We focus on named entity recognition (NER) for Chinese social media. With massive
unlabeled text and quite limited labelled corpus, we propose a semi-supervised learning …

Efficiently computing the weighted Jaccard similarity has become an active research topic in
machine learning and theory. For sparse data, the standard technique is based on the …

The1 Jaccard similarity has been widely used in search and machine learning, especially in
industrial practice. For binary (0/1) data, the Jaccard similarity is often called the …

To retrieve personalized campaigns and creatives while protecting user privacy, digital
advertising is shifting from member-based identity to cohort-based identity. Under such …

Name ambiguity, due to the fact that many people share an identical name, often
deteriorates the performance of information integration, document retrieval and web search …

This article presents a name disambiguation approach to resolve ambiguities between
person names and group web pages according to the individuals they refer to. The …

An alumni database is a valuable information source for the development of a university.
However, alumni databases tend to be incomplete. It is always possible for phone numbers …

In this paper, we describe fuzzy agglomerative clustering, a brand new fuzzy clustering
algorithm. The basic idea of the proposed algorithm is based on the well-known hierarchical …

Author disambiguation arises when different authors share the same name, which is a
critical task in digital libraries, such as DBLP, CiteULike, CiteSeerX, etc. While the state-of …

In this article, we present a new clustering algorithm for Person Name Disambiguation in
web search results. The algorithm groups web results according to the individuals they refer …