Ming Liu
Ming Liu has 2 papers in our library, in 2020–2025, most of them on Question answering, Discourse analysis, Language models & pretraining; often with Bing Qin, Jiaqi Li, Min-Yen Kan.
OpenAlex · ORCID · h-index 27 · 118 works · 2,420 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 70 times in our library · ⭐ Paper Stars ranking: #4832
Affiliations
Concepts, shelves and topics
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 5Research subjects and languages the work is about.Question answering · 2 worksDialogue systems · 1 workDiscourse analysis · 1 workKnowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Ontology engineering · 1 work
Works by year
2020s
Papers
- Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure (2020 · 141 citations)
Most machine reading comprehension (MRC) benchmarks use well-edited prose. Multiparty chat is different: consecutive messages often do not connect, and replies can target turns far back in the conversation. Earlier dialog MRC sets were either small (FriendsQA) or mostly two-party (DREAM), and none of them annotated… - Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering (2025 · 15 citations)
Approaches that couple large language models with knowledge graphs for question answering (KGQA) typically locate relevant facts through entity embeddings and graph search.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
- International Conference on Computational Linguistics (COLING): COLING 2020
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/ming-liu/