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ORCIDMokanarangan Thayaparan
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2020 – today
- 2024
[c12]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference. LREC/COLING 2024: 449-458- [i13]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference. CoRR abs/2404.02625 (2024) - 2022
- [j1]Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
:
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference. Trans. Assoc. Comput. Linguistics 10: 1103-1119 (2022) - [c11]Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas:
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration. AAAI 2022: 11403-11411 - [c10]Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas:
To be or not to be an Integer? Encoding Variables for Mathematical Text. ACL (Findings) 2022: 938-948 - [c9]Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Decomposing Natural Logic Inferences for Neural NLI. BlackboxNLP@EMNLP 2022: 394-403 - [c8]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Case-Based Abductive Natural Language Inference. COLING 2022: 1556-1568 - [i12]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers. CoRR abs/2208.03339 (2022) - 2021
- [c7]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Explainable Inference Over Grounding-Abstract Chains for Science Questions. ACL/IJCNLP (Findings) 2021: 1-12 - [c6]Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Does My Representation Capture X? Probe-Ably. ACL (demo) 2021: 194-201 - [c5]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Unification-based Reconstruction of Multi-hop Explanations for Science Questions. EACL 2021: 200-211 - [i11]Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Does My Representation Capture X? Probe-Ably. CoRR abs/2104.05807 (2021) - [i10]Guy Marshall, Mokanarangan Thayaparan, Philip Osborne, André Freitas:
Switching Contexts: Transportability Measures for NLP. CoRR abs/2105.00823 (2021) - [i9]Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas:
∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization. CoRR abs/2105.03417 (2021) - [i8]Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Supporting Context Monotonicity Abstractions in Neural NLI Models. CoRR abs/2105.08008 (2021) - [i7]Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas:
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference. CoRR abs/2107.11879 (2021) - [i6]Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Decomposing Natural Logic Inferences in Neural NLI. CoRR abs/2112.08289 (2021) - 2020
- [i5]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Unification-based Reconstruction of Explanations for Science Questions. CoRR abs/2004.00061 (2020) - [i4]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Explainable Natural Language Reasoning via Conceptual Unification. CoRR abs/2009.14539 (2020) - [i3]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
A Survey on Explainability in Machine Reading Comprehension. CoRR abs/2010.00389 (2020) - [i2]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering. CoRR abs/2010.13128 (2020)
2010 – 2019
- 2019
- [c4]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. TextGraphs@EMNLP 2019: 42-51 - [i1]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. CoRR abs/1910.00290 (2019) - 2018
- [c3]Mokanarangan Thayaparan, Surangika Ranathunga, Uthayasanker Thayasivam:
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging. LREC 2018 - 2016
- [c2]Pranavan Theivendiram, Megala Uthayakumar, Nilusija Nadarasamoorthy, Mokanarangan Thayaparan, Sanath Jayasena, Gihan Dias, Surangika Ranathunga:
Named-Entity-Recognition (NER) for Tamil Language Using Margin-Infused Relaxed Algorithm (MIRA). CICLing (1) 2016: 465-476 - [c1]Mokanarangan Thayaparan, Pranavan Theivendiram, Megala Uthayakumar, Nilusija Nadarasamoorthy, Gihan Dias, Sanath Jayasena, Surangika Ranathunga:
Tamil Morphological Analyzer Using Support Vector Machines. NLDB 2016: 15-23
Coauthor Index
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