Publications

  • Peiqin Lin*, Shaoxiong Ji*, Jörg Tiedemann, André F. T. Martins, Hinrich Schütze. MaLA-500: Massive Language Adaptation of Large Language Models. In arXiv 2024. [Paper][Huggingface]
  • Peiqin Lin*, Chengzhi Hu*, Zheyu Zhang, André F. T. Martins, Hinrich Schütze. mPLM-Sim: Unveiling Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models. In EACL Findings 2024, Malta. [Paper][Code]
  • Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Šuppa, Hila Gonen, Joseph Marvin Imperial, Börje F. Karlsson, Peiqin Lin, Nikola Ljubešić, LJ Miranda, Barbara Plank, Arij Riabi, Yuval Pinter. Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. In arXiv 2023. [Paper]
  • Yihong Liu, Peiqin Lin, Mingyang Wang, Hinrich Schütze. OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining. In arXiv 2023. [Paper][Code]
  • Ayyoob Imani*, Peiqin Lin*, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze. Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. In ACL 2023, Toronto, Canada. [Paper][Code][Slides][Huggingface] (Area Chair Award)
  • Peiqin Lin, Jiashuo Wang, Hinrich Schütze, Wenjie Li. Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation. In arXiv 2022. [Paper][Code]
  • Wei Chen, Peiqin Lin, Wanqi Zhang, Jinglong Du, Zhongshi He. Hierarchical Interactive Network for Joint Aspect Extraction and Sentiment Classification. In KBS 2022. [Paper]
  • Jiashuo Wang, Wenjie Li, Peiqin Lin, Feiteng Mu. Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality. In KBS 2021. [Paper]
  • Peiqin Lin, Meng Yang, Yu Gu. A Hierarchical Inter-Clause Interaction Network for Emotion Cause Extraction. In IJCNN 2021, Virtual.
  • Shaomin Zheng, Meng Yang, Yongjie Huang, Peiqin Lin. Utilization of Question Categories in Multi-Document Machine Reading Comprehension. In IJCNN 2021, Virtual.
  • Peiqin Lin, Meng Yang, Jianhuang Lai. Deep Selective Memory Network with Selective Attention and Inter-Aspect Modeling for Aspect Level Sentiment Classification. In TASLP 2021. [Paper][Code]
  • Peiqin Lin, Meng Yang. A Shared-Private Representation Model with Coarse-to-Fine Extraction for Target Sentiment Analysis. In EMNLP Findings 2020, Virtual. [Paper][Code]
  • Yu Gu, Meng Yang, Peiqin Lin. Lightweight Multiple Perspective Fusion with Information Enriching for BERT-based Answer Selection. In NLPCC 2020, Zhengzhou, China. [Paper][Slides]
  • Peiqin Lin. A Local-Global Representation Network for Aspect Level Sentiment Analysis. Master Thesis. 2020. (Sun Yat-sen University Outstanding Thesis Award)
  • Peiqin Lin, Meng Yang. Hierarchical Attention Network with Pairwise Loss for Chinese Zero Pronoun Resolution. In AAAI 2020, New York, USA. [Paper][Code][Slides]
  • Peiqin Lin, Meng Yang, Jianhuang Lai. Deep Mask Memory Networks with Semantic Dependency and Context Moment for Aspect-based Sentiment Analysis. In IJCAI 2019, Macao, China. [Paper][Code][Slides]

(* denotes equal contribution)