Automated legal text classification is a prominent research topic in the legal field. It lays the
foundation for building an intelligent legal system. Current literature focuses on international …

Natural language processing (NLP) based approaches have recently received attention for
legal systems of several countries. It is of interest to study the wide variety of legal systems …

The field of Natural Language Processing (NLP) has experienced significant growth in
recent years, largely due to advancements in Deep Learning technology and especially …

Data analytics provides important tools and methods for processing the data generated
during legal services. This paper aims to provide a systematic survey of the research papers …

Depression is a widespread and intractable problem in modern society, which may lead to
suicide ideation and behavior. Analyzing depression or suicide based on the posts of social …

Automatic sarcasm detection from text is one important research task in text mining and
natural language processing and has attracted extensive attention from researchers. Most …

We propose bidirectional imparting or BiImp, a generalized method for aligning embedding
dimensions with concepts during the embedding learning phase. While preserving the …

Machine learning algorithms have had a profound impact on the field of computer science
over the past few decades. The performance of these algorithms heavily depends on the …

Coreference resolution of geological entities is an important task in geological information
mining. Although the existing generic coreference resolution models can handle geological …

Abstract Legal Judgment Prediction (LJP) aims to predict the judgment result based on the
fact description of a criminal case, and is gradually becoming a hot research topic in the …