Search results

• 2024

  Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models

  Xiang, Y., Yan, H., Gui, L. & He, Y., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 6467-6481 15 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Language Modeling 100%
  • Training 40%
  • Natural Language Processing 16%
  • Training Phase 16%
  • Contrastive Learning 16%

• CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling

  Fang, Z., He, Y. & Procter, R., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 4273-4286 14 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Word Embedding 100%
  • Bidirectional Encoder Representations From Transformers 100%
  • Words 100%
  • Abilities 25%
  • Information 16%
  1 Citation (Scopus)

• DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information

  Bobrov, A., Saltenis, D., Sun, Z., Pergola, G. & He, Y., 2024, System Demonstrations. Cao, Y., Feng, Y. & Xiong, D. (eds.). Association for Computational Linguistics (ACL), p. 180-189 10 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Annotation 100%
  • Scientific Visualization 100%
  • User 50%
  • Information Visualization 50%
  • Demonstration System 50%

• Knowledge Graphs for Real-World Rumour Verification

  Dougrez-Lewis, J., Kochkina, E., Liakata, M. & He, Y., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 9843-9853 11 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Time-Sensitive 100%

• Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives

  Zhao, R., Zhu, Q. Z., Xu, H., Li, J., Zhou, Y., He, Y. & Gui, L., 2024, The 62nd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics (ACL)

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  File
  37 Downloads (Pure)

• Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study

  Sun, Z., Pergola, G., Wallace, B. C. & He, Y., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 344-357 14 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Empirical study 100%
  • Noise 100%
  • Application 100%
  • Label 100%
  • Event Extraction 100%
  5 Citations (Scopus)

• Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning

  Yan, H., Zhu, Q., Wang, X., Gui, L. & He, Y., 2024, Long Papers. Ku, L.-W., Martins, A. F. T. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 7086-7103 18 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Knowledge 100%
  • Perspective 100%
  • Reasoning 100%
  • Multiple Perspective 100%
  • Large Language Model 100%

• Multi-Layer Ranking with Large Language Models for News Source Recommendation

  Zhang, W., Gui, L., Procter, R. & He, Y., 10 Jul 2024, SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2537-2542 6 p. (SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Large Language Model 100%
  • Recommender Systems 33%

• NarrativePlay: Interactive Narrative Understanding

  Zhao, R., Zhang, W., Li, J., Zhu, L., Li, Y., He, Y. & Gui, L., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of System Demonstrations. Aletras, N. & De Clercq, O. (eds.). Association for Computational Linguistics (ACL), p. 82-93 12 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of System Demonstrations).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • User 100%
  • Roles 33%
  • User Experience 33%
  • Immersive Environment 33%
  • Large Language Model 33%

• NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing

  Zhao, R., Zhang, W., Li, J., Zhu, L., Li, Y., He, Y. & Gui, L., 25 Mar 2024, The 38th Annual AAAI Conference on Artificial Intelligence. 21 ed. AAAI Press, Vol. 38. p. 23859-23861 3 p. (Proceedings of the AAAI Conference on Artificial Intelligence).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • User 100%
  • Roles 100%
  • User Experience 50%
  • Enabling System 50%
  • Large Language Model 50%
  2 Citations (Scopus)

• OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models

  Xu, H., He, Y., Zhu, L., Zhao, R. & Du, J., 15 Apr 2024, The 62nd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics (ACL), p. 8593-8623 31 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Large Language Model 100%
  • Mental State 100%
  • Modeling 66%
  • Personality Trait 40%
  • And-States 33%

• Opinions Are Not Always Positive: Debiasing Opinion Summarization With Model-Specific and Model-Agnostic Methods

  Zhang, Y., Lai, Y., Wang, Z., Li, P., Zhou, D. & He, Y., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 12496-12513 18 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Opinion Summarization 100%
  • Summarization 100%
  • Dataset 28%
  • Content Information 16%
  • Summary Data 16%

• Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation

  Tan, X., Zhou, Y., Pergola, G. & He, Y., 2024, Long Papers. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 3872-3892 21 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Temporal Graph 100%
  • Training Example 20%
  • Language Modeling 20%
  • Target Sequence 20%
  • Data Augmentation 20%

• The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis

  Zhou, Y., Li, J., Xiang, Y., Yan, H., Gui, L. & He, Y., 1 Nov 2024, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Miami, Florida, USA: Association for Computational Linguistics, p. 14365-14378 14 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Topic Taxonomy Construction from ESG Reports

  Alnajjar, S., Wang, X. & He, Y., 2024, Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services and the 4th Economics and Natural Language Processing, FinNLP-KDF-ECONLP 2024 at LREC-COLING 2024 - Workshop Proceedings. Chen, C.-C., Ma, Z. & Hahn, U. (eds.). European Language Resources Association (ELRA), p. 178-187 10 p. (Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services and the 4th Economics and Natural Language Processing, FinNLP-KDF-ECONLP 2024 at LREC-COLING 2024 - Workshop Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Governance 100%
  • Construction 100%
  • Typology 100%
  • Investors 100%
  • Investment 50%

• Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond

  Wang, X., Xu, H., Gui, L. & He, Y., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 8324-8340 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Large Language Model 100%
  • Language Modeling 33%
  • Embedding Method 33%
  • Interpretability 16%
  • Multitask Learning 16%

• Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems

  Da Silva, I. L., Yan, H., Gui, L. & He, Y., 2024, The 2024 Conference on Empirical Methods in Natural Language Processing.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  File

  • Event Extraction 100%
  • Evaluation Models 66%
  • Performance Model 33%
  • Reinforcement Learning 33%
  22 Downloads (Pure)
• 2023

  Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding

  Zhu, L., Zhao, R., Gui, L. & He, Y., 7 Oct 2023, (Accepted/In press) Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL)

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Large Language Model 100%
  • Survey 50%
  • Evaluation Metric 50%
  • Training Objective 50%
  • Narrative Comprehension 50%

• A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports

  Wang, X., Gui, L. & He, Y., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 13215-13229 15 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Modeling 100%
  • Contextual Information 33%
  • Structured Information 33%
  • Segmentation 33%
  • Hierarchical Manner 33%

• A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System

  Fang, Z., Alqazlan, L., Liu, D., He, Y. & Procter, R., 2023, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics (ACL), p. 505-522 18 p. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • User 100%
  • Human-in-the-Loop 100%
  • Provide Feedback 33%
  • Process Modeling 33%
  • Modeling Process 14%

• Causal Inference from Text: Unveiling Interactions between Variables

  Zhou, Y. & He, Y., 8 Oct 2023, (Accepted/In press) Findings of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 23). Association for Computational Linguistics (ACL)

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Variables 100%
  • Covariate 100%
  • Estimating Causal Effect 100%
  • Causal Inference 100%
  • Causal Effect 60%
  41 Downloads (Pure)

• Cone: Unsupervised Contrastive Opinion Extraction

  Zhao, R., Gui, L. & He, Y., Jul 2023, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Contrastive Learning 100%
  • Opinion Summarization 100%
  105 Downloads (Pure)

• Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions

  Zhu, L., Zhao, R., Pergola, G. & He, Y., 9 Jul 2023, Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics (ACL), p. 1827-1842 16 p. 115. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Vaccination 100%
  • User 100%
  • Mechanisms 100%
  • Sentiment Analysis 66%
  • Category 50%
  1 Citation (Scopus)

• EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification

  Zhu, Y., Si, J., Zhao, Y., Zhu, H., Zhou, D. & He, Y., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 13377-13392 16 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Data Augmentation 100%
  • Logical Relation 100%
  • Logical Relationship 100%
  • Data Domain 50%
  2 Citations (Scopus)

• PANACEA: An Automated Misinformation Detection System on COVID-19

  Zhao, R., Arana-catania, M., Zhu, L., Kochkina, E., Gui, L., Zubiaga, A., Procter, R., Liakata, M. & He, Y., May 2023, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics (ACL), p. 67–74

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Misinformation 100%
  • Knowledge Base 50%
  • User 25%
  • Attention (Machine Learning) 25%
  • Graph Convolutional Network 25%
  39 Downloads (Pure)