ALaCarte
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
ArchivedArchived repositoryComputer Science
A curated list of pretrained sentence and word embedding models
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
Mimicking Word Embeddings using Subword RNNs
Subword-based Compact Reconstruction of Word Embeddings
A Simple but Tough-to-Beat Baseline for Sentence Embeddings
Unsupervised Sentence Representations as Word Information Series: Revisiting TF--IDF
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
Zero-Training Sentence Embedding via Orthogonal Basis
Baseline Needs More Love: On Simple Word-Embedding-Based Modelsand Associated Pooling Mechanisms
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation
The Natural Language Decathlon: Multitask Learning as Question Answering
SentEval: An Evaluation Toolkit for Universal Sentence Representations
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks
A Corpus for Multilingual Document Classification in Eight Languages
Olive Oil Is Made of Olives, Baby Oil Is Made for Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model
Community Evaluation and Exchange of Word Vectors at wordvectors.org
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling
Evaluation of Word Vector Representations by Subspace Alignment
contextual-repr-analysis
Multilingual Probing Tasks for Word Representations
On the Dimensionality of Word Embedding
Simple and Effective Dimensionality Reduction for Word Embeddings
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
neuralcompressor
Improving Vector Space Word Representations Using Multilingual Correlation
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Unsupervised Machine Translation Using Monolingual Corpora Only
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
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