Proceedings of the 14th ACM international conference on Information and knowledge management
Published 31 October 2005
Citations253
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Welcome to CIKM 2005 -- the Fourteenth ACM Conference on Information and Knowledge Management. The Organizing Committee, and also the numerous sponsors wanted it to be a premier place for the participants to exchange the latest results in the strongly interrelated fields of information retrieval, data bases, and knowledge management.This year, the conference is held the first time outside the United States of America: it takes place in Bremen, Germany, not only one of the famous old European Hanse Cities and one of the contemporary sixteen German States, but also City of Science in Germany for 2005. This fits very well the goal of this conference and all the co-located workshops: staying abreast of the scientific progress and exchanging ideas. We look forward to host the top scientist working in the three conference fields and the workshop subjects.
Keywords
Computer ScienceBusiness, Management and Accounting
SQuAD: 100,000+ Questions for Machine Comprehension of Text
6,328 Citations2016Pranav Rajpurkar, Jian Zhang +2 more
A strong logistic regression model is built, which achieves an F1 score of 51.0%, a significant improvement over a simple baseline (20%).
Mathematical ProgrammingAn analysis of approximations for maximizing submodular set functions—I
4,458 Citations1978George L. Nemhauser, Laurence A. Wolsey +1 more
It is shown that a “greedy” heuristic always produces a solution whose value is at least 1 −[(K − 1/K]K times the optimal value, which can be achieved for eachK and has a limiting value of (e − 1)/e, where e is the base of the natural logarithm.
Natural Language EngineeringA computer-aided environment for generating multiple-choice test items
226 Citations2006Ruslan Mitkov, Le An Ha +1 more
A novel computer-aided procedure for generating multiple-choice test items from electronic documents that makes use of language resources such as corpora and ontologies, and saves both time and production costs.
arXiv (Cornell University)A Joint Model for Question Answering and Question Generation
82 Citations2017Tong Wang, Xingdi Yuan +1 more
A generative machine comprehension model that learns jointly to ask and answer questions based on documents that uses a sequence-to-sequence framework that encodes the document and generates a question given an answer.
Lecture notes in computer scienceMain Core Retention on Graph-of-Words for Single-Document Keyword Extraction
82 Citations2015François Rousseau, Michalis Vazirgiannis
This paper applies the concept of k-core on the graph-of-words representation of text for single-document keyword extraction, retaining only the nodes from the main core as representative terms, the first application of graph degeneracy to natural language processing and information retrieval.
Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners
58 Citations2013Keisuke Sakaguchi, Yuki Arase +1 more
Detailed user evaluation with 3 native and 23 non-native speakers of English shows that the proposed discriminative methods to generate semantic distractors of fill-in-theblank quiz achieve better reliability and validity than previous methods.
Lecture notes in computer scienceAutomatic Generation of Multiple Choice Questions Using Wikipedia
38 Citations2013Arjun Singh Bhatia, Manas Kirti +1 more
This paper presents a system for automatic generation of multiple choice test items using Wikipedia, and proposes a methodology for potential sentence selection with the help of existing test items in the web.
Generating Quiz Questions from Knowledge Graphs
37 Citations2015Dominic Seyler, Mohamed Yahya +1 more
This work proposes an approach to generate natural language questions from knowledge graphs such as DBpedia and YAGO by selecting a query answer, generating a SPARQL query having the answer as its sole result, before verbalizing the question.
International Joint Conference on Artificial IntelligenceQuestimator: generating knowledge assessments for arbitrary topics
31 Citations2016Qi Guo, Chinmay Kulkarni +3 more
Questimator is an automated system that generates multiple-choice assessment questions for any topic contained within Wikipedia, and traverses the Wikipedia graph to find and rank related topics, and uses article text to form questions, answers and distractor options.
TEDQuiz: Automatic Quiz Generation for TED Talks Video Clips to Assess Listening Comprehension
28 Citations2014Yi-Ting Huang, Ya-Min Tseng +2 more
This work presents an automatic quiz generation for TED Talks video clips, called TED Quiz, and proposes an approach to distractor selection for detail question generation that generates grammatically correct but semantically wrong sentences as distractors.