Mokanarangan Thayaparan

According to our database, Mokanarangan Thayaparan authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference.

Mokanarangan Thayaparan, Marco Valentino, André Freitas

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2022

Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference.

Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas

Trans. Assoc. Comput. Linguistics, 2022

Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers.

Mokanarangan Thayaparan, Marco Valentino, André Freitas

CoRR, 2022

Case-Based Abductive Natural Language Inference.

Marco Valentino, Mokanarangan Thayaparan, André Freitas

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Decomposing Natural Logic Inferences for Neural NLI.

Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

To be or not to be an Integer? Encoding Variables for Mathematical Text.

Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration.

Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference.

Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas

CoRR, 2021

Supporting Context Monotonicity Abstractions in Neural NLI Models.

Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas

CoRR, 2021

∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization.

Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas

CoRR, 2021

Switching Contexts: Transportability Measures for NLP.

Guy Marshall, Mokanarangan Thayaparan, Philip Osborne, André Freitas

CoRR, 2021

Unification-based Reconstruction of Multi-hop Explanations for Science Questions.

Marco Valentino, Mokanarangan Thayaparan, André Freitas

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Explainable Inference Over Grounding-Abstract Chains for Science Questions.

Mokanarangan Thayaparan, Marco Valentino, André Freitas

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Does My Representation Capture X? Probe-Ably.

Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

ExplanationLP: Abductive Reasoning for Explainable Science Question Answering.

Mokanarangan Thayaparan, Marco Valentino, André Freitas

CoRR, 2020

A Survey on Explainability in Machine Reading Comprehension.

Mokanarangan Thayaparan, Marco Valentino, André Freitas

CoRR, 2020

Explainable Natural Language Reasoning via Conceptual Unification.

Marco Valentino, Mokanarangan Thayaparan, André Freitas

CoRR, 2020

Unification-based Reconstruction of Explanations for Science Questions.

Marco Valentino, Mokanarangan Thayaparan, André Freitas

CoRR, 2020

2019

Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks.

Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

2018

Graph Based Semi-Supervised Learning Approach for Tamil POS tagging.

Mokanarangan Thayaparan, Surangika Ranathunga, Uthayasanker Thayasivam

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2016

Tamil Morphological Analyzer Using Support Vector Machines.

Mokanarangan Thayaparan, Pranavan Theivendiram, Megala Uthayakumar, Nilusija Nadarasamoorthy, Gihan Dias, Sanath Jayasena, Surangika Ranathunga

Proceedings of the Natural Language Processing and Information Systems, 2016

Named-Entity-Recognition (NER) for Tamil Language Using Margin-Infused Relaxed Algorithm (MIRA).

Pranavan Theivendiram, Megala Uthayakumar, Nilusija Nadarasamoorthy, Mokanarangan Thayaparan, Sanath Jayasena, Gihan Dias, Surangika Ranathunga

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016