Lapata, Mirella

Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Narayan, S., Cohen, S. B., & Lapata, M. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Topic ModelingAdvanced Text Analysis Techniques

Cited by 1,207

Long Short-Term Memory-Networks for Machine Reading

Cheng, J., Dong, L., & Lapata, M. (2016) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,198

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Woodsend, K., & Lapata, M. (2025)

Natural Language Processing TechniquesTopic Modeling

Cited by 787

Language to Logical Form with Neural Attention

Dong, L., & Lapata, M. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 700

Chinese Poetry Generation with Recurrent Neural Networks

Zhang, X., & Lapata, M. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 298

Learning to Generate Product Reviews from Attributes

Dong, L., Huang, S., Wei, F., Lapata, M., Zhou, M., & Xu, K. (2017) · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 190

Extractive Opinion Summarization in Quantized Transformer Spaces

Angelidis, S., Amplayo, R. K., Suhara, Y., Wang, X., & Lapata, M. (2021) · Transactions of the Association for Computational Linguistics

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 85

Data-to-text generation with macro planning

Puduppully, R., & Lapata, M. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 53

Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Narayan, S., Cohen, S. B., & Lapata, M. (2018) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 39

PICO entity extraction for preclinical animal literature.

Wang, Q., Liao, J., Lapata, M., & Macleod, M. (2022) · Systematic Reviews

Biomedical Text Mining and OntologiesMeta-analysis and systematic reviews

Cited by 29

Conditional Generation with a Question-Answering Blueprint

Narayan, S., Maynez, J., Amplayo, R. K., Ganchev, K., Louis, A., Huot, F., Sandholm, A., Das, D., & Lapata, M. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 24

Learning to Plan and Generate Text with Citations

Fierro, C., Amplayo, R. K., Huot, F., De Cao, N., Maynez, J., Narayan, S., & Lapata, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA

Huang, W., Zhou, G., Wang, H., Vougiouklis, P., Lapata, M., & Pan, J. Z. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2

Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics

Du, Y., Huang, W., Zheng, D., Wang, Z., Montella, S., Lapata, M., Wong, K.-F., & Pan, J. Z. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 1