Markov models are one of the widely used techniques in machine learning to process
natural language. Markov Chains and Hidden Markov Models are stochastic techniques …

Automatic knowledge graph construction seeks to build a knowledge graph from
unstructured text in a specific domain or cross multiple domains, without human intervention …

Piano transcription systems are typically optimized to estimate pitch activity at each frame of
audio. They are often followed by carefully designed heuristics and post-processing …

Abstract Segmentation and Rhetorical Role Labeling of legal judgements play a crucial role
in retrieval and adjacent tasks, including case summarization, semantic search, argument …

Span-based nested named-entity recognition (NER) has a cubic-time complexity using a
variant of the CYK algorithm. We show that by adding a supplementary structural constraint …

Music is one of the most important factors of human lives. People express their inner
thoughts, emotions and feelings with the combination of both lyrics and musical instruments …

Abstract The Coronavirus Disease 2019 (COVID-19) has roamed for almost two years now.
Every country has applied its strategies in facing and handling this pandemic, including …

Named entity recognition (NER) is an important task in the natural language processing
field. Existing NER methods heavily rely on labeled data for model training, and their …

How would you explain Bill Gates to a German? He is associated with founding a company
in the United States, so perhaps the German founder Carl Benz could stand in for Gates in …

In this digital era, machine learning is a technology that is in demand by organizations and
individuals. In the age of data and digital information, the ability to process data efficiently is …