Mokanarangan Thayaparan

27 papers A* 1A 1B 2C 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Utilizing Multilingual Encoders to Improve Large Language Models for Low-Resource Languages.
CoRR
Imalsha Puranegedara, Themira Chathumina, Nisal Ranathunga, Nisansa de Silva, Surangika Ranathunga, Mokanarangan Thayaparan
2024 — conf
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference.
LREC/COLING
Mokanarangan Thayaparan, Marco Valentino, André Freitas
2024 J jnl
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference.
CoRR
Mokanarangan Thayaparan, Marco Valentino, André Freitas
2022 B conf
Case-Based Abductive Natural Language Inference.
COLING
Marco Valentino, Mokanarangan Thayaparan, André Freitas
2022 — conf
Decomposing Natural Logic Inferences for Neural NLI.
BlackboxNLP@EMNLP
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
2022 J jnl
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference.
Trans. Assoc. Comput. Linguistics
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
2022 J jnl
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers.
CoRR
Mokanarangan Thayaparan, Marco Valentino, André Freitas
2022 A* conf
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration.
AAAI
Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas
2022 — conf
To be or not to be an Integer? Encoding Variables for Mathematical Text.
ACL (Findings)
Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas
2021 J jnl
Decomposing Natural Logic Inferences in Neural NLI.
CoRR
Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanarangan Thayaparan, André Freitas
2021 — conf
Does My Representation Capture X? Probe-Ably.
ACL (demo)
Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
2021 J jnl
Does My Representation Capture X? Probe-Ably.
CoRR
Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
2021 — conf
Explainable Inference Over Grounding-Abstract Chains for Science Questions.
ACL/IJCNLP (Findings)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
2021 J jnl
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference.
CoRR
Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas
2021 J jnl
Supporting Context Monotonicity Abstractions in Neural NLI Models.
CoRR
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
2021 J jnl
Switching Contexts: Transportability Measures for NLP.
CoRR
Guy Marshall, Mokanarangan Thayaparan, Philip Osborne, André Freitas
2021 A conf
Unification-based Reconstruction of Multi-hop Explanations for Science Questions.
EACL
Marco Valentino, Mokanarangan Thayaparan, André Freitas
2021 J jnl
∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization.
CoRR
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
2020 J jnl
A Survey on Explainability in Machine Reading Comprehension.
CoRR
Mokanarangan Thayaparan, Marco Valentino, André Freitas
2020 J jnl
Explainable Natural Language Reasoning via Conceptual Unification.
CoRR
Marco Valentino, Mokanarangan Thayaparan, André Freitas
2020 J jnl
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering.
CoRR
Mokanarangan Thayaparan, Marco Valentino, André Freitas
2020 J jnl
Unification-based Reconstruction of Explanations for Science Questions.
CoRR
Marco Valentino, Mokanarangan Thayaparan, André Freitas
2019 — conf
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks.
TextGraphs@EMNLP
Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas
2019 J jnl
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks.
CoRR
Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas
2018 B conf
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging.
LREC
Mokanarangan Thayaparan, Surangika Ranathunga, Uthayasanker Thayasivam
2016 — conf
Named-Entity-Recognition (NER) for Tamil Language Using Margin-Infused Relaxed Algorithm (MIRA).
CICLing (1)
Pranavan Theivendiram, Megala Uthayakumar, Nilusija Nadarasamoorthy, Mokanarangan Thayaparan, Sanath Jayasena, Gihan Dias, Surangika Ranathunga
2016 C conf
Tamil Morphological Analyzer Using Support Vector Machines.
NLDB
Mokanarangan Thayaparan, Pranavan Theivendiram, Megala Uthayakumar, Nilusija Nadarasamoorthy, Gihan Dias, Sanath Jayasena, Surangika Ranathunga