Methods › Natural Language Processing › Contextualized Word Embeddings › context2vec
context2vec
Introduced by Oren Melamud et al. in context2vec: Learning Generic Context Embedding with Bidirectional LSTM
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
context2vec is an unsupervised model for learning generic context embedding of wide sentential contexts, using a bidirectional LSTM. A large plain text corpora is trained on to learn a neural model that embeds entire sentential contexts and target words in the same low-dimensional space, which is optimized to reflect inter-dependencies between targets and their entire sentential context as a whole.
In contrast to word2vec that use context modeling mostly internally and considers the target word embeddings as their main output, the focus of context2vec is the context representation. context2vec achieves its objective by assigning similar embeddings to sentential contexts and their associated target words.
Papers archive 2025-07-28
6 shown of 6, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution 7 Jun 2022 · 1 repository · arXiv:2206.11815
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Token Level Identification of Multiword Expressions Using Contextual Information 1 Jul 2020 · 0 repositories
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A Comparative Study of Lexical Substitution Approaches based on Neural Language Models 29 May 2020 · 0 repositories · arXiv:2006.00031
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Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes 20 May 2019 · 0 repositories · arXiv:1905.08377
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Lexical Substitution for Evaluating Compositional Distributional Models 1 Jun 2018 · 0 repositories
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context2vec: Learning Generic Context Embedding with Bidirectional LSTM 1 Aug 2016 · 0 repositories
Tasks archive 2025-07-28
14 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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