PPT-Open Domain Question Answering

via Semantic Enrichment Huan Sun Hao Ma Scott Wentau Yih ChenTse Tsai Jingjing Liu MingWei Chang University of California Santa Barbara Microsoft Research Redmond. biuacil Maarten de Rijke Informatics Institute University of Amsterdam mdrscienceuvanl Khalil Simaan Institute for Logic Language and Computation University of Amsterdam simaanscienceuvanl Abstract We address Question Answering QA for biograph ical q iaaccn Abstract Community question answering cQA which pro vides a platform for people with diverse back ground to share information and knowledge has become an increasingly popular research topic In this paper we focus on the task of question re tri What is Question Answering?. 2. Question Answering. One of the oldest NLP tasks (punched card systems in 1961). Simmons, Klein, . McConlogue. . 1964. Indexing and Dependency Logic for Answering English Questions. American Documentation 15:30, 196-204. Systems & Resources. Ling573. NLP Systems & Applications. April 8, 2010. Roadmap. Two extremes in QA systems:. LCC’s PowerAnswer-2 . Insight’s Patterns…. Question classification (Li & Roth). Shallow & Deep. Techniques for NLP. Ling571. Deep Processing Techniques for NLP. March 9, 2011. Examples from Dan . Jurafsky. ). Roadmap. Question-Answering: . Definitions & Motivation. Basic pipeline:. AnswerinG. Deliverable 3 – Question Processing. John Gilmer. Michael Foster. Adam Ledyard. Overview. Question Classification. Question Reformulation. Query Expansion. Results. Related Reading. Question Classification. Overview. Ling573. Systems & Applications. April 4. , 2013. Roadmap. Dimensions of the problem. A (very) brief history. Architecture of a QA system. QA and resources. Evaluation. Challenges. Logistics Check-in. Lin Ma, . Zhengdong. Lu, and Hang Li. Huawei Noah’s Ark Lab, Hong Kong. http://. www.ee.cuhk.edu.hk. /~lma. /. . Mine the relationships between multiple modalities. Association different modalities. SWBAT . make . inferences about the character by answering a question.. Get the Close Reader turn to page 3 and preview the text.. Make a prediction. What is the story, “Golden Glass” going to be about?. Kai-Wei Chang. CS @ University of Virginia. kw@kwchang.net. Couse webpage: . http://kwchang.net/teaching/NLP16. 1. CS6501-NLP. Question answering. CS6501– Natural Language Processing. 2. credit: ifunny.com. (including a sketch of Information Retrieval. ). Slides adapted from Dan . Jurafsky. , . Jim . Martin and Ed . Hovy. Web-based Question . Answering. Information Retrieval (briefly. ). Today. The notion of getting computers to give reasonable answers to questions has been around for quite awhile. Many Slides from:. Sanda. . Harabagiu. , Tao Yang. Chris Manning, David . Ferrucci. , . Watson . Team, and Paul Fodor. Outline. Question Answering. Types of QA tasks and approaches. Reading-based QA. Reading Tasks. What is it?. An “Open Response Short Answer” question occurs AFTER a reading selection (informational or narrative text).. You are asked an opinion-based question, which you must support based on the information from the text you’ve just read. Wenhu. Chen, Ming-Wei Chang, Eva . Schlinger. , . William Wang, William W. Cohen. 0. 1. Complex QA over Heterogeneous Web Knowledge. What is the home stadium of Lebron James during NBA season suspended by COVID? .