mlsanityData to 14 Oct 2026

Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction

arXiv 2305.12258 ↗First posted 20 May 2023cs.CLcited by 6

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Abstract (arXiv)

Latest efforts on cross-lingual relation extraction (XRE) aggressively leverage the language-consistent structural features from the universal dependency (UD) resource, while they may largely suffer from biased transfer (e.g., either target-biased or source-biased) due to the inevitable linguistic disparity between languages. In this work, we investigate an unbiased UD-based XRE transfer by constructing a type of code-mixed UD forest. We first translate the sentence of the source language to the parallel target-side language, for both of which we parse the UD tree respectively. Then, we merge the source-/target-side UD structures as a unified code-mixed UD forest. With such forest features, the gaps of UD-based XRE between the training and predicting phases can be effectively closed. We conduct experiments on the ACE XRE benchmark datasets, where the results demonstrate that the proposed code-mixed UD forests help unbiased UD-based XRE transfer, with which we achieve significant XRE performance gains.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 30 of its 66 references that are in the map. First posted on arXiv 20 May 2023.

Builds on

30 of 66 references.

References · 30

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18 more
  1. 2020Retrofitting Structure-aware Transformer Language Model for End Taskscited by 24
  2. 2021End-to-end Semantic Role Labeling with Neural Transition-based Modelcited by 22
  3. 2022Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysiscited by 22
  4. 2023On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Trainingcited by 20
  5. 2022OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extractioncited by 18
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  7. 2018A Dataset for Building Code-Mixed Goal Oriented Conversation Systemscited by 16
  8. 2020Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLPcited by 15
  9. 2022Conversational Semantic Role Labeling with Predicate-Oriented Latent Graphcited by 14
  10. 2019Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mappingcited by 12
  11. 2014Cross-lingual Annotation Projection for Semantic Rolescited by 11
  12. 2020Cross-lingual Semantic Role Labeling with Model Transfercited by 11
  13. 2019Cross-Lingual Dependency Parsing Using Code-Mixed TreeBankcited by 10
  14. 2022Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extractioncited by 10
  15. 2019Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Textcited by 8
  16. 2019Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labelingcited by 7
  17. 2018Polyglot Semantic Role Labelingcited by 5
  18. 2020Cross-Lingual Adaptation Using Universal Dependenciescited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 0; 2025: 0; 2026: 2.

6 papers.