Извлечение аспектных терминов на основе условных случайных полей и векторных представлений слов
https://doi.org/10.15514/ISPRAS-2016-28(6)-16
Аннотация
Об авторах
Д. О. МашкинРоссия
Е. В. Котельников
Россия
Список литературы
1. Liu B., Sentiment analysis and opinion mining. Synthesis lectures on human language technologies, 5(1), 2012, pp. 1-167.
2. Pontiki M., Galanis D., Pavlopoulos J., Papageorgiou H., Androutsopoulos I., Manandhar S. Semeval-2014 task 4: Aspect based sentiment analysis. Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014), 2014, pp. 27-35.
3. Loukachevitch N., Blinov P., Kotelnikov E., Rubtsova Y., Ivanov V., Tutubalina E. SentiRuEval: Testing Object-oriented Sentiment Analysis Systems in Russian. Proceedings of the 21st International Conference on Computational Linguistics (Dialog-2015), 2015, volume 2, pp. 12-24.
4. Pontiki M., Galanis D., Papageorgiou H., Androutsopoulos I., Manandhar S., AL-Smadi M., Al-Ayyoub M., Zhao Y., Qin B., De Clercq O., Hoste V., Apidianaki M., Tannier X., Loukachevitch N., Kotelnikov E., Bel N., Zafra S. M. J., Eryigit G. Semeval-2016 task 5: Aspect based sentiment analysis. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016, pp. 19-30.
5. Андрианов И., Майоров В., Турдаков Д. Современные методы аспектно-ориентированного анализа эмоциональной окраски. Труды ИСП РАН, том 27, вып. 5, 2015 г., стр. 5-22. DOI: 10.15514/ISPRAS-2015-27(5)-1.
6. Ivanov V., Tutubalina E., Mingazov N., Alimova I. Extracting Aspects, Sentiment and Categories of Aspects in User Reviews about Restaurants and Cars. Proceedings of the 21st International Conference on Computational Linguistics (Dialog-2015), 2015, volume 2, pp. 46-57.
7. Jakob N., Gurevych I., Extracting opinion targets in a single-and cross-domain setting with conditional random fields, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010, pp. 1035-1045.
8. Xenos D., Theodorakakos P., Pavlopoulos J., Malakasiotis P., Androutsopoulos I. AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016, pp. 312-317.
9. Hamdan H. SentiSys at SemEval-2016 Task 5: Opinion Target Extraction and Sentiment Polarity Detection. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016, pp. 350-355.
10. 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, 2013, pp. 3111-3119.
11. Blinov P. D., Kotelnikov E. V. Semantic Similarity for Aspect-Based Sentiment Analysis. Proceedings of the 21st International Conference on Computational Linguistics Dialog-2015, 2015, volume 2, pp. 36-45.
12. Toh Z., Su J. NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016, pp. 282-288.
13. Hu M., Liu B. Mining and summarizing customer reviews. Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining, 2004, pp. 168-177.
14. Popescu A. M., Nguyen B., Etzioni O. OPINE: Extracting product features and opinions from reviews. Proceedings of HLT/EMNLP on interactive demonstrations, 2005, pp. 32-33.
15. Turney P. D. Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL. Proceedings of the 12th European Conference on Machine Learning, 2001, pp. 491-502.
16. Scaffidi C., Bierhoff K., Chang E., Felker M., Ng H., Jin C. Red Opal: product-feature scoring from reviews. Proceedings of the 8th ACM conference on Electronic commerce, 2007, pp. 182-191.
17. Hofmann T. Probabilistic latent semantic indexing. Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval, 1999, pp. 50-57.
18. Blei D. M., Ng A. Y., Jordan M. I. Latent Dirichlet Allocation. Journal of machine Learning research, 2003, pp. 993-1022.
19. Mukherjee A, Liu B. Aspect extraction through semi-supervised modeling. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012, volume 1, pp. 339-348.
20. Titov I., McDonald R., Modeling online reviews with multi-grain topic models. Proceedings of the 17th international conference on World Wide Web. ACM, 2008, pp 111-120.
21. Müller A.C., Behnke S. PyStruct: learning structured prediction in python. Journal of Machine Learning Research 15(1), 2014, pp. 2055-2060.
22. Segalovich I. A Fast Morphological Algorithm with Unknown Word Guessing Induced by a Dictionary for a Web Search Engine. In MLMTA, 2003, pp. 273-280.
23. Ramshaw L. A., Marcus M. P. Text chunking using transformation-based learning. Natural language processing using very large corpora, Springer Netherlands, 1999, pp. 157-176.
24. Kutuzov A, Andreev I. Texts in, meaning out: neural language models in semantic similarity task for Russian. Proceedings of the 21st International Conference on Computational Linguistics Dialog-2015, 2015, volume 2, pp. 133-144.
25. Panchenko A., Loukachevitch N. V., Ustalov D., Paperno D., Meyer C. M., Konstantinova N. Russe: The first workshop on russian semantic similarity. Proceedings of the 21st International Conference on Computational Linguistics Dialog-2015, 2015, volume 2, pp. 89-105.
26. Plungian V. A. Why we make Russian National Corpus? Otechestvennye Zapiski 2, 2005.
27. Sharov S, Nivre J. The proper place of men and machines in language technology. Processing Russian without any linguistic knowledge. Proceedings of the 17th International Conference on Computational Linguistics Dialog-2011, 2011, pp. 657-670.
Рецензия
Для цитирования:
Машкин Д.О., Котельников Е.В. Извлечение аспектных терминов на основе условных случайных полей и векторных представлений слов. Труды Института системного программирования РАН. 2016;28(6):223-240. https://doi.org/10.15514/ISPRAS-2016-28(6)-16
For citation:
Mashkin D.O., Kotelnikov E.V. Aspect term extraction based on word embedding. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2016;28(6):223-240. (In Russ.) https://doi.org/10.15514/ISPRAS-2016-28(6)-16