Update README.md

README.md

@@ -32,9 +32,10 @@ domain that shows 2.54 points of F1 score improvement on average on different bi
 entity recognition tasks.
 
 - **Developed by:** Rian Touchent, Eric Villemonte de La Clergerie
+- **Logo by:** Alix Chagué
 - **License:** MIT
 
-!### Model Sources [optional]
+<!-- ### Model Sources [optional] -->
 
 <!-- Provide the basic links for the model. -->
 
@@ -51,9 +52,9 @@ entity recognition tasks.
 
 | **Corpus** | **Details**                                                        | **Size** |
 |------------|--------------------------------------------------------------------|------------|
-| ISTEX      | Divers documents de la littérature scientifique indexés sur ISTEX  | 276 M      |
-| CLEAR      | Notices de médicaments                                             | 73 M       |
-| E3C        | Divers documents issus de journaux, de notices et de cas cliniques | 64 M       |
+| ISTEX      | diverse scientific literature indexed on ISTEX  | 276 M      |
+| CLEAR      | drug leaflets                                           | 73 M       |
+| E3C        | various documents from journals, drug leaflets, and clinical cases | 64 M       |
 | Total      |                                                                    | 413 M      |
 
 
@@ -87,7 +88,7 @@ To ensure reliability, we averaged over 10 evaluations with different seeds.
 
 | Style        | Dataset | Score | CamemBERT         | CamemBERT             |
 | :----------- | :------ | :---- | :---------------: | :-------------------: |
-| Clinique     | CAS1    | F1    | 70\.50 ~~±~~ 1.75 | **73\.03 ~~±~~ 1.29** |
+| Clinical     | CAS1    | F1    | 70\.50 ~~±~~ 1.75 | **73\.03 ~~±~~ 1.29** |
 |              |         | P     | 70\.12 ~~±~~ 1.93 | 71\.71 ~~±~~ 1.61     |
 |              |         | R     | 70\.89 ~~±~~ 1.78 | **74\.42 ~~±~~ 1.49** |
 |              | CAS2    | F1    | 79\.02 ~~±~~ 0.92 | **81\.66 ~~±~~ 0.59** |
@@ -96,20 +97,18 @@ To ensure reliability, we averaged over 10 evaluations with different seeds.
 |              | E3C     | F1    | 67\.63 ~~±~~ 1.45 | **69\.85 ~~±~~ 1.58** |
 |              |         | P     | 78\.19 ~~±~~ 0.72 | **79\.11 ~~±~~ 0.42** |
 |              |         | R     | 59\.61 ~~±~~ 2.25 | **62\.56 ~~±~~ 2.50** |
-| Notices      | EMEA    | F1    | 74\.14 ~~±~~ 1.95 | **76\.71 ~~±~~ 1.50** |
+| Drug leaflets      | EMEA    | F1    | 74\.14 ~~±~~ 1.95 | **76\.71 ~~±~~ 1.50** |
 |              |         | P     | 74\.62 ~~±~~ 1.97 | **76\.92 ~~±~~ 1.96** |
 |              |         | R     | 73\.68 ~~±~~ 2.22 | **76\.52 ~~±~~ 1.62** |
-| Scientifique | MEDLINE | F1    | 65\.73 ~~±~~ 0.40 | **68\.47 ~~±~~ 0.54** |
+| Scientific | MEDLINE | F1    | 65\.73 ~~±~~ 0.40 | **68\.47 ~~±~~ 0.54** |
 |              |         | P     | 64\.94 ~~±~~ 0.82 | **67\.77 ~~±~~ 0.88** |
 |              |         | R     | 66\.56 ~~±~~ 0.56 | **69\.21 ~~±~~ 1.32** |
 
 
-## Environmental Impact
+## Environmental Impact estimation
 
 <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
 
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
 - **Hardware Type:** 2 x Tesla V100
 - **Hours used:** 39 hours
 - **Provider:** INRIA clusters