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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 — 6 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 citedCollective Learning From Diverse Datasets for Entity Typing in the Wild

4 citations · 10 across the 11 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CL2017★ 3 cited

Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings

Abhishek, Ashish Anand, Amit Awekar

Fine-grained entity type classification (FETC) is the task of classifying an entity mention to a broad set of types. Distant supervision paradigm is extensively used to generate tr…

cs.DB2017

Batch Incremental Shared Nearest Neighbor Density Based Clustering Algorithm for Dynamic Datasets

Panthadeep Bhattacharjee, Amit Awekar

Incremental data mining algorithms process frequent updates to dynamic datasets efficiently by avoiding redundant computation. Existing incremental extension to shared nearest neig…

cs.LG2017

Faster K-Means Cluster Estimation

Siddhesh Khandelwal, Amit Awekar

There has been considerable work on improving popular clustering algorithm `K-means' in terms of mean squared error (MSE) and speed, both. However, most of the k-means variants ten…

cs.IR2017

On Low Overlap Among Search Results of Academic Search Engines

Anasua Mitra, Amit Awekar

Number of published scholarly articles is growing exponentially. To tackle this information overload, researchers are increasingly depending on niche academic search engines. Recen…

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