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.
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.
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.
Michael Gelfond & Vladimir Lifschitz (1988):
The stable model semantics for logic programming..
In: ICLP/SLP 88,
pp. 1070–1080.
Sepp Hochreiter & Jürgen Schmidhuber (1997):
Long short-term memory.
Neural computation 9(8),
pp. 1735–1780,
doi:10.1162/neco.1997.9.8.1735.
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.
Ankit Kumar (2016):
Ask me anything: Dynamic memory networks for natural language processing.
In: ICML,
pp. 1378–1387,
doi:10.1109/ASYU48272.2019.8946411.
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.
Beth Levin (1993):
English verb classes and alternations: A preliminary investigation.
U. Chicago Press,
doi:10.1075/fol.2.1.16noe.
Yuliya Lierler, Daniela Inclezan & Michael Gelfond (2017):
Action languages and question answering.
In: IWCS 2017 - 12th International Conference on Computational Semantics - Short papers.
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.
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.
Kyle Marple, Elmer Salazar & Gopal Gupta (2017):
Computing stable models of normal logic programs without grounding.
arXiv preprint arXiv:1709.00501.
Arindam Mitra & Chitta Baral (2016):
Addressing a question answering challenge by combining statistical methods with inductive rule learning and reasoning.
In: Proc. AAAI.
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.
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.
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.
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.
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.
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.
David A Schmidt (1986):
Denotational semantics: a methodology for language development, William C.
Brown Publishers, Dubuque, IA, USA.
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.
Jason Weston (2015):
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.
arXiv preprint arXiv:1502.05698.
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.