12 Commits

Author	SHA1	Message	Date
svlandeg	24db1392b9	reprocessing all of wikipedia for training data	2019-06-16 21:14:45 +02:00
svlandeg	81731907ba	performance per entity type	2019-06-14 19:55:46 +02:00
svlandeg	0b04d142de	regenerating KB	2019-06-13 22:32:56 +02:00
svlandeg	78dd3e11da	write entity linking pipe to file and keep vocab consistent between kb and nlp	2019-06-13 16:25:39 +02:00
svlandeg	fe1ed432ef	eval on dev set, varying combo's of prior and context scores	2019-06-11 11:40:58 +02:00
svlandeg	83dc7b46fd	first tests with EL pipe	2019-06-10 21:25:26 +02:00
svlandeg	61f0e2af65	code cleanup	2019-06-06 20:22:14 +02:00
svlandeg	d8b435ceff	pretraining description vectors and storing them in the KB	2019-06-06 19:51:27 +02:00
svlandeg	5c723c32c3	entity vectors in the KB + serialization of them	2019-06-05 18:29:18 +02:00
svlandeg	9f33732b96	using entity descriptions and article texts as input embedding vectors for training	2019-05-07 16:03:42 +02:00
svlandeg	7e348d7f7f	baseline evaluation using highest-freq candidate	2019-05-06 15:13:50 +02:00
svlandeg	6961215578	refactor code to separate functionality into different files	2019-05-06 10:56:56 +02:00