[PDF] Top 20 Confidence Estimation for Knowledge Base Population

... previous confidence es- timation studies in IE, and most of these have been in the Active Learning ...the confidence in an IE system, but they only esti- mated the confidence of singleton ...the ... See full document

... Knowledge Base Completion With the re- cent popularity of structured KBs such as Free- base (Bollacker et ...2016). Knowledge Vault (Dong et ...the confidence of their extrac- tions and ... See full document

... fulfills the argument type expectations of relations, which can be captured explicitly or implicitly, in the KB, and avoids globally incoherent predic- tions. We formulate this optimization problem in an Integer Linear ... See full document

... Stacking is a popular ensembling method in ma- chine learning (Wolpert, 1992) and has been suc- cessfully used in many applications including the top performing systems in the Netflix competition (Sill et al., 2009). The ... See full document

... The unsupervised method produces aggregated, calibrated confidence scores which go directly into our final meta-classifier. We treat this combination as a single system called the unsupervised ensemble. We add the ... See full document

... Answer extraction: some systems, e.g., IIRG (Byrne and Dunnion, 2010) and CUNY, adapt Question Answering (QA) techniques. With QA, values in the retrieved documents/passages that have the correct targeted types and ... See full document

... Once again, we use the labeled system predictions from the TAC KBP 2015 evaluation and treat them as an exhaustively annotated dataset. To evaluate the pooling methodology we construct an evalua- tion dataset using ... See full document

... for knowledge base population, sim- ple co-reference resolution methods based on synonym gazetteers are equally as effective as supervised co- reference resolution ... See full document

... bootstrap confidence intervals in model based estimation for finite population totals assuming that auxiliary values are available throughout a target population and that the auxiliary values ... See full document

... six confidence intervals for estimating the population σ using RSS compared with the usual SRS technique using data from ten distributions with varying skewness and ... See full document

... squares estimation method and the pseudo-MLE method, we find that although the pseudo-MLE is more popular for parameter estimation for SDEs, least squares estimation gave the same point estimators ... See full document

... the knowledge triples obtained from open information extraction systems into a knowledge base is often impractical due to a vocabulary gap between natural language (NL) expressions and ... See full document

... Each year, 15 million births worldwide are preterm (World Health Organisation, 2015) and in the UK, over 80,000 infants are admitted to neonatal units due to prematurity or sickness (Bliss, 2015). Neonatal Intensive Care ... See full document

... The Pearson correlations between features of the input and average system performance for each year is shown in Tables 1 and 2 for multi- and single-document summarization respectively. The last two columns show ... See full document

... This paper describes our work with the data of the WMT’12 Confidence Estimation shared task. Our contribution is twofold: i) we first present an analysis of the provided data that will stress the difficulty ... See full document

... future estimation technique through sensing especial indications about disturbance, it embedded this indications with handling process of disturbance, after that it represent it using rule bases and create ... See full document

... Cold Start, part of TAC KBP from 2012 through 2017, is designed to evaluate a system's ability to construct a new knowledge base from the information provided in a text collection, by combining technologies ... See full document

... Highlight Since the beginning of the last decade when the competitive environment went through a major transformation due to globalization, manufacturers have intensified their search for such systems that will give ... See full document

... We present a practical use case of knowl- edge base ( KB ) population at the French news agency AFP . The target KB instances are en- tities relevant for news production and con- tent enrichment. In order ... See full document

... This study explores the possible differences in knowledge base between health professionals and the general population in respect to euthanasia.. This project, designed as a qualitative [r] ... See full document