Update README.md
Browse files
README.md
CHANGED
@@ -43,7 +43,8 @@ extra_gated_button_content: Acknowledge license
|
|
43 |
|
44 |
## Model Description
|
45 |
|
46 |
-
|
|
|
47 |
|
48 |
## Installation
|
49 |
|
@@ -69,7 +70,7 @@ from wsl import WSL
|
|
69 |
from wsl.inference.data.objects import WSLOutput
|
70 |
|
71 |
wsl_model = WSL.from_pretrained("Babelscape/wsl-base")
|
72 |
-
|
73 |
```
|
74 |
|
75 |
WSLOutput(
|
|
|
43 |
|
44 |
## Model Description
|
45 |
|
46 |
+
|
47 |
+
We introduce the task of Word Sense Linking (WSL), which focuses on accurately mapping spans of text to their most appropriate senses using a reference inventory. The Word Sense Linking model is designed to identify and disambiguate spans of text to their most suitable senses from a reference inventory. The annotations are provided as sense keys from WordNet, a large lexical database of English.
|
48 |
|
49 |
## Installation
|
50 |
|
|
|
70 |
from wsl.inference.data.objects import WSLOutput
|
71 |
|
72 |
wsl_model = WSL.from_pretrained("Babelscape/wsl-base")
|
73 |
+
wsl_out: WSLOutput = wsl_model("Bus drivers drive busses for a living.")
|
74 |
```
|
75 |
|
76 |
WSLOutput(
|