Embedding

Reliability-aware Dynamic Feature Composition for Name Tagging

Word embeddings are widely used on a variety of tasks and can substantially improve the performance. However, their quality is not consistent throughout the vocabulary due to the long-tail distribution of word frequency. Without sufficient contexts, …

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings

Expert finding is an important task in both industry and academia. It is challenging to rank candidates with appropriate expertise for various queries. In addition, different types of objects interact with one another, which naturally forms …

TrioVecEvent: Embedding-based Online Local Event Detection in Geo-tagged Tweet Streams

Detecting local events (e.g., protest, disaster) at their onsets is an important task for a wide spectrum of applications, ranging from disaster control to crime monitoring and place recommendation. Recent years have witnessed growing interest in …