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02/28/2023
VQA with Cascade of Self- and Co-Attention Blocks
The use of complex attention modules has improved the performance of the...
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12/26/2021
Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy
Large crowd-sourced datasets are often noisy and relation classification...
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11/23/2021
CL-NERIL: A Cross-Lingual Model for NER in Indian Languages
Developing Named Entity Recognition (NER) systems for Indian languages h...
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07/08/2020
IQ-VQA: Intelligent Visual Question Answering
Even though there has been tremendous progress in the field of Visual Qu...
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02/17/2020
CQ-VQA: Visual Question Answering on Categorized Questions
This paper proposes CQ-VQA, a novel 2-level hierarchical but end-to-end ...
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09/13/2019
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases
This work addresses two important questions pertinent to Relation Extrac...
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06/07/2019
Unsupervised Representation Learning of DNA Sequences
Recently several deep learning models have been used for DNA sequence ba...
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04/30/2019
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage
Fine-grained Entity Recognition (FgER) is the task of detecting and clas...
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10/20/2018
A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing
Evolution of entity typing (ET) has led to the generation of multiple da...
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09/03/2017
Investigating how well contextual features are captured by bi-directional recurrent neural network models
Learning algorithms for natural language processing (NLP) tasks traditio...
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08/11/2017
Unified Neural Architecture for Drug, Disease and Clinical Entity Recognition
Most existing methods for biomedical entity recognition task rely on exp...
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08/11/2017
What matters in a transferable neural network model for relation classification in the biomedical domain?
Lack of sufficient labeled data often limits the applicability of advanc...
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05/26/2017
Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models
Biomedical events describe complex interactions between various biomedic...
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05/15/2017
Representation learning of drug and disease terms for drug repositioning
Drug repositioning (DR) refers to identification of novel indications fo...
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02/22/2017
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
Fine-grained entity type classification (FETC) is the task of classifyin...
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01/28/2017
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network
Simultaneous administration of multiple drugs can have synergistic or an...
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06/30/2016
Recurrent neural network models for disease name recognition using domain invariant features
Hand-crafted features based on linguistic and domain-knowledge play cruc...
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06/30/2016