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Amit Awekar

Indian Institute of Technology Guwahati

13 papers hereh-index 8580 citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author12

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.IR4
  • cs.DB1
  • cs.LG1
affiliations
  • Indian Institute of Technology Guwahati
Homepage
same name
  • Amit Awekar — 5 papers, h 1
  • Amit Awekar — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedFine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings

3 citations · 6 across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019

Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases

Akshay Parekh, Ashish Anand, Amit Awekar

This work addresses two important questions pertinent to Relation Extraction (RE). First, what are all possible relations that could exist between any two given entity types? Secon…

cs.IR2019

Decoding the Style and Bias of Song Lyrics

Manash Pratim Barman, Amit Awekar, Sambhav Kothari

The central idea of this paper is to gain a deeper understanding of song lyrics computationally. We focus on two aspects: style and biases of song lyrics. All prior works to unders…

cs.CL2019★ 2 cited

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

Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik +2

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 spo…

cs.IR2019

It's Only Words And Words Are All I Have

Manash Pratim Barman, Kavish Dahekar, Abhinav Anshuman +1

The central idea of this paper is to demonstrate the strength of lyrics for music mining and natural language processing (NLP) tasks using the distributed representation paradigm.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.