Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction
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Abstract (arXiv)
We propose a novel vector representation that integrates lexical contrast into distributional vectors and strengthens the most salient features for determining degrees of word similarity. The improved vectors significantly outperform standard models and distinguish antonyms from synonyms with an average precision of 0.66-0.76 across word classes (adjectives, nouns, verbs). Moreover, we integrate the lexical contrast vectors into the objective function of a skip-gram model. The novel embedding outperforms state-of-the-art models on predicting word similarities in SimLex-999, and on distinguishing antonyms from synonyms.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 May 2016.
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Citing papers per year: 2021: 3; 2022: 4; 2023: 2; 2024: 2; 2025: 0; 2026: 2.
13 papers.
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- 2021Measuring and Improving Consistency in Pretrained Language Modelscited by 364
- 2021Experience Report: Deep Learning-based System Log Analysis for Anomaly Detectioncited by 37
- 2022LogGD:Detecting Anomalies from System Logs by Graph Neural Networkscited by 8
- 2023On the Effectiveness of Log Representation for Log-based Anomaly Detectioncited by 6
- 2021A Survey On Neural Word Embeddingscited by 2
- 2022Memory-assisted prompt editing to improve GPT-3 after deploymentcited by 2
- 2026Detecting LLM Hallucinations via Embedding Cluster Geometry: A Three-Type Taxonomy with Measurable Signaturescited by 2
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideologycited by 1
- 2023Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detectioncited by 1
- 2024Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET)cited by 1
- 2022Permutation invariant matrix statistics and computational language taskscited by 0
- 2024TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameterscited by 0
- 2026A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings25 Mar 2026
- 2026Detecting LLM Hallucinations via Embedding Cluster Geometry: A Three-Type Taxonomy with Measurable Signatures15 Feb 2026
- 2024TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameters22 Nov 2024
- 2024Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET)18 Jan 2024
- 2023Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection24 Aug 2023
- 2023On the Effectiveness of Log Representation for Log-based Anomaly Detection17 Aug 2023
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology14 Dec 2022
- 2022LogGD:Detecting Anomalies from System Logs by Graph Neural Networks16 Sep 2022
- 2022Permutation invariant matrix statistics and computational language tasks14 Feb 2022
- 2022Memory-assisted prompt editing to improve GPT-3 after deployment16 Jan 2022
- 2021A Survey On Neural Word Embeddings5 Oct 2021
- 2021Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection13 Jul 2021
1 more
- 2021Measuring and Improving Consistency in Pretrained Language Modelscited by 364
- 2021Experience Report: Deep Learning-based System Log Analysis for Anomaly Detectioncited by 37
- 2022LogGD:Detecting Anomalies from System Logs by Graph Neural Networkscited by 8
- 2023On the Effectiveness of Log Representation for Log-based Anomaly Detectioncited by 6
- 2021A Survey On Neural Word Embeddingscited by 2
- 2022Memory-assisted prompt editing to improve GPT-3 after deploymentcited by 2
- 2026Detecting LLM Hallucinations via Embedding Cluster Geometry: A Three-Type Taxonomy with Measurable Signaturescited by 2
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideologycited by 1
- 2023Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detectioncited by 1
- 2024Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET)cited by 1
- 2022Permutation invariant matrix statistics and computational language taskscited by 0
- 2024TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameterscited by 0
12 most cited of 13 All 13 (JSON)
- 2026A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings25 Mar 2026
- 2026Detecting LLM Hallucinations via Embedding Cluster Geometry: A Three-Type Taxonomy with Measurable Signatures15 Feb 2026
- 2024TPLogAD: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameters22 Nov 2024
- 2024Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET)18 Jan 2024
- 2023Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection24 Aug 2023
- 2023On the Effectiveness of Log Representation for Log-based Anomaly Detection17 Aug 2023
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology14 Dec 2022
- 2022LogGD:Detecting Anomalies from System Logs by Graph Neural Networks16 Sep 2022
- 2022Permutation invariant matrix statistics and computational language tasks14 Feb 2022
- 2022Memory-assisted prompt editing to improve GPT-3 after deployment16 Jan 2022
- 2021A Survey On Neural Word Embeddings5 Oct 2021
- 2021Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection13 Jul 2021
12 newest of 13 All 13 (JSON)