Minor modifications

README.md

@@ -155,7 +155,9 @@ data = load_dataset("GEM/opusparcus", "de.100")
 data = load_dataset("GEM/opusparcus", "fr.90")
 ```
 
-TODO: Add comment about larger and noisier sets being better for training.
+Remark regarding the optimal choice of training set qualities:
+Previous work suggests that a larger and noisier set is better than a
+smaller and clean set. See Sjöblom et al. (2018). [Paraphrase Detection on Noisy Subtitles in Six Languages](http://noisy-text.github.io/2018/pdf/W-NUT20189.pdf). In Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text., and Vahtola et al. (2021). [Coping with Noisy Training Data Labels in Paraphrase Detection](https://aclanthology.org/2021.wnut-1.32/). In Proceedings of the 7th Workshop on Noisy User-generated Text.
 
 ### Data Instances
 
@@ -246,9 +248,8 @@ up in the datasets.
 The training sets were not annotated manually. This is indicated by
 the value 0.0 in the `annot_score` field.
 
-For an assessment of of inter-annotator agreement, see Mikko Aulamo,
-Mathias Creutz and Eetu Sjöblom (2019). [Annotation of subtitle
-paraphrases using a new web
+For an assessment of of inter-annotator agreement, see Aulamo et
+al. (2019). [Annotation of subtitle paraphrases using a new web
 tool.](http://ceur-ws.org/Vol-2364/3_paper.pdf) In Proceedings of the
 Digital Humanities in the Nordic Countries 4th Conference],
 Copenhagen, Denmark.
@@ -312,16 +313,16 @@ approximately 1000 sentence pairs that have been verified to be
 acceptable paraphrases by two indepedent annotators.
 
 The `annot_score` field reflects the judgments made by the annotators.
-If ´the annnotators fully agreed on the category (4.0: dark green,
-3.0: light green, 2.0: yellow, 1.0: red), the value of
-`annot_score` is 4.0, 3.0, 2.0 or 1.0.  If the two annotators
-chose adjacent categories, the value in this field will be 3.5, 2.5 or
-1.5.  For instance, a value of 2.5 means that one annotator gave a
-score of 3 ("mostly good"), indicating a possible paraphrase pair,
-whereas the other annotator scored this as a 2 ("mostly bad"), that
-is, unlikely to be a paraphrase pair.  If the annotators disagreed by
-more than one category, the sentence pair was discarded and won't show
-up in the datasets.
+If the annnotators fully agreed on the category (4.0: dark green, 3.0:
+light green, 2.0: yellow, 1.0: red), the value of `annot_score` is
+4.0, 3.0, 2.0 or 1.0.  If the annotators chose adjacent categories,
+the value in this field will be 3.5, 2.5 or 1.5.  For instance, a
+value of 2.5 means that one annotator gave a score of 3 ("mostly
+good"), indicating a possible paraphrase pair, whereas the other
+annotator scored this as a 2 ("mostly bad"), that is, unlikely to be a
+paraphrase pair.  If the annotators disagreed by more than one
+category, the sentence pair was discarded and won't show up in the
+datasets.
 
 #### Who are the annotators?