D. Thenmozhi

According to our database, D. Thenmozhi authored at least 23 papers between 2005 and 2020.

Collaborative distances:

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

2020

SSN_NLP at SemEval-2020 Task 7: Detecting Funniness Level Using Traditional Learning with Sentence Embeddings.

Kayalvizhi S, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Tamil Paraphrase Detection Using Encoder-Decoder Neural Networks.

B. Senthil Kumar, D. Thenmozhi, S. Kayalvizhi

Proceedings of the Computational Intelligence in Data Science, 2020

Transformers in Semantic Indexing of Clinical Codes.

Rishivardhan K, Kayalvizhi S, D. Thenmozhi, Sachin Krishan, Chandrabose Aravindan

Proceedings of the Working Notes of CLEF 2020, 2020

2019

SSN_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches.

D. Thenmozhi, B. Senthil Kumar, Srinethe Sharavanan, Chandrabose Aravindan

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network.

B. Senthil Kumar, D. Thenmozhi, Chandrabose Aravindan, Srinethe Sharavanan

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Classification of Insincere Questions using SGD Optimization and SVM Classifiers.

Akshaya Ranganathan, Haritha Ananthakrishnan, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2019, 2019

SSN_NLP@IDAT-FIRE-2019: Irony Detection in Arabic Tweets using Deep Learning and Features-based Approaches.

S. Kayalvizhi, D. Thenmozhi, B. Senthil Kumar, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2019, 2019

Legal Assistance using Word Embeddings.

S. Kayalvizhi, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2019, 2019

Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding.

Haritha Ananthakrishnan, Akshaya Ranganathan, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2019, 2019

Extracting Protests from News Using LSTM models with different Attention Mechanisms.

D. Thenmozhi, Chandrabose Aravindan, Abishek Shyamsunder, Adithya Viswanathan, Akash Kumar Pujari

Proceedings of the Working Notes of CLEF 2019, 2019

Early Detection of Anorexia using RNN-LSTM and SVM Classifiers.

Akshaya Ranganathan, Haritha A, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of CLEF 2019, 2019

Deep Learning Approach for Semantic Indexing of Animal Experiments Summaries in German Language.

S. Kayalvizhi, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of CLEF 2019, 2019

2018

Voice Controlled Robotic Manipulator with Decision Tree and Contour Identification Techniques.

Daniel Jeswin Nallathambi, S. Arul Thileeban, Sailesh Kumar Gajesh, D. Thenmozhi

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

Deep Learning Approach to English-Tamil and Hindi-Tamil Verb Phrase Translations.

D. Thenmozhi, B. Senthil Kumar, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2018, 2018

SSN_NLP@IECSIL-FIRE-2018: Deep Learning Approach to Named Entity Recognition and Relation Extraction for Conversational Systems in Indian Languages.

D. Thenmozhi, Senthil Kumar, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2018, 2018

A Machine Learning Approach to Indian Native Language Identification.

D. Thenmozhi, S. Kayalvizhi, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2018, 2018

2017

SSN_NLP@INLI-FIRE-2017: A Neural Network Approach to Indian Native Language Identification.

D. Thenmozhi, Kawshik Kannan, Chandrabose Aravindan

Proceedings of the Working notes of FIRE 2017, 2017

A Text Similarity Approach for Precedence Retrieval from Legal Documents.

D. Thenmozhi, Kawshik Kannan, Chandrabose Aravindan

Proceedings of the Working notes of FIRE 2017, 2017

2016

Paraphrase Identification by Using Clause-Based Similarity Features and Machine Translation Metrics.

D. Thenmozhi, Chandrabose Aravindan

Comput. J., 2016

An Automatic and Clause-Based Approach to Learn Relations for Ontologies.

D. Thenmozhi, Chandrabose Aravindan

Comput. J., 2016

Feature Engineering and Characterization of Classifiers for Consumer Health Information Search.

D. Thenmozhi, Palaniappan Mirunalini, Chandrabose Aravindan

Proceedings of the Text Processing, 2016

Decision Tree Approach for Consumer Health Information Search.

D. Thenmozhi, Palaniappan Mirunalini, Chandrabose Aravindan

Proceedings of the Working notes of FIRE 2016, 2016

2005

User Model for Conceptual and Personalized Search.

D. Thenmozhi, G. Annapoorani, K. Baskaran, Senthil Kumar

Proceedings of the Computer Recognition Systems, 2005