01
Querying Word Embeddings for Similarity and RelatednessData Distillation: Towards Omni-Supervised LearningA Rank-Based Similarity Metric for Word EmbeddingsDict2vec: Learning Word Embeddings using Lexical DictionariesGraph Convolutional Networks for Text ClassificationImproving Distributional Similarity with Lessons Learned from Word EmbeddingsReal-time Personalization using Embeddings for Search Ranking at AirbnbGlyce: Glyph-vectors for Chinese Character RepresentationsAuto-Encoding Dictionary Definitions into Consistent Word EmbeddingsDistilling the Knowledge in a Neural NetworkUncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinThe (Too Many) Problems of Analogical Reasoning with Word VectorsLinear Ensembles of Word Embedding ModelsIntrinsic Evaluation of Word Vectors Fails to Predict Extrinsic PerformanceDynamic Meta-Embeddings for Improved Sentence Representations
PreviousLanguage Models are Unsupervised Multitask LearnersNextQuerying Word Embeddings for Similarity and Relatedness
Last updated
Was this helpful?