Search Results for author: Amit Awekar

Found 8 papers, 6 papers with code

Are Word Embedding Methods Stable and Should We Care About It?

no code implementations17 Apr 2021 Angana Borah, Manash Pratim Barman, Amit Awekar

A representation learning method is considered stable if it consistently generates similar representation of the given data across multiple runs.

Fairness POS +2

Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases

1 code implementation13 Sep 2019 Akshay Parekh, Ashish Anand, Amit Awekar

Further, to address the second question, we canonicalize, filter, and combine the identified relations from the three resources to construct a taxonomical hierarchy.

Relation Extraction

Decoding the Style and Bias of Song Lyrics

1 code implementation17 Jul 2019 Manash Pratim Barman, Amit Awekar, Sambhav Kothari

We focus on two aspects: style and biases of song lyrics.

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage

1 code implementation AKBC 2019 Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar

Fine-grained Entity Recognition (FgER) is the task of detecting and classifying entity mentions to a large set of types spanning diverse domains such as biomedical, finance and sports.

Collective Learning From Diverse Datasets for Entity Typing in the Wild

no code implementations20 Oct 2018 Abhishek Abhishek, Amar Prakash Azad, Balaji Ganesan, Ashish Anand, Amit Awekar

The CLF first creates a unified hierarchical label set (UHLS) and a label mapping by aggregating label information from all available datasets.

Entity Typing

Faster K-Means Cluster Estimation

1 code implementation17 Jan 2017 Siddhesh Khandelwal, Amit Awekar

We propose a fast heuristic to overcome this bottleneck with only marginal increase in MSE.

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