content/Multimodal-Dataset-Creation.md

@@ -57,7 +57,7 @@ The concreteness values of words are somehow used as a filtering step in this mu
 
 A json file that contains a dictionary of words and their concreteness values is required for the multimodal dataset creation. In the repository, there is such a file "data/concreteness/concretenessValuesMscoco.json" containing the concreteness values of the "MS COCO train2014 dataset".
 
-That concreteness file can be created with the [implementation](https://github.com/victorssilva/concreteness) of [Visual Concreteness](https://arxiv.org/abs/1804.06786).
+That concreteness file can be created with this [implementation](https://github.com/victorssilva/concreteness) of [Visual Concreteness](https://arxiv.org/abs/1804.06786).
 
 ### Setup Database
 
@@ -164,7 +164,7 @@ If we want to define a word from the concreteness values file to be concrete/dep
 python main.py --concreteness_threshold 50
 ```
 
-The image retrieval with CLIP can be influenced with the parameters "--candidate_imgs", "--sent_img_similarity" and "--focus_word_img_similarity". The choice of the first two parameters is based on [paper](https://www.inf.uni-hamburg.de/en/inst/ab/lt/publications/2022-wangetal-lrec.pdf). The last parameter then bases on the second one. Especially, increasing the last two ones might result in more suitable images but less multimodal sentences
+The image retrieval with CLIP can be influenced with the parameters "--candidate_imgs", "--sent_img_similarity" and "--focus_word_img_similarity". The choice of the first two parameters is based on this [paper](https://www.inf.uni-hamburg.de/en/inst/ab/lt/publications/2022-wangetal-lrec.pdf). The last parameter then bases on the second one. Especially, increasing the last two ones might result in more suitable images but less multimodal sentences
 
 ```
 python main.py --candidate_imgs 10 --sent_img_similarity 2.5 --focus_word_img_similarity 2.75