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Ashish Anand

Indian Institute of Technology Guwahati

16 papers hereh-index 121.5k citations35 works total

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

author position
  • middle author6
  • last author10

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • cs.CV1
  • cs.IR1
  • q-bio.GN1
affiliations
  • Indian Institute of Technology Guwahati
  • Indian Institute of Technology Kanpur
  • Nanyang Technological University
Homepage
same name
  • Ashish Anand — 2 papers, h 1
  • Ashish Anand — 1 paper, h 0
  • Ashish Anand — 1 paper, h 2

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
20152023
most citedDrug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network

33 citations · 58 across the 16 of their papers we have counts for

collaborators
Showing 2019Show all

3 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…

q-bio.GN2019★ 4 cited

Unsupervised Representation Learning of DNA Sequences

Vishal Agarwal, N Jayanth Kumar Reddy, Ashish Anand

Recently several deep learning models have been used for DNA sequence based classification tasks. Often such tasks require long and variable length DNA sequences in the input. In t…

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…

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