3 accepted papers
Many systems rely on the ability to effectively search through databases of personal and organization entity names in multiple writing scripts. Despite this, there is a relative lack of research studying this problem in isolation. In this work, we discuss this problem in detail and support future re…
Named entity disambiguation (NED) is a critical subtask of entity linking, which seeks to connect knowledge base entities with textual mentions of those entities. Naturally, the performance of a model depends on the domain it was trained on; thus, reducing the amount of data required to train models…
We propose a language-agnostic way of automatically generating sets of semantically similar clusters of entities along with sets of "outlier" elements, which may then be used to perform an intrinsic evaluation of word embeddings in the outlier detection task. We used our methodology to create a gold…