Minor

README.md

@@ -51,7 +51,7 @@ for score in results:
 
 Sem-F1 also accepts multiple optional arguments:
 
-*  `model_type (str)`: Model to use for encoding sentences. Options: ['pv1', 'stsb', 'use']
+`model_type (str)`: Model to use for encoding sentences. Options: ['pv1', 'stsb', 'use']
    *  `pv1` - [paraphrase-distilroberta-base-v1](https://huggingface.co/sentence-transformers/paraphrase-distilroberta-base-v1)
    *  `stsb` - [stsb-roberta-large](https://huggingface.co/sentence-transformers/stsb-roberta-large)
    *  `use` - [Universal Sentence Encoder](https://huggingface.co/sentence-transformers/use-cmlm-multilingual) (Default)
@@ -59,11 +59,11 @@ Sem-F1 also accepts multiple optional arguments:
        Furthermore, you can use any model on Huggingface/SentenceTransformer that is supported by SentenceTransformer 
        such as `all-mpnet-base-v2` or `roberta-base`
 
-*  `tokenize_sentences (bool)`: Flag to indicate whether to tokenize the sentences in the input documents. Default: True.
-*  `multi_references (bool)`: Flag to indicate whether multiple references are provided. Default: False.
-*  `gpu (Union[bool, str, int, List[Union[str, int]]])`: Whether to use GPU, CPU or multiple-processes for computation.
-*  `batch_size (int)`: Batch size for encoding. Default: 32.
-*  `verbose (bool)`: Flag to indicate verbose output. Default: False.
+`tokenize_sentences (bool)`: Flag to indicate whether to tokenize the sentences in the input documents. Default: True.
+`multi_references (bool)`: Flag to indicate whether multiple references are provided. Default: False.
+`gpu (Union[bool, str, int, List[Union[str, int]]])`: Whether to use GPU, CPU or multiple-processes for computation.
+`batch_size (int)`: Batch size for encoding. Default: 32.
+`verbose (bool)`: Flag to indicate verbose output. Default: False.
 
 Refer to the inputs descriptions for more detailed usage as follows: