2 0 1 A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors e t [C g a Ai E n 4 Ae t [C A b]C L 8 b b b]C m d 8 r ASansan Advent Calendar & https://yag-ays.github.io/project/alacarte/
0 1 Simple Unsupervised Keyphrase Extraction using Sentence Embeddings N 8 2 E2C N 8 E2C O [ Maximal Marginal Relevance L R https://github.com/swisscom/ai-research-keyphrase-extraction
EmbedRank 3 1 E Ra d E 1 E 3 d (Sentence Embedding) b sent2vec doc2vec ed •Pagliardini et al., 2017 “Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features.” •Lau and Baldwin, 2016 “An empirical evaluation of doc2vec with practical insights into document embedding generation”