V. Rudra Murthy

Orcid: 0000-0002-6236-1931

According to our database1, V. Rudra Murthy authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Airavata: Introducing Hindi Instruction-tuned LLM.
CoRR, 2024

PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities.
CoRR, 2024

PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT.
CoRR, 2023

Modelling Political Aggression on Social Media Platforms.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
HiNER: A large Hindi Named Entity Recognition Dataset.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
Simple measures of bridging lexical divergence help unsupervised neural machine translation for low-resource languages.
Mach. Transl., 2021

Language Model Pretraining and Transfer Learning for Very Low Resource Languages.
Proceedings of the Sixth Conference on Machine Translation, 2021

Scrambled Translation Problem: A Problem of Denoising UNMT.
Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, 2021

Crosslingual Embeddings are Essential in UNMT for distant languages: An English to IndoAryan Case Study.
Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, 2021

Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Cognitively Aided Zero-Shot Automatic Essay Grading.
Proceedings of the 17th International Conference on Natural Language Processing, 2020

Looking inside Noun Compounds: Unsupervised Prepositional and Free Paraphrasing using Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Study of Efficacy of Cross-lingual Word Embeddings for Indian Languages.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019
Improving NER Tagging Performance in Low-Resource Languages via Multilingual Learning.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

Ordering Matters: Word Ordering Aware Unsupervised NMT.
CoRR, 2019

Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016
Sharing Network Parameters for Crosslingual Named Entity Recognition.
CoRR, 2016

A Deep Learning Solution to Named Entity Recognition.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

2015
Unsupervised Most Frequent Sense Detection using Word Embeddings.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Using Word Embeddings for Bilingual Unsupervised WSD.
Proceedings of the 12th International Conference on Natural Language Processing, 2015


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