PDF-Some Experiments in Question Answering with a Disambig

Dpto de Sistemas Informaticos y Computacion DSIC Universidad Politecnica de Valencia Spain dbuscaldiprosso dsicupves Abstract This paper describes our approach to the Question Answer ing Word Sense Disambiguation task This task consists in carrying. 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 via . Semantic Enrichment. Huan Sun. *. , . Hao. Ma. #. Scott Wen-tau Yih. #. , Chen-Tse Tsai. . , . Jingjing. Liu. #. , Ming-Wei Chang. #. *. University of California, Santa Barbara. #. Microsoft Research, Redmond. 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). Dung Beetles . Day 2. RADS. R. estate the question. A. nswer the question. D. efend your answer using text. S. ummary sentence . Question 1. Why . does the dung beetle roll dung. ?. R. estate the Question. the ratings to the 34 questions that were asked gives an overall average . “Excellent” rating of 33%, an . overall average . “Good” rating of 43%, and an . overall average . “Fair”/”Needs Improvement” rating of 24%*. Patricia A. Alexander. In all affairs it's a healthy thing now and then to hang a question mark on the things you have long taken for granted. . BERTRAND RUSSELL. GOALS. Overview certain assumptions about question asking and question answering. By. Wesley.W.Chu and Shaorong Liu. Aditya Chintaluri. ITCS6050. XML today. Introduction of Query Relaxation. XML Data Model. XML Query Model. XML Query answer. Relaxation Types. XPRESS. Coop approach to Query Relaxation. the ratings to the 34 questions that were asked gives an overall average . “Excellent” rating of 33%, an . overall average . “Good” rating of 43%, and an . overall average . “Fair”/”Needs Improvement” rating of 24%*. 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. Acts 20:29-30. 29 For I know this, that after my departure savage wolves . will come in among you. , not sparing the flock. . 30 Also . from among yourselves men will rise up. , speaking perverse things, to draw away the disciples after themselves. . I. . The Need for Psychological Science. I. . The Need for Psychological Science. A. . Hindsight bias. B. Overconfidence. 98% Certainty. The area of the US in square miles?. The population of . Australia 2007?. Using LiDAR in the Grand River Grasslands. Progress as of March 1, 2017. Dyan Pursell, GIS Specialist. Results from LiDAR. DEM Processing. Creating a Hydrologically Sound DEM. Generating Streams from a Hydrologically Sound DEM . 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. Standard/Model Recommendation NENA Call Answering Standard/Model Recommendation NENA 56 - 0 05 .1 June 10, 2006 , Revised 8/31/2017 Prepared by: National Emergency Number Association (NENA) Standard