Incremental shared nearest neighbor density-based clustering. - Sumeet Singh; Amit Awekar (CIKM, 2013)

Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. - Abhishek; Ashish Anand; Amit Awekar (EACL (1), 2017)

Batch Incremental Shared Nearest Neighbor Density Based Clustering Algorithm for Dynamic Datasets. - Panthadeep Bhattacharjee; Amit Awekar (ECIR, 2017)

Faster K-Means Cluster Estimation. - Siddhesh Khandelwal; Amit Awekar (ECIR, 2017)

On Low Overlap among Search Results of Academic Search Engines. - Anasua Mitra; Amit Awekar (WWW (Companion Volume), 2017)

Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms. - Sweta Agrawal; Amit Awekar (ECIR, 2018)

A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing. - Abhishek; Amar Prakash Azad; Balaji Ganesan; Ashish Anand; Amit Awekar (CoRR, 2018)

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. - Abhishek Abhishek; Sanya Bathla Taneja; Garima Malik; Ashish Anand; Amit Awekar (AKBC, 2019)

It's only Words and Words Are All I Have. - Manash Pratim Barman; Kavish Dahekar; Abhinav Anshuman; Amit Awekar (ECIR (2), 2019)

Collective Learning From Diverse Datasets for Entity Typing in the Wild. - Abhishek Abhishek; Amar Prakash Azad; Balaji Ganesan; Ashish Anand; Amit Awekar (EYRE@CIKM, 2019)

Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary. - Swarup Ranjan Behera; Parag Agrawal; Amit Awekar; Vijaya Saradhi Vedula (ICMLA, 2019)

Decoding The Style And Bias of Song Lyrics. - Manash Pratim Barman; Amit Awekar; Sambhav Kothari (SIGIR, 2019)

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. - Abhishek; Sanya Bathla Taneja; Garima Malik; Ashish Anand; Amit Awekar (CoRR, 2019)

Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. - Akshay Parekh; Ashish Anand; Amit Awekar (COMAD/CODS, 2020)

Are Word Embedding Methods Stable and Should We Care About It? - Angana Borah; Manash Pratim Barman; Amit Awekar (HT, 2021)

Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy. - Akshay Parekh; Ashish Anand; Amit Awekar (CoRR, 2021)

Scaling Up Mass-Based Clustering. - Nidhi Ahlawat; Amit Awekar (CIKM, 2022)

Improving Relation Classification Using Relation Hierarchy. - Akshay Parekh; Ashish Anand; Amit Awekar (NLDB, 2022)

Surface Name Errors in Wikipedia. - Anuj Khare; Amit Awekar (COMAD/CODS, 2023)

Relation Classification Model Performance as a Function of Dataset Label Noise. - Akshay Parekh; Ashish Anand; Amit Awekar (COMAD/CODS, 2023)

Noise in Relation Classification Dataset TACRED: Characterization and Reduction. - Akshay Parekh; Ashish Anand; Amit Awekar (CoRR, 2023)

Compressed Models are NOT Miniature Versions of Large Models. - Rohit Raj Rai; Rishant Pal; Amit Awekar (CIKM, 2024)

Incremental Isolation Forest to Handle Concept Drift in Anomaly Detection. - Nidhi Ahlawat; Amit Awekar (COMAD/CODS, 2024)

Effect of dimensionality change on the bias of word embeddings. - Rohit Raj Rai; Amit Awekar (COMAD/CODS, 2024)

Application Specific Compression of Deep Learning Models. - Rohit Raj Rai; Angana Borah; Amit Awekar (COMAD/CODS (December), 2024)