- published: 30 Apr 2012
- views: 5529
Question Answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language.
A QA implementation, usually a computer program, may construct its answers by querying a structured database of knowledge or information, usually a knowledge base. More commonly, QA systems can pull answers from an unstructured collection of natural language documents.
Some examples of natural language document collections used for QA systems include:
QA research attempts to deal with a wide range of question types including: fact, list, definition, How, Why, hypothetical, semantically constrained, and cross-lingual questions.
If you are interest on more free online course info, welcome to: http://opencourseonline.com/ Professor Dan Jurafsky & Chris Manning are offering a free online course on Natural Language Processing starting in March 19, 2012. http://www.nlp-class.org/ Offered by Coursera: https://www.coursera.org/
Natural-language question answering (QA) has clear practical and scientific values, such as evaluating a machine’s understanding of a domain, or providing succinct and precise answers to search engine queries. While both Bing and Google have incorporated more “semantics” to return direct answers to queries, QA is far from solved, and is becoming more important as natural language interaction becomes popular (e.g., Siri and Cortana). In this session, we invite experts from both academia and Microsoft to present recent technologies for improving QA. The topics include traditional IR approaches for QA, machine reading for knowledge acquisition and representation, and semantic parsing for answering questions using structured databases like Freebase or Satori. In addition, we invite product gro...
Presentation by Mohit Iyyer at DC NLP October 2015 meetup Mohit Iyyer, a PhD student at the University of Maryland, describes his research into Deep Learning for Question Answering. Mohit discusses neural network models designed to solve the following types of QA problems without using any hand-engineered features: • Factoid QA: a recursive neural network that can beat humans at quiz bowl, a trivia game similar to Jeopardy • Reasoning-based QA: a memory network architecture that uses an attention mechanism to store and retrieve relevant facts • Visual QA: a convolutional / recurrent neural network that can answer questions about images Recorded by Christopher Phipps (Mohit's talk required some splicing due to phone's memory limit on video files -- had to keep restarting the camera aft...
Going Beyond Fact-Based Question Answering Erik T. Mueller http://xenia.media.mit.edu/~mueller/ To solve the AI problem, we need to develop systems that go beyond answering fact-based questions. Watson has been hugely successful at answering fact-based questions, but to solve hard AI tasks like passing science tests and understanding narratives, we need to go beyond simple facts. In this talk, I discuss how the systems I have most recently worked on have approached this problem. Watson for Healthcare answers Doctor's Dilemma medical competition questions, and WatsonPaths answers medical test preparation questions. These systems have achieved some success, but there is still a lot more to be done. Based on my experiences working on these systems, I discuss what I think the priorities sho...
"Questions" asks simple questions about things you should know, but once you're put under pressure, you all of a sudden blow it. Hosted By: @DanHilarious Executive Producer: @Qworldstar Watch other Episodes of Questions here: http://bit.ly/WSHHQuestions SUBSCRIBE to the Official WorldStarHipHop Channel for more original Worldstar material, music video premieres, and more: http://goo.gl/jl4las More WorldStarHipHop: http://worldstarhiphop.com https://twitter.com/worldstar (Follow) https://fb.com/worldstarhiphop (Like) http://instagram.com/realwshh (Photos) http://shop.worldstarhiphop.com (Shop)
08 common Interview question and answers - Job Interview Skills 1. "Tell me a little about yourself." You should take this opportunity to show your communication skills by speaking clearly and concisely in an organized manner. Because there is no right or wrong answer for this question, it is important to appear friendly. 2. "What are your strengths?" This is a popular interview question. They want to know what you think of yourself. Although this is a general question, there is a wrong and right answer. The wrong answer is a generic answer saying you are organized and friendly. Although it will not hurt you during the interview, it will certainly not help you either. Answer this question based on the type of job you are applying for. 3. "What are your weaknesses?" For this answer,...
Answering the Biggest Objections to Christianity by Dr. Ravi Zacharias A 90 minute Question and Answering forum about the tough questions. Visit https://thetheology.org for more Q/A
Demo of question answering system: natural language interface to dbpedia. This question answering system based on dbpedia ontology and properties. This application allows users to ask questions in Natural language, using their own terminology, and receive a concise answer.
Prof. Dhruv Batra, Virginia Tech, Visual Question Answering