Making medication prescriptions in response to the patient's diagnosis is a challenging task.
The number of pharmaceutical companies, their inventory of medicines, and the …

The huge amount of research papers on the web makes finding a relevant manuscript a
difficult task. In recent years many models were introduced to support researchers by …

Recent years, software defect prediction systems are becoming quite popular since they
improve software reliability by identifying the potential bugs in the code. Several models …

This paper introduces a natural language understanding (NLU) framework for argumentative
dialogue systems in the information-seeking and opinion building domain. The proposed …

The variety and plethora of research papers available on the Web motivated researchers to
propose models that could assist users with personalized citation recommendations. In …

Intent detection and slot filling are the two most essential tasks of natural language
understanding (NLU). Deep neural models have produced impressive results on these …

Recommendation systems assist web users with personalized suggestions based on past
preferences for products, or items including documents, books, movies, and research …

Recommender systems have been used since the beginning of the Web to assist users with
personalized suggestions related to past preferences for items or products including books …

Intent determination and slot filling are two prominent research areas related to natural
language understanding (NLU). In a multi-turn NLU system, contextual information from …

The massive number of research articles on the Web makes it troublesome for researchers
to identify related works that could meet their preferences and interests. Consequently …