Amrith Krishna

According to our database1, Amrith Krishna authored at least 30 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs.
CoRR, 2024

CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Samayik: A Benchmark and Dataset for English-Sanskrit Translation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation.
CoRR, 2023

Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Scaling Neural ITN for Numbers and Temporal Expressions in Tamil: Findings for an Agglutinative Low-resource Language.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022
ProoFVer: Natural Logic Theorem Proving for Fact Verification.
Trans. Assoc. Comput. Linguistics, 2022

Linguistically Informed Post-processing for ASR Error correction in Sanskrit.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Benchmark and Dataset for Post-OCR text correction in Sanskrit.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Neural Approaches for Data Driven Dependency Parsing in Sanskrit.
CoRR, 2020

A Graph-Based Framework for Structured Prediction Tasks in Sanskrit.
Comput. Linguistics, 2020

Evaluating Neural Morphological Taggers for Sanskrit.
Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

SHR++: An Interface for Morpho-syntactic Annotation of Sanskrit Corpora.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Building a Word Segmenter for Sanskrit Overnight.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017
A Graph Based Semi-Supervised Approach for Analysis of Derivational Nouns in Sanskrit.
Proceedings of TextGraphs@ACL 2017: the 11th Workshop on Graph-based Methods for Natural Language Processing, 2017

A Dataset for Sanskrit Word Segmentation.
Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2017

2016
Compound Type Identification in Sanskrit: What Roles do the Corpus and Grammar Play?
Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing, 2016

FeRoSA: A Faceted Recommendation System for Scientific Articles.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

SleepSensei: An Automated Sleep Quality Monitor and Sleep Duration Estimator.
Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems, 2016

Word Segmentation in Sanskrit Using Path Constrained Random Walks.
Proceedings of the COLING 2016, 2016

2015
Towards automating the generation of derivative nouns in Sanskrit by simulating Panini.
CoRR, 2015

Automatic Generation and Insertion of Assessment Items in Online Video Courses.
Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015


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