[1] Tohidi, Nasim; Hasheminejad, Seyed Mohammad Hossein;, "MOQAS: Multi-objective question answering system," Journal of Intelligent & Fuzzy Systems, vol. 36, no. 4, pp. 3495-3512, 2019.
[2] Peng, Xiaochang; Gildea, Daniel, "UofR at SemEval-2016 task 8: Learning synchronous hyperedge replacement grammar for AMR parsing," in In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), San Diego, California, 2016.
[3] Peng, Xiaochang; Song, Linfeng; Gildea, Daniel, "A synchronous hyperedge replacement grammar based approach for AMR parsing," in In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, Beijing, China, 2015.
[4] Flanigan, Jeffrey; Thomson, Sam; Carbonell, Jaime; Dyer, Chris; Smith. Noah A., "A Discriminative Graph-Based Parser for the Abstract Meaning Representation," in Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore, Maryland, 2014.
[5] C. Wang, "Abstract Meaning Representation Parsing," PhD thesis, Brandeis University, 2018.
[6] Damonte, Marco; Cohen, Shay B.; Satta, Giorgio, "An Incremental Parser for Abstract Meaning Representation," in Proceedings of EACL, Valencia, Spain, 2017.
[7] Gu, Min; Gu, Yanhui; Luo, Weilan; Xu, Guandong; Yang, Zhenglu; Zhou, Junsheng; Qu, Weiguang, "From text to graph: a general transition-based AMR parsing using neural network," Neural Computing and Applications, 2020.
[8] Barzdins, Guntis; Gosko, Didzis, "RIGA at SemEval- 2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy," in In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), San Diego, California, 2016.
[9] W. C. Mann, "An overview of the Penman text generation system," in In Proceedings of the Third AAAI Conference on Artificial Intelligence, 1983.
[10] Konstas, Ioannis; Iyer, Srinivasan; Yatskar, Mark; Choi, Yejin; Zettlemoyer, Luke, "Neural AMR: Sequence-to-Sequence Models for Parsing and Generation," in In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, 2017.
[11] Pust, Michael; Hermjakob, Ulf; Knight, Kevin; Marcu, Daniel; May, Jonathan, "Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation," in In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, 2015.
[12] Tohidi, Nasim; Dadkhah, Chitra, "A Study on Abstract Meaning Representation Applications," in The first Conference on Artificial Intelligence and Smart Computing, Online, 2022.
[13] Jahanbakhsh-Nagadeh, Zoleikha; Feizi-Derakhshi, Mohammad-Reza; Sharifi, Arash;, "A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors," Journal of Soft Computing and Information Technology, vol. 9, no. 1, pp. 18-27, 2020.
[14] Miri; Ali; Razavi, Seyyed Mohammad; Miri, Ismail;, "Ensemble Recognition of Persian Typed Sub-word in limited Space Using Smart weighted voting," Journal of Soft Computing and Information Technology (JSCIT), vol. 10, no. 3, pp. 60-72, 2021.
[15] Farahani, Mehrdad; Gharachorloo, Mohammad; Farahani, Marzieh; Manthouri, Mohammad, "ParsBERT: Transformer-based Model for Persian Language Understanding," Neural Processing Letters, vol. 53, p. 3831–3847, 2021.
[16] Tohidi, Nasim; Dadkhah, Chitra; Rustamov, Rustam B., "Optimizing Persian Multi-objective Question Answering System," International Journal on Technical and Physical Problems of Engineering (IJTPE), vol. 13, no. 46, pp. 62-69, 2021.
[17] Kazemi, Arefeh; Mozafari, Jamshid; Nematbakhsh, Mohammad Ali, "PersianQuAD: The Native Question Answering Dataset for the Persian Language," IEEE Access, vol. 10, pp. 26045-26057, 2022.
[18] Tohidi, Nasim; Hasheminejad, Seyed Mohammad Hossein, "A Practice of Human-Machine Collaboration for Persian Text Summarization," in The 27th International Computer Conference, the Computer Society of Iran, Online, 2022.
[19] Poon, Hoifung; Domingos, Pedro, "Unsupervised Semantic Parsing," in Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Singapore, 2009.
[20] Chen, Desai; Schneider, Nathan; Das, Dipanjan; Smith, Noah A., "SEMAFOR: Frame Argument Resolution with Log-Linear Models," in Proceedings of the 5th International Workshop on Semantic Evaluation, Uppsala, Sweden, 2010.
[21] Banarescu, Laura; Bonial, Claire; Cai, Shu; Georgescu, Madalina; Griffitt, Kira; Hermjakob, Ulf; Knight, Kevin; Koehn, Philipp; Palmer, Martha; Schneider, Nathan, "Abstract Meaning Representation for Sembanking," in In proceedings of the 7th Linguistic Annotation Workshop & Interoperability with Discourse, Sofia, Bulgaria, 2013.
[22] Kingsbury, Paul; Palmer, Martha, "From TreeBank to PropBank," in Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02), Las Palmas, Canary Islands - Spain, 2002.
[23] K. Cao, "Learning meaning representations for text generation with deep generative models," PhD thesis, University of Cambridge, 2019.
[24] Knight, Kevin; Badarau, Bianca; Baranescu, Laura; Bonial, Claire; Bardocz, Madalina; Griffitt, Kira; Hermjakob, Ulf; Marcu, Daniel; Palmer, Martha; O'Gorman, Tim; Schneider, Nathan, "Abstract Meaning Representation (AMR) Annotation Release 2.0," Linguistic Data Consortium, Philadelphia, 2017.
[25] Van Gysel, Jens E.L.; Vigus, Meagan; Chun, Jayeol; Lai, Kenneth; Moeller, Sarah; Yao, Jiarui; O’Gorman, Tim; Cowell, Andrew; Croft, William; Huang, Chu-Ren; Hajič, Jan; Martin, James H.; Oepen, Stephan; Palmer, Martha; Pustejovsky, James; et al., "Designing a Uniform Meaning Representation for Natural Language Processing," KI - Künstliche Intelligenz, vol. 35, p. 343–360, 2021.
[26] Damonte, Marco; Cohen, Shay B., "Cross-Lingual Abstract Meaning Representation Parsing," in Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, 2018.
[27] Flanigan, Jeffrey; Dyer, Chris; Smith, Noah A.; Carbonell, Jaime, "Generation from abstract meaning representation using tree transducers," in In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, California, 2016b.
[28] Gruzitis, Normunds; Gosko, Didzis; Barzdins, Guntis, "RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation.," in In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), Vancouver, Canada, 2017.
[29] Song, Linfeng; Peng, Xiaochang; Zhang, Yue; Wang, Zhiguo; Gildea, Daniel, "AMR-to-text Generation with Synchronous Node Replacement Grammar," in In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Vancouver, Canada, 2017.
[30] Song, Linfeng; Zhang, Yue; Peng, Xiaochang; Wang, Zhiguo; Gildea, Daniel, "AMR-to-text generation as a Traveling Salesman Problem," in In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, Texas, 2016.
[31] Mille, Simon; Carlini, Roberto; Burga, Alicia; Wanner, Leo , "FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers," in In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), Vancouver, Canada, 2017.
[32] Lampouras, Gerasimos; Vlachos, Andreas, "Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR," in In Proceedings of the 11th InternationalWorkshop on Semantic Evaluation (SemEval-2017), Vancouver, Canada, 2017.
[33] T. Schick, "Transition-Based Generation from Abstract Meaning Representations," Master’s thesis, 2017.
[34] Y. H. Gao, "English Semantic Recognition Based on Abstract Meaning Representation and Vector Space Model," Journal of Physics: Conference Series, vol. 1087, no. 5, 2018.
[35] Ribeiro, Leonardo; Gardent, Claire; Gurevych, Iryna, "Enhancing AMR-to-Text Generation with Dual Graph Representations," in Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Hong Kong, China, 2019.
[36] Lai, Kenneth; Donatelli, Lucia; Pustejovsky, James, "A Continuation Semantics for Abstract Meaning Representation," The Second International Workshop on Designing Meaning Representations, Barcelona, Spain, 2020.
[37] Ilmy, Adylan Roaffa; Khodra, Masayu Leylia, "Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach," arXiv, 2021.
[38] S. Haddadan and M. Bahrani, "Persian Abstractive Summarization using Graph-based Abstract Meaning Representation," Languages and Linguistics Center, Sharif University of Technology, Tehran, Iran, 2017.
[39] Kakaei, Farokh; Rahimi, Saeed; Bahrani, Mohammad, "Generating Text from Abstract Meaning Representation in Persian," Languages and Linguistics Center, Sharif University of Technology, Tehran, Iran, 2020.
[40] Tohidi, Nasim; Dadkhah, Chitra, "A Short Review of Abstract Meaning Representation Applications," Journal of Modeling & Simulation in Electrical & Electronics Engineering, vol. 2, no. 3, pp. 1-9, 2022.
[41] Palmer, Martha; Gildea, Daniel; Kingsbury, Paul, "The Proposition Bank: An Annotated Corpus of Semantic Roles," Computational Linguistics, vol. 31, no. 1, pp. 71-106, 2005.
[42] Mirzaei, Azadeh; Moloodi, Amirsaeid, "Persian Proposition Bank," in 10th edition of the Language Resources and Evaluation Conference, 2016.
[43] Barhom, Shany; Shwartz, Vered; Eirew, Alon; Bugert, Michael; Reimers, Nils; Dagan, Ido;, "Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution," in The 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 2019.
[44] Jurafsky, Daniel; Martin, James H. , Speech and Language Processing, Prentice Hall, 2021.
[45] Guo, Zhijiang; Lu, Wei;, "Better Transition-Based AMR Parsing with a Refined Search Space," in The 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 2018.
[46] Cai, Shu; Knight, Kevin, "Smatch: an Evaluation Metric for Semantic Feature Structures," in The 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Sofia, Bulgaria, 2013.