diff --git a/README.md b/README.md
index f9dbed2..052f6ca 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ The datasets are available on Google Drive. You can download the data with the [
 dataset    
 │
 └───indentifying_yes_no_question 
-│   │   (yes-no questions indetified by rules or a trained classifier)
+│   │   (yes-no questions identified by rules or a trained classifier)
 |
 └───interpreting_indirect_answer
     │
@@ -118,4 +118,4 @@ Citation:
     pages = "2210--2227",
     abstract = "Yes-no questions expect a yes or no for an answer, but people often skip polar keywords. Instead, they answer with long explanations that must be interpreted. In this paper, we focus on this challenging problem and release new benchmarks in eight languages. We present a distant supervision approach to collect training data, and demonstrate that direct answers (i.e., with polar keywords) are useful to train models to interpret indirect answers (i.e., without polar keywords). We show that monolingual fine-tuning is beneficial if training data can be obtained via distant supervision for the language of interest (5 languages). Additionally, we show that cross-lingual fine-tuning is always beneficial (8 languages).",
 }
-```
\ No newline at end of file
+```