Update README.md
Browse files
README.md
CHANGED
|
@@ -66,3 +66,20 @@ configs:
|
|
| 66 |
- split: test
|
| 67 |
path: WN/test-*
|
| 68 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 66 |
- split: test
|
| 67 |
path: WN/test-*
|
| 68 |
---
|
| 69 |
+
|
| 70 |
+
# Named-Entities Recognition on Multi-Domain Documents (NERMUD)
|
| 71 |
+
|
| 72 |
+
Original paper: https://iris.unitn.it/retrieve/d833b9e4-e997-4ee4-b6aa-f5144a85f708/paper42.pdf
|
| 73 |
+
|
| 74 |
+
This dataset comes in a word level classification setting, we decided to reframe the task to be prompted to a generative LLMs.
|
| 75 |
+
|
| 76 |
+
To do this, **we generated a different sample for each Named-Entity** in the original dataset, the data come in an Inside-Outside-Begining (IOB) tagging scheme:
|
| 77 |
+
|
| 78 |
+
| Original format | Output Format |
|
| 79 |
+
| -------- | ------- |
|
| 80 |
+
| "L'":O, "astronauta":O, "Umberto":B-PER, "Guidoni":I-PER, "dell'":O "Agenzia":B-ORG, "Spaziale":I-ORG | ("L'astronauta Umberto Guidoni dell'Agenzia Spaziale", "Umberto Guidoni", PERSONA), ("L'astronauta Umberto Guidoni dell'Agenzia Spaziale", "Agenzia Spaziale", ORGANIZZAZIONE) |
|
| 81 |
+
|
| 82 |
+
Nermud come with three different Domains: ADG (Alcide De Gasperi writings), FIC (Fiction Books), and WN (Wikinews). After our reframing, with additional cleaning strategies (e.g. remove duplicates) we decided to mantain only AGD and WN domains.
|
| 83 |
+
|
| 84 |
+
Here there are the statistics of our generated data:
|
| 85 |
+
- add
|