Named entity recognition (NER) is the task to identify mentions of rigid designators from text
belonging to predefined semantic types such as person, location, organization etc. NER …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

Search queries are often short, and the underlying user intent may be ambiguous. This
makes it challenging for search engines to predict possible intents, only one of which may …

Users may strive to formulate an adequate textual query for their information need. Search
engines assist the users by presenting query suggestions. To preserve the original search …

Google's PageRank method was developed to evaluate the importance of web-pages via
their link structure. The mathematics of PageRank, however, are entirely general and apply …

Graph theory, a fundamental branch of mathematics, centers on the study of networks
composed of vertices (nodes) and edges, examining their paths, structures, and properties …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Information seeking is a fundamental human activity. In the modern world, it is frequently
conducted through interactions with search systems. The retrieval and comprehension of …

This paper reformulates the problem of recommending related queries on a search engine
as an extreme multi-label learning task. Extreme multi-label learning aims to annotate each …

This open access book covers all facets of entity-oriented search—where “search” can be
interpreted in the broadest sense of information access—from a unified point of view, and …