automatic identification of language varieties: the case of portuguese. In: Proceedings of the Conference on Natural Language Processing (2012)