51 citations · 126 across the 15 of their papers we have counts for
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Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study
José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal +2
Background: Eating disorders are increasingly prevalent, and social networks offer valuable information. Objective: Our goal was to identify efficient machine learning models for c…
Falcon 2.0: An Entity and Relation Linking Tool over Wikidata
Ahmad Sakor, Kuldeep Singh, Anery Patel +1
The Natural Language Processing (NLP) community has significantly contributed to the solutions for entity and relation recognition from the text, and possibly linking them to prope…
Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking
Isaiah Onando Mulang, Kuldeep Singh, Akhilesh Vyas +4
The collaborative knowledge graphs such as Wikidata excessively rely on the crowd to author the information. Since the crowd is not bound to a standard protocol for assigning entit…
Towards Optimisation of Collaborative Question Answering over Knowledge Graphs
Kuldeep Singh, Mohamad Yaser Jaradeh, Saeedeh Shekarpour +5
Collaborative Question Answering (CQA) frameworks for knowledge graphs aim at integrating existing question answering (QA) components for implementing sequences of QA tasks (i.e. Q…
Use of Knowledge Graph in Rescoring the N-Best List in Automatic Speech Recognition
Ashwini Jaya Kumar, Camilo Morales, Maria-Esther Vidal +2
With the evolution of neural network based methods, automatic speech recognition (ASR) field has been advanced to a level where building an application with speech interface is a r…