Raksha Agarwal

According to our database, Raksha Agarwal authored at least 8 papers between 2021 and 2022.

Collaborative distances:

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

2022

Query-focused multi-document text summarization using fuzzy inference.

Raksha Agarwal, Niladri Chatterjee

J. Intell. Fuzzy Syst., 2022

Improvements in Multi-Document Abstractive Summarization using Multi Sentence Compression with Word Graph and Node Alignment.

Raksha Agarwal, Niladri Chatterjee

Expert Syst. Appl., 2022

Profiling Fake News Spreaders on Twitter: A Clickbait and Linguistic Feature Based Scheme.

Raksha Agarwal, Sharut Gupta, Niladri Chatterjee

Proceedings of the Natural Language Processing and Information Systems, 2022

2021

DEPSYM: A Lightweight Syntactic Text Simplification Approach using Dependency Trees.

Niladri Chatterjee, Raksha Agarwal

Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS 2021) co-located with the 37th Conference of the Spanish Society for Natural Language Processing (SEPLN2021), 2021

Gradient Boosted Trees for Identification of Complex Words in Context.

Raksha Agarwal, Niladri Chatterjee

Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS 2021) co-located with the 37th Conference of the Spanish Society for Natural Language Processing (SEPLN2021), 2021

LangResearchLab NC at SemEval-2021 Task 1: Linguistic Feature Based Modelling for Lexical Complexity.

Raksha Agarwal, Niladri Chatterjee

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

MTL782_IITD at CMCL 2021 Shared Task: Prediction of Eye-Tracking Features Using BERT Embeddings and Linguistic Features.

Shivani Choudhary, Kushagri Tandon, Raksha Agarwal, Niladri Chatterjee

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021

LangResearchLab_NC at CMCL2021 Shared Task: Predicting Gaze Behaviour Using Linguistic Features and Tree Regressors.

Raksha Agarwal, Niladri Chatterjee

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021