Most modern recommender systems predict users' preferences with two components: user
and item embedding learning, followed by the user-item interaction modeling. By utilizing …

This paper provides an extensive and thorough overview of the models and techniques
utilized in the first and second stages of the typical information retrieval processing chain …

Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towards a specific
aspect in the given sentence. While pre-trained language models such as BERT have …

Text semantic matching is a fundamental task that has been widely used in various
scenarios, such as community question answering, information retrieval, and …

The development of cognitive robotics brings an attractive scenario where humans and
robots cooperate to accomplish specific tasks. To facilitate this scenario, cognitive robots are …

Ranking models are the main components of information retrieval systems. Several
approaches to ranking are based on traditional machine learning algorithms using a set of …

Text classification is one of the fundamental tasks in natural language processing, which
requires an agent to determine the most appropriate category for input sentences. Recently …

Sentence semantic matching is one of the fundamental tasks in natural language
processing, which requires an agent to determine the semantic relation among input …

Sentence semantic matching is a core research area in natural language processing, which
is widely used in various natural language tasks. In recent years, attention mechanism has …

With the development of Internet of Things and cloud computing, intelligent question-
answering (QA) has brought great convenience to human's daily activities. As one of the …