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Papers in this group

1 - 20 of 233
  1. This paper presents a system which learns to answer questions on a broad range of topics from a knowledge base using few hand-crafted features. Our model learns low-dimensional embeddings of words and knowledge base constituents; these…
  2. Answering natural language questions using the Freebase knowledge base has recently been explored as a platform for advancing the state of the art in open domain semantic parsing. Those efforts map questions to sophisticated meaning representations…
  3. ARCAMA-3D (Augmented Reality for Context Aware Mobile Applications with 3D) is a mobile platform that allows us to overlay a 3D representation of the surroundings with augmented reality objects. In this paper, we show how these 3D objects, which are…
  4. Search engines make significant efforts to recognize queries that can be answered by structured data and invest heavily in creating and maintaining high-precision databases. While these databases have a relatively wide coverage of entities, the…
  5. Knowledge is indispensable to understanding. The ongoing information explosion highlights the need to enable machines to better understand electronic text in human language. Much work has been devoted to creating universal ontologies or taxonomies…
  6. This paper describes the work done by the TOSCA-MP team for the linking subtask. We submitted three sets of runs: text-only with fixed segments, text-only aligned with shot boundaries, and text and visual with fixed segments. Each of these sets…
  7. The main article focus is creating of machine and human readable vocabulary describing emergencies. Vocabulary tends to solve problem of low interoperability and technological and semantic incompatibility of departmental information systems.…
  8. A large number of Open Relation Extraction approaches have been proposed recently, covering a wide range of NLP machinery, from “shallow” (e.g., part-of-speech tagging) to “deep” (e.g., semantic role labeling–SRL). A natural question then is what is…
  9. We describe a new family of non-linear sequence models that are substantially more powerful than hidden Markov models or linear dynamical sys- tems. Our models have simple approximate in- ference and learning procedures that work well in practice.…
  10. Linked Data sources on the Web use a wide range of different vocabularies to represent data describing the same type of entity. For some types of entities, like people or bibliographic record, common vocabularies have emerged that are used by…
  11. A basic step in integration is the identification of linkage points, i.e., finding attributes that are shared (or related) between data sources, and that can be used to match records or entities across sources. This is usually performed using a…