Update README.md

README.md

@@ -5,7 +5,7 @@ tags:
   - sequence-tagger-model
 language: de
 ---
-# REDEWIEDERGABE Tagger: indirect STWR
+# REDEWIEDERGABE Tagger: reported STWR
 
 This model is part of an ensemble of binary taggers that recognize German speech, thought and writing representation (STWR). They can be used to automatically detect and annotate the following 4 types of speech, thought and writing representation in German texts:
 
@@ -13,8 +13,8 @@ This model is part of an ensemble of binary taggers that recognize German speech
 |--------------------------------|-------------------------------------------------------------------------|----------------------------------------------------------|
 | direct                         | Dann sagte er: **"Ich habe Hunger."**                                       | Then he said: **"I'm hungry."**                             |
 | free indirect ('erlebte Rede') | Er war ratlos. **Woher sollte er denn hier bloß ein Mittagessen bekommen?** | He was at a loss. **Where should he ever find lunch here?** |
-| indirect (**this tagger**)                 | Sie fragte, **wo das Essen sei.**                                           | She asked **where the food was.**                            |
-| reported                  | **Sie sprachen über das Mittagessen.**                                      | **They talked about lunch.**                                 |
+| indirect                  | Sie fragte, **wo das Essen sei.**                                           | She asked **where the food was.**                            |
+| reported (**this tagger**)                 | **Sie sprachen über das Mittagessen.**                                      | **They talked about lunch.**                                 |
 
 The ensemble is trained on the [REDEWIEDERGABE corpus](https://github.com/redewiedergabe/corpus) ([Annotation guidelines](http://redewiedergabe.de/richtlinien/richtlinien.html)), fine-tuning each tagger on the domain-adapted [lkonle/fiction-gbert-large](https://huggingface.co/lkonle/fiction-gbert-large). ([Training Code](https://github.com/cophi-wue/LLpro/blob/main/contrib/train_redewiedergabe.py))
 
@@ -23,9 +23,9 @@ The ensemble is trained on the [REDEWIEDERGABE corpus](https://github.com/redewi
 | STWR type |  F1-Score |
 |-----------|-----------|
 | direct    | 90.76     |
-| **indirect (this tagger)** | **79.16**  |
+| indirect  | 79.16  |
 | free indirect | 58.00  |
-| reported   | 70.47   |
+| **reported (this tagger)**  | **70.47**   |
 
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