Merge pull request sebastianruder#52 from rmanak/new-result-STS-Quara

added code column for STS Quora table

semantic_textual_similarity.md

@@ -32,11 +32,11 @@ The [Quora Question Pairs dataset](https://data.quora.com/First-Quora-Dataset-Re
 consists of over 400,000 pairs of questions on Quora. Systems must identify whether one question is a
 duplicate of the other. Models are evaluated based on accuracy.
 
-| Model           | Accuracy  |  Paper / Source |
-| ------------- | :-----:| --- |
-| DIIN (Gong et al., 2018) | 89.06 | [Natural Language Inference Over Interaction Space](https://arxiv.org/pdf/1709.04348.pdf) |
-| pt-DecAtt (Char) (Tomar et al., 2017) | 88.40 | [Neural Paraphrase Identification of Questions with Noisy Pretraining](https://arxiv.org/abs/1704.04565) |
-| BiMPM (Wang et al., 2017) | 88.17 | [Bilateral Multi-Perspective Matching for Natural Language Sentences](https://arxiv.org/abs/1702.03814) |
-| GenSen (Subramanian et al., 2018) | 87.01 | [Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning](https://arxiv.org/abs/1804.00079) | |
+| Model           | Accuracy  |  Paper / Source | Code |
+| ------------- | :-----:| --- | --- |
+| DIIN (Gong et al., 2018) | 89.06 | [Natural Language Inference Over Interaction Space](https://arxiv.org/pdf/1709.04348.pdf) | [Official](https://github.com/YichenGong/Densely-Interactive-Inference-Network) |
+| pt-DecAtt (Char) (Tomar et al., 2017) | 88.40 | [Neural Paraphrase Identification of Questions with Noisy Pretraining](https://arxiv.org/abs/1704.04565) | |
+| BiMPM (Wang et al., 2017) | 88.17 | [Bilateral Multi-Perspective Matching for Natural Language Sentences](https://arxiv.org/abs/1702.03814) | [Official](https://github.com/zhiguowang/BiMPM) |
+| GenSen (Subramanian et al., 2018) | 87.01 | [Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning](https://arxiv.org/abs/1804.00079) | [Official](https://github.com/Maluuba/gensen) |
 
 [Go back to the README](README.md)