An Ensemble Method to Produce High-Quality Word Embeddings (2016)
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Abstract (arXiv)
A currently successful approach to computational semantics is to represent words as embeddings in a machine-learned vector space. We present an ensemble method that combines embeddings produced by GloVe (Pennington et al., 2014) and word2vec (Mikolov et al., 2013) with structured knowledge from the semantic networks ConceptNet (Speer and Havasi, 2012) and PPDB (Ganitkevitch et al., 2013), merging their information into a common representation with a large, multilingual vocabulary. The embeddings it produces achieve state-of-the-art performance on many word-similarity evaluations. Its score of ρ = .596 on an evaluation of rare words (Luong et al., 2013) is 16% higher than the previous best known system.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Apr 2016.
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Citing papers per year: 2021: 7; 2022: 4; 2023: 0; 2024: 1; 2025: 1.
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- 2021All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-trainingcited by 32
- 2021FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inferencecited by 10
- 2021RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representationscited by 3
- 2022Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledgecited by 2
- 2022Evaluation of taxonomic and neural embedding methods for calculating semantic similaritycited by 2
- 2021Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledgecited by 1
- 2021Contextual Text Embeddings for Twicited by 1
- 2021TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Datacited by 1
- 2021Zero-Shot Learning in Named-Entity Recognition with External Knowledgecited by 1
- 2022Synonym Detection Using Syntactic Dependency And Neural Embeddingscited by 1
- 2024Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Functioncited by 1
- 2022Like a bilingual baby: The advantage of visually grounding a bilingual language modelcited by 0
- 2025Semantic Segmentation of Transparent and Opaque Drinking Glasses with the Help of Zero-shot Learning19 Mar 2025
- 2024Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function4 Oct 2024
- 2022Like a bilingual baby: The advantage of visually grounding a bilingual language model11 Oct 2022
- 2022Synonym Detection Using Syntactic Dependency And Neural Embeddings30 Sep 2022
- 2022Evaluation of taxonomic and neural embedding methods for calculating semantic similarity30 Sep 2022
- 2022Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge21 Feb 2022
- 2021Zero-Shot Learning in Named-Entity Recognition with External Knowledge15 Nov 2021
- 2021TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data8 Nov 2021
- 2021FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference27 Oct 2021
- 2021RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations30 Aug 2021
- 2021All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training12 Apr 2021
- 2021Contextual Text Embeddings for Twi29 Mar 2021
- 2021All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-trainingcited by 32
- 2021FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inferencecited by 10
- 2021RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representationscited by 3
- 2022Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledgecited by 2
- 2022Evaluation of taxonomic and neural embedding methods for calculating semantic similaritycited by 2
- 2021Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledgecited by 1
- 2021Contextual Text Embeddings for Twicited by 1
- 2021TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Datacited by 1
- 2021Zero-Shot Learning in Named-Entity Recognition with External Knowledgecited by 1
- 2022Synonym Detection Using Syntactic Dependency And Neural Embeddingscited by 1
- 2024Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Functioncited by 1
- 2022Like a bilingual baby: The advantage of visually grounding a bilingual language modelcited by 0
12 most cited of 13 All 13 (JSON)
- 2025Semantic Segmentation of Transparent and Opaque Drinking Glasses with the Help of Zero-shot Learning19 Mar 2025
- 2024Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function4 Oct 2024
- 2022Like a bilingual baby: The advantage of visually grounding a bilingual language model11 Oct 2022
- 2022Synonym Detection Using Syntactic Dependency And Neural Embeddings30 Sep 2022
- 2022Evaluation of taxonomic and neural embedding methods for calculating semantic similarity30 Sep 2022
- 2022Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge21 Feb 2022
- 2021Zero-Shot Learning in Named-Entity Recognition with External Knowledge15 Nov 2021
- 2021TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data8 Nov 2021
- 2021FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference27 Oct 2021
- 2021RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations30 Aug 2021
- 2021All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training12 Apr 2021
- 2021Contextual Text Embeddings for Twi29 Mar 2021
12 newest of 13 All 13 (JSON)