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Tapas Nayak

3 papers here

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

author position
  • sole author1
  • first author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3

identity via Semantic Scholar / OpenAlex

most citedDeep Neural Networks for Relation Extraction

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2021★ 3 cited

Deep Neural Networks for Relation Extraction

Tapas Nayak

Relation extraction from text is an important task for automatic knowledge base population. In this thesis, we first propose a syntax-focused multi-factor attention network model f…

cs.CL2019

Effective Attention Modeling for Neural Relation Extraction

Tapas Nayak, Hwee Tou Ng

Relation extraction is the task of determining the relation between two entities in a sentence. Distantly-supervised models are popular for this task. However, sentences can be lon…

cs.CL2019★ 1 cited

Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction

Tapas Nayak, Hwee Tou Ng

A relation tuple consists of two entities and the relation between them, and often such tuples are found in unstructured text. There may be multiple relation tuples present in a te…

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