Learning Word Embeddings

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

24 shown of 24 papers with code (91 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• One Embedder, Any Task: Instruction-Finetuned Text Embeddings
  19 Dec 2022 4 repositories listed Syntology ran 10 of 20 samples · 10 unverified
  Our analysis suggests that INSTRUCTOR is robust to changes in instructions, and that instruction finetuning mitigates the challenge of training a single model on diverse datasets.
• Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech
  23 Mar 2018 3 repositories listed
  In this paper, we propose a novel deep neural network architecture, Speech2Vec, for learning fixed-length vector representations of audio segments excised from a speech corpus, where the vectors contain semantic…
• Neural Graph Embedding Methods for Natural Language Processing
  8 Nov 2019 2 repositories listed
  Knowledge graphs are structured representations of facts in a graph, where nodes represent entities and edges represent relationships between them.
• Skip-gram word embeddings in hyperbolic space
  30 Aug 2018 2 repositories listed
  Recent work has demonstrated that embeddings of tree-like graphs in hyperbolic space surpass their Euclidean counterparts in performance by a large margin.
• WordRank: Learning Word Embeddings via Robust Ranking
  9 Jun 2015 2 repositories listed
  Then, based on this insight, we propose a novel framework WordRank that efficiently estimates word representations via robust ranking, in which the attention mechanism and robustness to noise are readily achieved via…
• Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction
  3 Feb 2025 1 repository listed
  Biologically inspired neural networks offer alternative avenues to model data distributions.
• Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
  12 May 2023 1 repository listed
  Natural language definitions possess a recursive, self-explanatory semantic structure that can support representation learning methods able to preserve explicit conceptual relations and constraints in the latent space.
• MorphTE: Injecting Morphology in Tensorized Embeddings
  27 Oct 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In the era of deep learning, word embeddings are essential when dealing with text tasks.
• ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
  24 Nov 2021 1 repository listed
  Recent self-supervised models have demonstrated equal or better performance than supervised methods, opening for AI systems to learn visual representations from practically unlimited data.
• InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity
  29 May 2020 1 repository listed
  We study the objective in the limit as T goes to infinity, which allows us to simplify the expression of Qiu et al.
• Machine Translation with Cross-lingual Word Embeddings
  10 Dec 2019 1 repository listed
  Learning word embeddings using distributional information is a task that has been studied by many researchers, and a lot of studies are reported in the literature.
• Few-Shot Representation Learning for Out-Of-Vocabulary Words
  1 Jul 2019 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Existing approaches for learning word embeddings often assume there are sufficient occurrences for each word in the corpus, such that the representation of words can be accurately estimated from their contexts.
• Towards Incremental Learning of Word Embeddings Using Context Informativeness
  1 Jul 2019 1 repository listed
  In this paper, we investigate the task of learning word embeddings from very sparse data in an incremental, cognitively-plausible way.
• Variational Sequential Labelers for Semi-Supervised Learning
  23 Jun 2019 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Our model family consists of a latent-variable generative model and a discriminative labeler.
• Learning Word Embeddings with Domain Awareness
  7 Jun 2019 1 repository listed
  Word embeddings are traditionally trained on a large corpus in an unsupervised setting, with no specific design for incorporating domain knowledge.
• Poincare Glove: Hyperbolic Word Embeddings
  1 May 2019 1 repository listed
  Words are not created equal.
• Cross-lingual Lexical Sememe Prediction
  1 Oct 2018 1 repository listed
  We propose a novel framework to model correlations between sememes and multi-lingual words in low-dimensional semantic space for sememe prediction.
• Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
  12 Sep 2018 1 repository listed
  Word embeddings have been widely adopted across several NLP applications.
• Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings
  1 Nov 2017 1 repository listed
  In this study, we improve grammatical error detection by learning word embeddings that consider grammaticality and error patterns.
• MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting
  1 Nov 2017 1 repository listed
  We present a pointwise mutual information (PMI)-based approach to formalize paraphrasability and propose a variant of PMI, called MIPA, for the paraphrase acquisition.
• Dict2vec : Learning Word Embeddings using Lexical Dictionaries
  1 Sep 2017 1 repository listed
  Learning word embeddings on large unlabeled corpus has been shown to be successful in improving many natural language tasks.
• The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
  1 Jun 2017 1 repository listed
  In this paper, we propose a low-rank coordinate descent approach to structured semidefinite programming with diagonal constraints.
• How to Train good Word Embeddings for Biomedical NLP
  1 Aug 2016 1 repository listed
• Improving Lexical Embeddings with Semantic Knowledge
  1 Jun 2014 1 repository listed

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.