mlsanityData to 7 Oct 2026

Contrastive Language Adaptation for Cross-Lingual Stance Detection

arXiv 1910.02076 ↗First posted 4 Oct 2019cs.CL cs.LGcited by 18

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Abstract (arXiv)

We study cross-lingual stance detection, which aims to leverage labeled data in one language to identify the relative perspective (or stance) of a given document with respect to a claim in a different target language. In particular, we introduce a novel contrastive language adaptation approach applied to memory networks, which ensures accurate alignment of stances in the source and target languages, and can effectively deal with the challenge of limited labeled data in the target language. The evaluation results on public benchmark datasets and comparison against current state-of-the-art approaches demonstrate the effectiveness of our approach.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Oct 2019.

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Citing papers per year: 2021: 8; 2022: 5; 2023: 3; 2024: 2.

18 papers.

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  1. 2021A Survey on Stance Detection for Mis- and Disinformation Identificationcited by 75
  2. 2022Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learningcited by 41
  3. 2021Cross-Domain Label-Adaptive Stance Detectioncited by 30
  4. 2021Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Trainingcited by 28
  5. 2021Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoderscited by 12
  6. 2023Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attentioncited by 11
  7. 2021Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twittercited by 10
  8. 2021AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checkingcited by 8
  9. 2022Stanceosaurus: Classifying Stance Towards Multilingual Misinformationcited by 8
  10. 2022CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysiscited by 6
  11. 2021Rumour Detection via Zero-shot Cross-lingual Transfer Learningcited by 5
  12. 2021Capturing Stance Dynamics in Social Media: Open Challenges and Research Directionscited by 4
6 more
  1. 2023TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddingscited by 4
  2. 2024Collaborative Knowledge Infusion for Low-resource Stance Detectioncited by 4
  3. 2022Zero-shot stance detection based on cross-domain feature enhancement by contrastive learningcited by 1
  4. 2023A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detectioncited by 1
  5. 2024Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptationcited by 1
  6. 2022Stance Detection and Open Research Avenuescited by 0