| UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks | Jun 1, 2016 | Semantic Textual SimilarityTask 2 | —Unverified | 0 |
| VENSESEVAL at Semeval-2016 Task 2 iSTS - with a full-fledged rule-based approach | Jun 1, 2016 | Coreference ResolutionNatural Language Inference | —Unverified | 0 |
| VRep at SemEval-2016 Task 1 and Task 2: A System for Interpretable Semantic Similarity | Jun 1, 2016 | Semantic SimilaritySemantic Textual Similarity | —Unverified | 0 |
| IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner | Jun 1, 2016 | Information RetrievalQuestion Answering | —Unverified | 0 |
| DTSim at SemEval-2016 Task 2: Interpreting Similarity of Texts Based on Automated Chunking, Chunk Alignment and Semantic Relation Prediction | Jun 1, 2016 | ChunkingRelation Prediction | —Unverified | 0 |
| FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity | Jun 1, 2016 | Image CaptioningSemantic Textual Similarity | —Unverified | 0 |
| IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner | May 4, 2016 | Semantic Textual SimilaritySentence | CodeCode Available | 0 |
| Event Coreference Resolution with Multi-Pass Sieves | May 1, 2016 | Avgcoreference-resolution | —Unverified | 0 |
| Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination | Jul 3, 2015 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability | Jun 1, 2015 | Natural Language InferenceQuestion Answering | —Unverified | 0 |
