Amit Awekar

Orcid: 0000-0003-1559-8247

According to our database1, Amit Awekar authored at least 24 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Application Specific Compression of Deep Learning Models.
CoRR, 2024

Effect of dimensionality change on the bias of word embeddings.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Incremental Isolation Forest to Handle Concept Drift in Anomaly Detection.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Compressed Models are NOT Miniature Versions of Large Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Noise in Relation Classification Dataset TACRED: Characterization and Reduction.
CoRR, 2023

Relation Classification Model Performance as a Function of Dataset Label Noise.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Surface Name Errors in Wikipedia.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022
Improving Relation Classification Using Relation Hierarchy.
Proceedings of the Natural Language Processing and Information Systems, 2022

Scaling Up Mass-Based Clustering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy.
CoRR, 2021

Are Word Embedding Methods Stable and Should We Care About It?
Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

2020
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage.
CoRR, 2019

Decoding The Style And Bias of Song Lyrics.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

It's only Words and Words Are All I Have.
Proceedings of the Advances in Information Retrieval, 2019

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2018
A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing.
CoRR, 2018

Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms.
Proceedings of the Advances in Information Retrieval, 2018

2017
On Low Overlap among Search Results of Academic Search Engines.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Faster K-Means Cluster Estimation.
Proceedings of the Advances in Information Retrieval, 2017

Batch Incremental Shared Nearest Neighbor Density Based Clustering Algorithm for Dynamic Datasets.
Proceedings of the Advances in Information Retrieval, 2017

Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2013
Incremental shared nearest neighbor density-based clustering.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013


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