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Harnessing the statistical power of neural networks to perform language understanding and symbolic reasoning is difficult, when… Expand Existing knowledge-based question answering systems often rely on small annotated training data. While shallow methods like… Expand Answering natural language questions over a knowledge base is an important and challenging task. Most of existing systems… Expand Large knowledge bases are being developed to describe entities, their attributes, and their relationships to other entities… Expand Answering natural language questions using the Freebase knowledge base has recently been explored as a platform for advancing the… Expand In this paper, we train a semantic parser that scales up to Freebase. Instead of relying on annotated logical forms, which is… Expand We consider the problem of embedding entities and relationships of multi-relational data in low-dimensional vector spaces. Our… Expand Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web's natural language text… Expand Freebase is a practical, scalable tuple database used to structure general human knowledge. The data in Freebase is… Expand Freebase is a practical, scalable, graph-shaped database of structured general human knowledge, inspired by Semantic Web research… Expand