mlsanityData to 7 Oct 2026

AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes

arXiv 1507.01127 ↗First posted 4 Jul 2015cs.CLcited by 19

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Abstract (arXiv)

We present textitAutoExtend, a system to learn embeddings for synsets and lexemes. It is flexible in that it can take any word embeddings as input and does not need an additional training corpus. The synset/lexeme embeddings obtained live in the same vector space as the word embeddings. A sparse tensor formalization guarantees efficiency and parallelizability. We use WordNet as a lexical resource, but AutoExtend can be easily applied to other resources like Freebase. AutoExtend achieves state-of-the-art performance on word similarity and word sense disambiguation tasks.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jul 2015.

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Citing papers per year: 2021: 10; 2022: 1; 2023: 3; 2024: 3; 2025: 1; 2026: 1.

19 papers.

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  1. 2021LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyondcited by 17
  2. 2023Driving Context into Text-to-Text Privatizationcited by 13
  3. 2023Can Word Sense Distribution Detect Semantic Changes of Words?cited by 10
  4. 2021Large Scale Substitution-based Word Sense Inductioncited by 9
  5. 2021Multi-sense embeddings through a word sense disambiguation processcited by 7
  6. 2021Introduction to Neural Transfer Learning with Transformers for Social Science Text Analysiscited by 6
  7. 2021Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxycited by 6
  8. 2024Neural Semantic Parsing with Extremely Rich Symbolic Meaning Representationscited by 5
  9. 2021Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddingscited by 3
  10. 2025Multi-Sense Embeddings for Language Models and Knowledge Distillationcited by 3
  11. 2021Meta-Learning with Variational Semantic Memory for Word Sense Disambiguationcited by 2
  12. 2021A Survey On Neural Word Embeddingscited by 2
7 more
  1. 2021EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word sensescited by 1
  2. 2023Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddingscited by 1
  3. 2021Sense representations for Portuguese: experiments with sense embeddings and deep neural language modelscited by 0
  4. 2022Representation Learning of Image Schemacited by 0
  5. 2024Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resourcescited by 0
  6. 2024Semantic Cells: Evolutional Process to Acquire Sense Diversity of Itemscited by 0
  7. 2026Decoder-based Sense Knowledge Distillationcited by 0