{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T08:43:11Z","timestamp":1725525791171},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/bigdata.2017.8258456","type":"proceedings-article","created":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T17:47:28Z","timestamp":1516038448000},"page":"4287-4292","source":"Crossref","is-referenced-by-count":0,"title":["Combining pattern matching with word embeddings for the extraction of experimental variables from scientific literature"],"prefix":"10.1109","author":[{"given":"Helena F.","family":"Deus","sequence":"first","affiliation":[]},{"given":"Corey","family":"Harper","sequence":"additional","affiliation":[]},{"given":"Darin","family":"McBeath","sequence":"additional","affiliation":[]},{"given":"Ron","family":"Daniel","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/240403"},{"journal-title":"Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural Networks","year":"2017","author":"dasigi","key":"ref11"},{"key":"ref12","first-page":"71","article-title":"Relation extraction from clinical texts using domain invariant convolutional neural network","author":"kumar sahu","year":"2016","journal-title":"Proc 15th Work Biomed Nat Lang Process"},{"key":"ref13","first-page":"3567","author":"ratner","year":"2016","journal-title":"Data Programming Creating Large Training Sets Quickly"},{"journal-title":"Snorkel and The Dawn of Weakly Supervised Machine Learning Stanford DAWN","year":"0","author":"ratner","key":"ref14"},{"journal-title":"ScienceDirect Search API","year":"0","key":"ref15"},{"key":"ref16","first-page":"1","author":"management","year":"2007","journal-title":"Release note of the Journal Article Input DTD JA 5 0 2"},{"key":"ref17","article-title":"Large Scale Text Analytics with Apache Spark","author":"daniel","year":"2015","journal-title":"Text Analytics World"},{"key":"ref18","article-title":"Content Analytics Toolbench(CAT): a flexible single point of access for content enhancement and data analytics across massive corpora","author":"daniel","year":"2017","journal-title":"D-Lib Mag"},{"key":"ref19","article-title":"Apache Spark™ - Lightning-Fast Cluster Computing","author":"spark","year":"2015","journal-title":"Spark apache org"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-5010"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms7426"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/11573036_36"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-15-59"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1002854"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0154556"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1304291110"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-10-390"},{"key":"ref9","article-title":"Distributional Semantics Resources for Biomedical Text Processing","author":"pyysalo","year":"2013","journal-title":"Proceedings of LBM 2013"},{"journal-title":"AnnotationQuery GitHub Page","year":"0","author":"mcbeath","key":"ref20"},{"journal-title":"Keras","year":"0","author":"chollet","key":"ref22"},{"journal-title":"A training set for sentences describing temperature housing conditions for mice","year":"0","author":"deus","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2016.08.021"},{"journal-title":"Guide for the Care and Use of Laboratory Animals","article-title":"Institute for Laboratory Animal Research","year":"2011","key":"ref23"}],"event":{"name":"2017 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2017,12,11]]},"location":"Boston, MA","end":{"date-parts":[[2017,12,14]]}},"container-title":["2017 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8241556\/8257893\/08258456.pdf?arnumber=8258456","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,5]],"date-time":"2018-02-05T17:32:46Z","timestamp":1517851966000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8258456\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2017.8258456","relation":{},"subject":[],"published":{"date-parts":[[2017,12]]}}}