In natural language processing, short-text semantic similarity (STSS) is a very prominent
field. It has a significant impact on a broad range of applications, such as question …

2)(百度公司, 北京100085) 摘要面向搜索引擎的实体推荐任务旨在为用户输入的搜索查询推荐
出相关实体, 从而帮助用户发现感兴趣的实体, 提升用户的搜索体验. 此外, 为了帮助用户更好地 …

Nowadays, more and more corpora in Internet consist of short texts, such as QA queries,
posts in social media and news titles. Entity linking for these short texts is quite important …

Named Entity Disambiguation (NED) and linking has been traditionally evaluated on natural
language content that is both well-written and contextually rich. However, many NED …

Continuous efforts have been devoted to language understanding (LU) for conversational
queries with the fast and wide-spread popularity of voice assistants. In this paper, we first …

短文本实体链接由于缺乏主题信息, 只能依靠局部短文本信息和知识库. 现有方法主要通过计算
局部短文本和候选实体之间的相似度完成候选实体集的排序, 但并未显式地考虑局部短文本和 …

In this paper, we present a framework for extraction and disambiguation of hyphenated and
partially named entities in news headlines. The direct application of state-of-the-art named …

The purpose of product entity matching tasks is to identify whether different product entity
data entries in fact refer to the same real-world product entity. Such tasks are crucial to the …

The task of entity linking aims to correctly link mentions in a text fragment to a reference
knowledge base. Most existing methods apply single neural network model to learn …

Multimodal entity linking aims to link mentions to target entities in the multimodal knowledge
graph. The current multimodal entity linking mainly focuses on the global fusion of text and …