The frame embeddings are stored in structured file (frame_embeddings.csv). If you use our dataset (i.e., the frame emebeddings) kindly cite these references: --------------------------------------------------------------------------------------------------------------------------- [1] W. Alhoshan, R. Batista-Navarro, and L. Zhao. Semantic Frame Embeddings for Detecting Relations between Software Requirements. In 13th International Conference on Computational Semantics (IWCS). Association for Computational Linguistics. May 23-27, 2019, Gothenburg, Sweden. [2] W.Alhoshan, R. Batista-Navarro, and L. Zhao. Using Semantic Frames to Identify Related Requirements, The 2nd Workshop on Natural Language Processing for Requirements Engineering (NLP4RE), co-located with the 25th International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ'19), March 18-21, 2019, Essen, Germany.

FN-RE frame embeddings-is semantic resource built based on embedding-based representations of semantic frames in FrameNet, which was developed to support the detection of relations between software requirements. Our embeddings, which encapsulate contextual information at the semantic frame level, were trained on a large corpus of requirements (i.e., a collection of more than three million mobile application reviews).