Feel free to send us a link to your project or research paper related to JATE (either 1.x or 2.x) that you think will be useful or interesting for the others.

Xu, S., Liu, J., Zhai, D., An, X., Wang, Z., & Pang, H. (2018). Overlapping thematic structures extraction with mixed-membership stochastic blockmodel. Scientometrics, 117(1), 61-84.

Zhang, Z., Petrak, J., & Maynard, D. (2018). Adapted TextRank for Term Extraction: A Generic Method of Improving Automatic Term Extraction Algorithms. Procedia Computer Science, 137, 102-108.

Yuan, Y., Gao, Y., Zhang, Y., & Sharoff, S. (2018). Cross-lingual Terminology Extraction for Translation Quality Estimation. In LREC.

Zhang, Z., Gao, J., & Ciravegna, F. (2018). SemRe-Rank: Incorporating Semantic Relatedness to Improve Automatic Term Extraction Using Personalized PageRank. ACM Transactions on Knowledge Discovery from Data (TKDD). Access via https://arxiv.org/abs/1711.03373

Yuan, Y., Gao, J., & Zhang, Y. (2017, October). Supervised Learning for Robust Term Extraction. In The proceedings of 2017 International Conference on Asian Language Processing (IALP). IEEE.

Qiu, Y., Cheng, L., & Alghazzawi, D. (2017, July). Towards a semi-automatic method for building Chinese tax domain ontology. In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) (pp. 2530-2539). IEEE.

Costa, H., Zaretskaya, A., Pastor, G. C., & Seghiri, M. (2016). Nine terminology extraction tools–Are they useful for translators?. Multilingual, April/May.

Astrakhantsev, N. (2016). ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala. arXiv preprint arXiv:1611.07804.

Arora, C., Sabetzadeh, M., Briand, L., & Zimmer, F. (2016). Automated Extraction and Clustering of Requirements Glossary Terms. IEEE Transactions on Software Engineering.

Escartin, C. P., Torres, L. S., UoW, C. O., UMA, A. Z., & Pal, S. (2016). D6. 5: Final User Evaluation. Avail: http:https://expert-itn.eu/sites/default/files/outputs/expert_d6.5_20160830_final_user_evaluation.pdf (accessed on July, 2017)

Chen, J., Jagannatha, A. N., Jarad, S. J., & Yu, H. (2016). Ranking medical jargon in electronic health record notes by adapted distant supervision. arXiv preprint arXiv:1611.04491.

Marín, M. J. (2015) Measuring precision in legal term mining: a corpus-based validation of single and multi-word term recognition methods. English for Special Purposes World, ISSN 1682-3257, www.esp-world.info, Issue 46. Avail: https://www.academia.edu/14515879/Measuring_precision_in_legal_term_mining_a_corpus-based_validation_of_single_and_multi-word_term_recognition_methods (accessed on July, 2017)

Nguyen, M., Ho, T., & Do, P. (2013, November). Social networks analysis based on topic modeling. In Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2013 IEEE RIVF International Conference on (pp. 119-122). IEEE.

Arora, C., Sabetzadeh, M., Briand, L., & Zimmer, F. (2014, September). Improving requirements glossary construction via clustering: approach and industrial case studies. In Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (p. 18). ACM.

Temnikova, I. P., Varga, A., & Biyikli, D. (2014). Building a Crisis Management Term Resource for Social Media: The Case of Floods and Protests. In LREC (pp. 740-747).

Lucanský, M., & Simko, M. (2013, January). Improving Relevance of Keyword Extraction from the Web Utilizing Visual Style Information. In SOFSEM (pp. 445-456).

Maldonado, A., & Lewis, D. Self-tuning ongoing terminology extraction retrained on terminology validation decisions. TERM BASES AND LINGUISTIC LINKED OPEN DATA, 91.