9 citations · 24 across the 7 of their papers we have counts for
7 papers
Siamese Neural Networks with Random Forest for detecting duplicate question pairs
Ameya Godbole, Aman Dalmia, Sunil Kumar Sahu
Determining whether two given questions are semantically similar is a fairly challenging task given the different structures and forms that the questions can take. In this paper, w…
Investigating how well contextual features are captured by bi-directional recurrent neural network models
Kushal Chawla, Sunil Kumar Sahu, Ashish Anand
Learning algorithms for natural language processing (NLP) tasks traditionally rely on manually defined relevant contextual features. On the other hand, neural network models using…
What matters in a transferable neural network model for relation classification in the biomedical domain?
Sunil Kumar Sahu, Ashish Anand
Lack of sufficient labeled data often limits the applicability of advanced machine learning algorithms to real life problems. However efficient use of Transfer Learning (TL) has be…
Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition
Sunil Kumar Sahu, Ashish Anand
Most existing methods for biomedical entity recognition task rely on explicit feature engineering where many features either are specific to a particular task or depends on output…
Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models
Patchigolla V S S Rahul, Sunil Kumar Sahu, Ashish Anand
Biomedical events describe complex interactions between various biomedical entities. Event trigger is a word or a phrase which typically signifies the occurrence of an event. Event…
Recurrent neural network models for disease name recognition using domain invariant features
Sunil Kumar Sahu, Ashish Anand
Hand-crafted features based on linguistic and domain-knowledge play crucial role in determining the performance of disease name recognition systems. Such methods are further limite…