[PDF] Top 20 Knowledge Base Population: Successful Approaches and Challenges

... a knowledge base so that NLP and data mining/database communities have a bet- ter chance to collaborate; it provides opportunities to develop novel training methods such as distant (and noisy) supervision ... 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

... There are also many previous confidence es- timation studies in IE, and most of these have been in the Active Learning literature. Thomp- son et al. (1999) proposed a rule-based extraction method to compute confidence. ... See full document

... the challenges associated with noisy, heuristically labeled Web data for training a clas- sifier to detect the temporal relations, we develop a method with several important ... See full document

... existing knowledge bases requires a system to disambiguate entity mentions in the ...these challenges but also scales to knowledge bases with several million entries using very little ... See full document

... collection-specific approaches to entity linking, similar to those have proven successful for person ...collection-specific knowledge base of organization entities for named mentions in ... See full document

... Table 2 compares our full system (KBC+E+R) to the top performing system in TAC Cold Start 2015 using three different approaches to post-hoc scoring. Without manual effort, our joint model- ing approach exceeds the ... See full document

... background knowledge for RE, most of them for extracting relations from ...different knowledge base, YAGO ...a knowledge base de- rived from ...IE approaches, ... See full document

... ever, knowledge bases are incomplete in the en- tities they contain, due to newly emerging en- tities and entities in the long ...Wikipedia-derived knowledge bases. We need to recognize and handle ... See full document

... supporting knowledge-based decision-making in an innovation ...These challenges can be tackled through the use of evidence databases ...of knowledge management such as scientific discoveries, ... See full document

... supervised approach of Viswanathan et al. (2015) and the auxiliary features approach of Rajani and Mooney (2016) performs substantially worse, al- though still outperforming the top-ranked individual system in the 2015 ... See full document

... the challenges of bureaucratic obstacles and inaccessible portions of the higher education population, the results of this study suggest that the tenets of environmental education can become more prominent ... See full document

... baseline approaches that build upon state-of-the-art KBP systems (Sec- tion ...baseline approaches, comparing their performance to human performance (Section ... 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

... According to first population census the urban population share of Balochistan was 12.38 percent. In the census of 1981 it raised to 15.62 percent. During the 1981 to 1998 time period the urban share ... See full document

... To tackle the multi-hop link prediction problem, various approaches have been proposed. Some earlier works like PRA (Lao et al., 2011; Gard- ner et al., 2014, 2013) use bounded-depth ran- dom walk with restarts to ... See full document

... Knowledge base – how outdoor environments influence health and well-being As approximately 80 per cent of the UK population live in urban areas defined as an area with a population over [r] ... 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

... Also, the level of abstraction at which we formalize domain terms should be learnt via extensive experience with that particular term [4]. For example, sometimes, simple text-based descriptions of meta-knowledge ... See full document

... cloud base height (CBH) ...cloud base height and cloud thickness were developed in 1978. Cloud base height is the height of a layer where relative humidity first exceeds ...cloud base height ... See full document