References

  1. Joaquin Arias, Manuel Carro, Elmer Salazar, Kyle Marple & Gopal Gupta (2018): Constraint answer set programming without grounding. TPLP 18(3-4), pp. 337–354, doi:10.1017/S1471068418000285.
  2. Kinjal Basu, Farhad Shakerin & Gopal Gupta (2020): AQuA: ASP-Based Visual Question Answering. In: Practical Aspects of Declarative Languages. Springer International Publishing, Cham, pp. 57–72, doi:10.1007/978-3-030-39197-3_4.
  3. Michael Gelfond & Yulia Kahl (2014): Knowledge representation, reasoning, and the design of intelligent agents: The answer-set programming approach. Cambridge University Press, doi:10.1017/CBO9781139342124.
  4. Michael Gelfond & Vladimir Lifschitz (1988): The stable model semantics for logic programming.. In: ICLP/SLP 88, pp. 1070–1080.
  5. Sepp Hochreiter & Jürgen Schmidhuber (1997): Long short-term memory. Neural computation 9(8), pp. 1735–1780, doi:10.1162/neco.1997.9.8.1735.
  6. Karin Kipper, Anna Korhonen, Neville Ryant & Martha Palmer (2008): A large-scale classification of English verbs. Language Resources and Evaluation 42(1), pp. 21–40, doi:10.1007/s10579-007-9048-2.
  7. Ankit Kumar (2016): Ask me anything: Dynamic memory networks for natural language processing. In: ICML, pp. 1378–1387, doi:10.1109/ASYU48272.2019.8946411.
  8. Douglas B Lenat (1995): CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM 38(11), pp. 33–38, doi:10.1145/219717.219745.
  9. Beth Levin (1993): English verb classes and alternations: A preliminary investigation. U. Chicago Press, doi:10.1075/fol.2.1.16noe.
  10. Yuliya Lierler, Daniela Inclezan & Michael Gelfond (2017): Action languages and question answering. In: IWCS 2017 - 12th International Conference on Computational Semantics - Short papers.
  11. Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard & David McClosky (2014): The Stanford CoreNLP NLP Toolkit. In: ACL System Demonstrations, pp. 55–60, doi:10.3115/v1/P14-5010.
  12. Mitch Marcus, Beatrice Santorini & Mary Ann Marcinkiewicz (1993): Building a Large Annotated Corpus of English: The Penn Treebank. Computational Linguistics 19(2), pp. 313–330, doi:10.21236/ada273556.
  13. Kyle Marple, Elmer Salazar & Gopal Gupta (2017): Computing stable models of normal logic programs without grounding. arXiv preprint arXiv:1709.00501.
  14. Arindam Mitra & Chitta Baral (2016): Addressing a question answering challenge by combining statistical methods with inductive rule learning and reasoning. In: Proc. AAAI.
  15. Arindam Mitra & Chitta Baral (2018): Incremental and iterative learning of answer set programs from mutually distinct examples. Theory and Practice of Logic Programming 18(3-4), pp. 623–637, doi:10.1017/S1471068418000248.
  16. D. Pendharkar & G. Gupta (2019): An ASP Based Approach to Answering Questions for Natural Language Text. In: International Symposium on PADL. Springer, pp. 46–63, doi:10.1007/978-3-030-05998-9_4.
  17. Peng Qi, Timothy Dozat, Yuhao Zhang & Christopher D Manning (2019): Universal dependency parsing from scratch. arXiv preprint arXiv:1901.10457, doi:10.18653/v1/K18-2016.
  18. Pranav Rajpurkar, Robin Jia & Percy Liang (2018): Know what you don't know: Unanswerable questions for SQuAD. arXiv preprint arXiv:1806.03822, doi:10.18653/v1/P18-2124.
  19. Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev & Percy Liang (2016): SQuAD: 100,000+ Questions for Machine Comprehension of Text. arXiv preprint arXiv:1606.05250, doi:10.18653/v1/D16-1264.
  20. Matthew Richardson, Christopher JC Burges & Erin Renshaw (2013): MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text. In: Proceedings of the 2013 EMNLP, pp. 193–203.
  21. David A Schmidt (1986): Denotational semantics: a methodology for language development, William C. Brown Publishers, Dubuque, IA, USA.
  22. Farhad Shakerin, Elmer Salazar & Gopal Gupta (2017): A new algorithm to automate inductive learning of default theories. Theory and Practice of Logic Programming 17(5-6), pp. 1010–1026, doi:10.1017/s1471068417000333.
  23. Jason Weston (2015): Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. arXiv preprint arXiv:1502.05698.
  24. Yi Yang, Wen-tau Yih & Christopher Meek (2015): WikiQA: A Challenge Dataset for Open-Domain Question Answering. In: Proceedings of the 2015 EMNLP. ACL, Lisbon, Portugal, pp. 2013–2018, doi:10.18653/v1/D15-1237. Available at https://www.aclweb.org/anthology/D15-1237.

Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org