The CUIs returned from Metamap are sent to an SQL query that retrieves the accompanying records from the MRCONSO table.
Sample text:```Eight of the included studies examined the history of changes made to each registry record in order to compare published outcomes with the primary outcome as stated in the registry at either the time of study initiation or prior to completion of enrollment [7, 16, 20, 22, 24, 30, 31, 36].```
Sample intent: result
Sample text:```The items are internally consistent and reproducible and the questionnaire may therefore be considered to have at least as favourable levels of reliability as clinical scores used to assess outcomes (Koran 1975).```
Sample intent: result



Sample text:```The response to a generated question will be supplied in the following conversations, which may be novel but not necessarily occur in the input as that in traditional QG (Du et al., 2017; Yuan et al., 2017; Tang et al., 2017; Wang et al., 2017; Mostafazadeh et al., 2016).```
Sample intent: method



Sample text:```The D-HOTM system is based on the Text Mining Infrast ucture (TMI) developed by the parallel and distributed text mining lab at Lehigh University [20].```
Sample intent: background



Sample text:```This seems to be the main drawback of the current implementation in comparison to the method of Black Jepson (“refined” in Table 1).```
Sample intent: result



Sample text:```In this study, we used the Knowledge Map Concept Indexer (KMCI) (Denny et al., 2009), a general-purpose NLP engine, to process all paper titles from American Journal of Epidemiology (AJE).```
Sample intent: background
Sample text:```The results for veridical recall replicated previous results in the literature (Bal-
lardini et al., 2008; McDermott & Watson, 2001), with the average recall of studied words increas-
ing monotonically as SOA increased.```
Sample intent: result



Sample text:```This seems to be the main drawback of the current implementation in comparison to the method of Black Jepson (“refined” in Table 1).```
Sample intent: result



Sample text:```The response to a generated question will be supplied in the following conversations, which may be novel but not necessarily occur in the input as that in traditional QG (Du et al., 2017; Yuan et al., 2017; Tang et al., 2017; Wang et al., 2017; Mostafazadeh et al., 2016).```
Sample intent: method



Sample text:```Results from a RCT assessing in-person post-test genomic counseling on 199 OSU-CMPC participants were published previously [18].```
Sample intent: method



Sample text:```In this study, we used the Knowledge Map Concept Indexer (KMCI) (Denny et al., 2009), a general-purpose NLP engine, to process all paper titles from American Journal of Epidemiology (AJE).```
Sample intent: background



Sample text:```Our results confi rm previous studies that reached the same conclusion (Boushey et al 1994; Vermeulen et al 2000; Till et al 2005; Marcucci et al 2005).```
Sample intent: result



Sample text:```3, top) was constructed from the previously described 0.85-kb promoter construct (construct 6, Drews et al. 2005) by digestion with AscI and MluI followed by religation.```
Sample intent: method



Sample text:```Eight of the included studies examined the history of changes made to each registry record in order to compare published outcomes with the primary outcome as stated in the registry at either the time of study initiation or prior to completion of enrollment [7, 16, 20, 22, 24, 30, 31, 36].```
Sample intent: result



Sample text:```While this method is known to be generally reliable, there are some questions about the representativeness of the data used [25].```
Sample intent: background



Sample text:```For the assimilation of SMOS brightness temperature data, VIC is coupled with the Community Microwave Emission Model (CMEM) [3-5], which allows for simulating the Top Of the Atmosphere (TOA) brightness temperature contributions of the different surface covers at the hydrologic model resolution.```
Sample intent: background