Si Li
Si Li has 3 papers in our library, in 2021–2026, most of them on Discourse analysis, Sentiment & emotion, Dialogue systems; often with Ji-Rong Wen, Jun Xu, Nianwen Xue.
OpenAlex · ORCID · h-index 16 · 117 works · 965 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 45 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7768
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 1 workComputer Graphics and Computer-Aided Design · 1 workHistory and Philosophy of Science · 1 work
🧭 Topics 5Research subjects and languages the work is about.Dialogue systems · 1 workDiscourse analysis · 1 workInformation retrieval & search · 1 workSentiment & emotion · 1 workVision & language · 1 work
Works by year
2020s
Papers
- Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm Detection (2024 · 33 citations)
The paper addresses multimodal sarcasm detection: deciding whether an image–text post is sarcastic. Earlier systems fuse BERT/RoBERTa text features with visual features through elaborate custom networks. The authors argue that such networks tend to overfit their training domain and use cross-modal evidence poorly.… - A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech (2021 · 16 citations)
Chinese speakers frequently omit pronouns that listeners can infer from context. Existing systems handle two related problems separately: dropped pronoun recovery (DPR), which finds where a pronoun is missing and what type it is, and conversational discourse parsing (CDP), which links utterances through relations… - ReContraster: Making Your Posters Stand Out with Regional Contrast (2026 · 2 citations)
ReContraster addresses a gap in text-to-poster generation. Current systems produce tidy layouts and legible text, but their posters rarely grab attention at a glance. The authors build on the "contrast effects" idea from perception research: viewers react strongly to opposing stimuli, such as ruined versus green…
All works
- Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetChenliang Li et al.2018 · 164 citations
- Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Binghao Tang, Boda Lin, Haolong Yan, et al.2024 · 33 citations
- A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational SpeechAnnual Meeting of the Association for Computational Linguistics (ACL)Jingxuan Yang, Kerui Xu, Jun Xu, et al.2021 · 16 citations
- ReContraster: Making Your Posters Stand Out with Regional ContrastAnnual Meeting of the Association for Computational Linguistics (ACL)Peixuan Zhang, Zijian Jia, Ziqi Cai, et al.2026 · 2 citations
- Linguistic Guidance for Sequence-to-Sequence AMR Parsing ↗Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference) · no summary yetBinghao Tang, Boda Lin, Si Li2024
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2021
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2024
- Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
- Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
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