Hosahalli Lakshmaiah Shashirekha

According to our database1, Hosahalli Lakshmaiah Shashirekha authored at least 40 papers between 2010 and 2023.

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

Timeline

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Identification of Voice Disorders: A Comparative Study of Machine Learning Algorithms.
Proceedings of the Speech and Computer - 25th International Conference, 2023

Trigger Detection in Social Media Text.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Profiling Cryptocurrency Influencers with Sentence Transformers.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
A comparative study of syllables and character level N-grams for Dravidian multi-script and code-mixed offensive language identification.
J. Intell. Fuzzy Syst., 2022

Fake news spreaders profiling using N-grams of various types and SHAP-based feature selection.
J. Intell. Fuzzy Syst., 2022

CoLI-Machine Learning Approaches for Code-mixed Language Identification at the Word Level in Kannada-English Texts.
CoRR, 2022

MUCS@Text-LT-EDI@ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning Approach.
Proceedings of the Second Workshop on Language Technology for Equality, 2022

MUCIC@LT-EDI-ACL2022: Hope Speech Detection using Data Re-Sampling and 1D Conv-LSTM.
Proceedings of the Second Workshop on Language Technology for Equality, 2022

Learning Models for Emotion Analysis and Threatening Language Detection in Urdu Tweets.
Proceedings of the Working Notes of FIRE 2022, 2022

Leveraging Dynamic Meta Embedding for Sentiment Analysis and Detection of Homophobic/Transphobic Content in Code-mixed Dravidian Languages.
Proceedings of the Working Notes of FIRE 2022, 2022

Acronym Identification using Transformers and Flair Framework.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021
ADOP FERT-Automatic Detection of Occupations and Profession in Medical Texts using Flair and BERT.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

MUCS@LT-EDI-EACL2021: CoHope-Hope Speech Detection for Equality, Diversity, and Inclusion in Code-Mixed Texts.
Proceedings of the First Workshop on Language Technology for Equality, 2021

Urdu Fake News Detection Using Ensemble of Machine Learning Models.
Proceedings of the Working Notes of FIRE 2021, 2021

Ensemble Based Machine Learning Models for Hate Speech and Offensive Content Identification.
Proceedings of the Working Notes of FIRE 2021, 2021

Ensembled Feature Selection for Urdu Fake News Detection.
Proceedings of the Working Notes of FIRE 2021, 2021

CoSaD- Code-Mixed Sentiments Analysis for Dravidian Languages.
Proceedings of the Working Notes of FIRE 2021, 2021

Arabic Misogyny Identification.
Proceedings of the Working Notes of FIRE 2021, 2021

CoMaTa OLI- Code-Mixed Malayalam and Tamil Offensive Language Identification.
Proceedings of the Working Notes of FIRE 2021, 2021

BiLSTM-Sentiments Analysis in Code Mixed Dravidian Languages.
Proceedings of the Working Notes of FIRE 2021, 2021

MUCIC at CheckThat! 2021: FaDo-Fake News Detection and Domain Identification using Transformers Ensembling.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

HSSD: Hate Speech Spreader Detection using N-grams and Voting Classifier.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
An Approach for Event Detection from News in Indian Languages using Linear SVC.
Proceedings of the Working Notes of FIRE 2020, 2020

MUCS@Dravidian-CodeMix-FIRE2020: SACO-SentimentsAnalysis for CodeMix Text.
Proceedings of the Working Notes of FIRE 2020, 2020

Learning Models for Urdu Fake News Detection.
Proceedings of the Working Notes of FIRE 2020, 2020

LAs for HASOC - Learning Approaches for Hate Speech and Offensive Content Identification.
Proceedings of the Working Notes of FIRE 2020, 2020

An Ensemble Model for Hate Speech and Offensive Content Identification in Indo-European Languages.
Proceedings of the Working Notes of FIRE 2020, 2020

ULMFiT for Twitter Fake News Spreader Profiling.
Proceedings of the Working Notes of CLEF 2020, 2020

Ensemble Model for Profiling Fake News Spreaders on Twitter.
Proceedings of the Working Notes of CLEF 2020, 2020

2019
Amharic-Arabic Neural Machine Translation.
CoRR, 2019

Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition.
CoRR, 2019

Improving Multi-Word Entity Recognition for Biomedical Texts.
CoRR, 2019

DEEP at HASOC2019: A Machine Learning Framework for Hate Speech and Offensive Language Detection.
Proceedings of the Working Notes of FIRE 2019, 2019

2018
Machine Learning Approaches for Amharic Parts-of-speech Tagging.
Proceedings of the 15th International Conference on Natural Language Processing, 2018

Mangalore University INLI@FIRE2018: Artificial Neural Network and Ensemble based Models for INLI.
Proceedings of the Working Notes of FIRE 2018, 2018

2017
Improving NER for Clinical Texts by Ensemble Approach using Segment Representations.
Proceedings of the 14th International Conference on Natural Language Processing, 2017

Mangalore-University@INLI-FIRE-2017: Indian Native Language Identification using Support Vector Machines and Ensemble approach.
Proceedings of the Working notes of FIRE 2017, 2017

2016
Rule based Kannada Agama Sandhi splitter.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

A comparative study of segment representation for biomedical named entity recognition.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

2010
Using ontology for domain specific information retrieval.
Proceedings of the Second International Conference on Digital Image Processing, 2010


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