mlsanityData to 14 Oct 2026

Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network

arXiv 1701.02962 ↗First posted 11 Jan 2017cs.CLcited by 19

Not on the map. Why?

Abstract (arXiv)

Distinguishing between antonyms and synonyms is a key task to achieve high performance in NLP systems. While they are notoriously difficult to distinguish by distributional co-occurrence models, pattern-based methods have proven effective to differentiate between the relations. In this paper, we present a novel neural network model AntSynNET that exploits lexico-syntactic patterns from syntactic parse trees. In addition to the lexical and syntactic information, we successfully integrate the distance between the related words along the syntactic path as a new pattern feature. The results from classification experiments show that AntSynNET improves the performance over prior pattern-based methods.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Jan 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 5; 2025: 5; 2026: 5.

19 papers.

Sort:

By area:

  1. 2023Function Vectors in Large Language Modelscited by 308
  2. 2025The Dual-Route Model of Inductioncited by 24
  3. 2021Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemescited by 18
  4. 2024In-Context Learning State Vector with Inner and Momentum Optimizationcited by 15
  5. 2025Learning Task Representations from In-Context Learningcited by 11
  6. 2025Do different prompting methods yield a common task representation in language models?cited by 11
  7. 2025How Do Language Models Compose Functions?cited by 8
  8. 2024LIVE: Learnable In-Context Vector for Visual Question Answeringcited by 5
  9. 2024Task Diversity Shortens the ICL Plateaucited by 5
  10. 2021News-based Business Sentiment and its Properties as an Economic Indexcited by 3
  11. 2024Reversed Attention: On The Gradient Descent Of Attention Layers In GPTcited by 2
  12. 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideologycited by 1
7 more
  1. 2024Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET)cited by 1
  2. 2025Bhav-Net: Knowledge Transfer for Cross-Lingual Antonym vs Synonym Distinction via Dual-Space Graph Transformerscited by 0
  3. 2026Emergent Structured Representations Support Flexible In-Context Inference in Large Language Modelscited by 0
  4. 2026A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddingscited by 0
  5. 2026LayerTracer: A Joint Task-Particle and Vulnerable-Layer Analysis framework for Arbitrary Large Language Model Architecturescited by 0
  6. 2026Freeze Deep, Train Shallow: Interpretable Layer Allocation for Continued Pre-Trainingcited by 0
  7. 2026Fast & Faithful Function Vectorscited by 0