WikiTableQuestions: a Complex Real-World Question Understanding Dataset - The Stanford Natural Language Processing Group

Natural language question understanding has been one of the most important challenges in artificial intelligence. Indeed, eminent AI benchmarks such as the Turing test require an AI system to understand natural language questions, with various topics and complexity, and then respond appropriately. During the past few years, we have witnessed rapid progress in question answering technology, with virtual assistants like Siri, Google Now, and Cortana answering daily life questions, and IBM Watson winning over humans in Jeopardy!. Many questions the systems encounter are simple lookup questions (e.g., "Where is Chichen Itza?" or "Who's the manager of Man Utd?"). The answers can be found by searching the surface forms.