1.0.0

Trained and tested on https://github.com/chartes/OF3C/releases/tag/1.1

CAS

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9395	0.8571	0.8943	0.8723	0.8943	34136
known-tokens	0.9469	0.8628	0.8996	0.8779	0.8996	31234
unknown-tokens	0.8604	0.8641	0.8532	0.8568	0.8532	2902
ambiguous-tokens	0.9135	0.8542	0.8923	0.8699	0.8923	16788

DEGRE

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9766	0.7993	0.859	0.7884	0.859	34136
known-tokens	0.9806	0.8068	0.8703	0.7979	0.8703	31234
unknown-tokens	0.9328	0.8119	0.6827	0.7365	0.6827	2902
ambiguous-tokens	0.934	0.8018	0.8581	0.7918	0.8581	7423

GENRE

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9492	0.9086	0.8803	0.8933	0.8803	34136
known-tokens	0.9581	0.9177	0.8884	0.9019	0.8884	31234
unknown-tokens	0.8542	0.7856	0.7174	0.7383	0.7174	2902
ambiguous-tokens	0.9243	0.8964	0.8666	0.8803	0.8666	14363

lemma

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9365	0.5843	0.579	0.5749	0.579	34136
known-tokens	0.9624	0.8166	0.8123	0.8091	0.8123	31735
unknown-tokens	0.5939	0.3662	0.3656	0.3611	0.3656	2401
ambiguous-tokens	0.9506	0.6919	0.6919	0.6827	0.6919	19398
unknown-targets	0.0599	0.0289	0.0277	0.0279	0.0277	551

MODE

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9881	0.9323	0.8804	0.902	0.8804	34136
known-tokens	0.9924	0.9484	0.9107	0.9265	0.9107	31234
unknown-tokens	0.9418	0.886	0.7897	0.8264	0.7897	2902
ambiguous-tokens	0.9775	0.9285	0.9131	0.9175	0.9131	6402

NOMB

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9643	0.9551	0.9491	0.952	0.9491	34136
known-tokens	0.9703	0.9617	0.9565	0.959	0.9565	31234
unknown-tokens	0.8997	0.8628	0.8371	0.8494	0.8371	2902
ambiguous-tokens	0.9495	0.9423	0.9383	0.9402	0.9383	15703

PERS

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9847	0.7771	0.7621	0.7694	0.7621	34136
known-tokens	0.988	0.7808	0.7707	0.7756	0.7707	31234
unknown-tokens	0.9493	0.9275	0.8536	0.8873	0.8536	2902
ambiguous-tokens	0.9763	0.7792	0.768	0.7735	0.768	11471

POS

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9482	0.7319	0.732	0.7265	0.732	34136
known-tokens	0.9547	0.7536	0.7616	0.7507	0.7616	31735
unknown-tokens	0.8621	0.5939	0.5594	0.5536	0.5594	2401
ambiguous-tokens	0.9404	0.7428	0.7261	0.7234	0.7261	21497

TEMPS

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9844	0.944	0.9284	0.9355	0.9284	34136
known-tokens	0.9891	0.9572	0.9484	0.9525	0.9484	31234
unknown-tokens	0.9338	0.8696	0.8358	0.8489	0.8358	2902
ambiguous-tokens	0.9631	0.9301	0.9196	0.924	0.9196	6530

0.4.1

Models for lemma and POS are updated.

lemma

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9901	0.9106	0.9119	0.9091	0.9441	87157
known-tokens	0.9919	0.9493	0.9501	0.9482	0.967	86694
unknown-tokens	0.6544	0.4584	0.4599	0.4565	0.622	463
ambiguous-tokens	0.9879	0.8853	0.8866	0.882	0.9195	52598
unknown-targets	0.0612	0.0309	0.0309	0.0309	0.0595	98

POS

	accuracy	precision	recall	f1	balanced-accuracy	support
all	0.9854	0.8603	0.8617	0.8597	0.8617	87157
known-tokens	0.9862	0.8612	0.8625	0.8606	0.8625	86694
unknown-tokens	0.8402	0.6225	0.6539	0.6284	0.6924	463
ambiguous-tokens	0.9805	0.8648	0.8641	0.8628	0.8641	58082

0.4.0Alpha

Task	All - acc	pre	rec	Known tokens - acc	pre	rec	Unknown tokens - acc	pre	rec	Ambiguous tokens - acc	pre	rec
CAS	95.25	91.75	92.26	95.74	92.18	92.74	84.63	62.6	62.55	94.01	91.77	92.33
DEGRE	98.47	86.45	82.77	98.74	87.75	84.98	92.55	63.81	44.48	95.46	86.91	85.8
GENRE	96.21	93.22	89.03	96.76	93.67	89.66	84.47	88.01	69.87	94.59	92.11	87.9
MODE	99.05	91.59	89	99.36	93.56	92.06	92.39	79.46	74.89	97.61	88.89	92.14
NOMB	97.05	96.5	96.2	97.47	96.92	96.65	88.2	87.85	82.2	96.06	95.67	95.36
PERS	98.79	91.25	85.28	98.95	91.73	85.73	95.34	90.17	90.12	97.72	91.31	85.12
POS	97.55	83	79.9	97.88	84.81	82.11	84.56	54.19	55.92	97.37	83.7	81.2
lemma	97.66	76.08	75.86	98.38	91.72	91.71	69.01	48.86	48.72	97.79	78.24	78.11

0.3.0

Release 0.3.0

0.2.0

v0.2.0

Using pie-flask:v0.0.2 for Docker faster builds

v0.1.0

Cite using

Initial release