The current state-of-the-art Entity Detection and Linking (EDL) systems are geared towards
general corpora and cannot be directly applied to the specific domain effectively due to the …

The intensive construction of domain-specific knowledge bases (DSKB) has posed an
urgent demand for researches about domain-specific entity detection and linking (DSEDL) …

The rapidly increasing amount of entities in knowledge bases (KBs) can be beneficial for
many applications, where the key issue is to link entity mentions in text with entities in the …

This paper describes the TEDL system for the entity discovery and linking, which compete
the CCKS2016 domain-specific entity discovery and linking task. Given one review text and …

Entity detection is one of the fundamental tasks in Natural Language Processing and
Information Retrieval. Most existing methods rely on human annotated data and hand …

List-only entity linking (EL) is the task of mapping ambiguous mentions in texts to target
entities in a group of entity lists. Different from traditional EL task, which leverages rich …

The traditional named entity detection (NED) and entity linking (EL) techniques cannot be
applied to domain-specific knowledge base effectively. Most of existing techniques just take …

Abstract Recent collective Entity Linking studies usually promote global coherence of all the
mapped entities in the same document by using semantic embeddings and graph-based …

This paper proposes a novel application of topic models to do entity relation detection
(ERD). In order to make use of the latent semantics of text, we formulate the task of relation …

Entity linking (EL) is the process of linking entity mentions appearing in web text with their
corresponding entities in a knowledge base. EL plays an important role in the fields of …