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YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract
We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and events are anchored in both time and space. YAGO2 is built automatically from Wikipedia, GeoNames, andExpand
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YAGO2: exploring and querying world knowledge in time, space, context, and many languages
We present YAGO2, an extension of the YAGO knowledge base with focus on temporal and spatial knowledge. It is automatically built from Wikipedia, GeoNames, and WordNet, and contains nearly 10 millionExpand
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Natural Language Questions for the Web of Data
The Linked Data initiative comprises structured databases in the Semantic-Web data model RDF. Exploring this heterogeneous data by structured query languages is tedious and error-prone even forExpand
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A Language Modeling Approach for Temporal Information Needs
This work addresses information needs that have a temporal dimension conveyed by a temporal expression in the user’s query. Temporal expressions such as “in the 1990s” are frequent, easilyExpand
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A time machine for text search
Text search over temporally versioned document collections such as web archives has received little attention as a research problem. As a consequence, there is no scalable and principled solution toExpand
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PACRR: A Position-Aware Neural IR Model for Relevance Matching
In order to adopt deep learning for information retrieval, models are needed that can capture all relevant information required to assess the relevance of a document to a given user query. WhileExpand
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Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
Neural IR models, such as DRMM and PACRR, have achieved strong results by successfully capturing relevance matching signals. We argue that the context of these matching signals is also important.Expand
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Robust question answering over the web of linked data
Knowledge bases and the Web of Linked Data have become important assets for search, recommendation, and analytics. Natural-language questions are a user-friendly mode of tapping this wealth ofExpand
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Mind the gap: large-scale frequent sequence mining
Frequent sequence mining is one of the fundamental building blocks in data mining. While the problem has been extensively studied, few of the available techniques are sufficiently scalable to handleExpand
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Bridging the Terminology Gap in Web Archive Search
Web archives play an important role in preserving our cultural heritage for future generations. When searching them, a serious problem arises from the fact that terminology evolves constantly. SinceExpand
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