| 2026 | AAAI | SampurNER: Fine-Grained Named Entity Recognition Dataset for 22 Indian Languages. | Prachuryya Kaushik, Ashish Anand |
| 2026 | LREC | CIARAM: Class Imbalance Aware Generative Framework for Relational Argument Mining. | Nilmadhab Das, Sayan Pal, V. V. Saradhi, Ashish Anand |
| 2026 | LREC | FiNERVINER: Fine-grained Named Entity Recognition for Vulnerable Languages of India's North Eastern Region. | Prachuryya Kaushik, Ashish Anand |
| 2026 | LREC | APTFiNER: Annotation Preserving Translation for Fine-grained Named Entity Recognition. | Prachuryya Kaushik, Adittya Gupta, Ajanta Maurya, Gautam Sharma, V. Vijaya Saradhi, Ashish Anand |
| 2026 | LREC | Vrittanta-EN: A Benchmark Dataset for Event Trigger Detection and Classification Advancing Event Understanding in English Narrative Discourse. | Chaitanya Kirti, Ashish Anand, Prithwijit Guha |
| 2026 | LREC | Vrittanta-AS: Dataset Development and Benchmarking for Event Trigger Detection and Classification in Assamese. | Chaitanya Kirti, Dhrubajyoti Pathak, Ashish Anand, Prithwijit Guha |
| 2025 | IJCNLP | CLASSER: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition. | Prachuryya Kaushik, Ashish Anand |
| 2025 | IJCNN | Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Language. | Nilmadhab Das, Vishal Choudhary, V. Vijaya Saradhi, Ashish Anand |
| 2025 | IJCNN | End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction. | Nilmadhab Das, Vishal Vaibhav, Yash Sunil Choudhary, V. Vijaya Saradhi, Ashish Anand |
| 2025 | NAACL | On the Role of Key Phrases in Argument Mining. | Nilmadhab Das, V. Vijaya Saradhi, Ashish Anand |
| 2025 | SIGIR | TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian Languages. | Prachuryya Kaushik, Shivansh Mishra, Ashish Anand |
| 2024 | ICPR | Visual Question Answering with Cascade of Self- and Co-Attention Blocks. | Aakansha Mishra, Ashish Anand, Prithwijit Guha |
| 2023 | COMAD | Relation Classification Model Performance as a Function of Dataset Label Noise. | Akshay Parekh, Ashish Anand, Amit Awekar |
| 2022 | AAAI | CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract). | Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand |
| 2022 | NLDB | Improving Relation Classification Using Relation Hierarchy. | Akshay Parekh, Ashish Anand, Amit Awekar |
| 2020 | COMAD | Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. | Akshay Parekh, Ashish Anand, Amit Awekar |
| 2020 | EMNLP | ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora. | Sayantan Basu, Sinchani Chakraborty, Atif Hassan, Sana Siddique, Ashish Anand |
| 2020 | ICPR | IQ-VQA: Intelligent Visual Question Answering. | Vatsal Goel, Mohit Chandak, Ashish Anand, Prithwijit Guha |
| 2020 | ICPR | Multi-stage Attention based Visual Question Answering. | Aakansha Mishra, Ashish Anand, Prithwijit Guha |
| 2020 | IJCNN | CQ-VQA: Visual Question Answering on Categorized Questions. | Aakansha Mishra, Ashish Anand, Prithwijit Guha |
| 2019 | ACE | Teaching a University-Wide Programming Laboratory: Managing a C Programming Laboratory for a Large Class with Diverse Interests. | Vishv Mohan Malhotra, Ashish Anand |
| 2017 | CoNLL | Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text. | Desh Raj, Sunil Kumar Sahu, Ashish Anand |
| 2017 | EACL | Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. | Abhishek, Ashish Anand, Amit Awekar |
| 2016 | ACL | Recurrent neural network models for disease name recognition using domain invariant features. | Sunil Kumar Sahu, Ashish Anand |
| 2010 | CEC | Integration of functional information of genes in fuzzy clustering of short time series gene expression data. | Ashish Anand, Nikhil R. Pal, Ponnuthurai Nagaratnam Suganthan |
| 2007 | CEC | A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. | Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb |
| 2006 | CIBCB | Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. | Ashish Anand, Gary B. Fogel, E. Ke Tang, Ponnuthurai N. Suganthan |
| 2002 | CEC | Real-coded evolutionary algorithms with parent-centric recombination. | Kalyanrnoy Deb, Dhiraj Joshi, Ashish Anand |