14 Commits

Author	SHA1	Message	Date
Malte Pietsch	07ecfb60b9	Dense Passage Retriever (Inference) (#167)	2020-06-30 19:05:45 +02:00
Tanay Soni	44f89c94ab	Upgrade FARM version (#172)	2020-06-24 15:14:09 +02:00
Tanay Soni	ef9e4f4467	Add PDF text extraction (#109)	2020-06-08 11:07:19 +02:00
Malte Pietsch	d5443b36ec	Split docs into passages in Tutorial	2020-05-21 13:01:04 +02:00
Tanay Soni	887bdcc376	Update tutorials to use Elasticsearch, new Retrievers (#79)	2020-04-29 14:01:05 +02:00
timoeller	f681026a56	Simplify no ans handling, disable no ans + sorting in private function	2020-02-24 16:15:06 +01:00
timoeller	ef9b99c3cc	Add no answer handling and sort no answer into positive predictions	2020-02-21 18:27:53 +01:00
timoeller	840b368732	Add no ans example	2020-02-19 14:51:12 +01:00
timoeller	c6d9da8827	Add doc for no answer boosting	2020-02-19 13:02:51 +01:00
timoeller	dc9188361c	Add ranking of no ans relative to positive answers	2020-02-19 12:57:35 +01:00
Tanay Soni	f83a164095	Add Elasticsearch Document Store (#13)	2020-01-24 18:24:07 +01:00
Tanay Soni	c52266e520	Update tutorials (#12) ... Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>	2020-01-23 15:18:41 +01:00
Malte Pietsch	1718ea55b8	Add method to train a reader on custom data (#5) ... * initial version of training a reader WIP * update for latest changes in FARM inferencer. Update tutorial. Add basic docs	2020-01-23 14:49:17 +01:00
Malte Pietsch	cab0932fab	Refactor pipeline for better generalizability & Add TransformersReader (#1) ... * add flag to skip writing docs to non-empty db * change finder pipeline structure for better generalizability * add basic TransformersReader * update tutorials and requirements	2020-01-13 18:56:22 +01:00