Citation recommendation systems play an important role to alleviate the dilemma that
scholar users spend a lot of time and experiences for literature survey. With the burgeoning …

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

In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

Fast-growing scientific papers pose the problem of rapidly and accurately finding a list of
reference papers for a given manuscript. Citation recommendation is an indispensable …

Benefiting many information retrieval applications, named entity recognition (NER) has
shown impressive progress. Recently, there has been a growing trend to decompose …

Filtering relevant documents with respect to entities is an essential task in the context of
knowledge base construction and maintenance. It entails processing a time-ordered stream …

Abstract Knowledge base population refers to the task of discovering new facts about
entities from a large text corpus, and augmenting a knowledge base with these facts. We …

Bridging unstructured data with knowledge bases is an essential task in many problems
related to natural language understanding. Traditionally, this task is considered in one …

This paper explores Cumulative Citation Recommendation (CCR) for Knowledge Base
Acceleration (KBA). The CCR task aims to detect potential citations of a set of target entities …

With the tremendous proliferation of scientific literature and research papers published every
year, fulfilling a comprehensive literature overview became a tedious and time-consuming …