| Stock Movement Prediction from Tweets and Historical Prices Y Xu, SB Cohen ACL, 2018 | 370 | 2018 |
| Coarse-to-Fine Query Focused Multi-Document Summarization Y Xu, M Lapata EMNLP, 3632-3645, 2020 | 75 | 2020 |
| Generating Query Focused Summaries from Query-Free Resources Y Xu, M Lapata ACL, 2021 | 31* | 2021 |
| Document Summarization with Latent Queries Y Xu, M Lapata Transactions of the Association for Computational Linguistics, 2022 | 26* | 2022 |
| Bootstrapping a Crosslingual Semantic Parser T Sherborne, Y Xu, M Lapata EMNLP, 2020 | 25 | 2020 |
| Query Focused Multi-Document Summarization with Distant Supervision Y Xu, M Lapata arXiv preprint arXiv:2004.03027, 2020 | 12 | 2020 |
| Meta Dialogue Policy Learning Y Xu, C Zhu, B Peng, M Zeng arXiv preprint arXiv:2006.02588, 2020 | 9 | 2020 |
| Weakly Supervised Domain Detection Y Xu, M Lapata Transactions of the Association for Computational Linguistics, 2019 | 6 | 2019 |
| Trainable Dynamic Subsampling for End-to-End Speech Recognition S Zhang, E Loweimi, Y Xu, P Bell, S Renals Interspeech, 2019 | 6 | 2019 |
| QTSumm: Query-Focused Summarization over Tabular Data Y Zhao, Z Qi, L Nan, B Mi, Y Liu, W Zou, S Han, R Chen, X Tang, Y Xu, ... EMNLP, 1157-1172, 2023 | 3* | 2023 |
| Text Summarization with Oracle Expectation Y Xu, M Lapata ICLR, 2022 | 3 | 2022 |
| Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks H Zhang, Y Xu, L Perez-Beltrachini arXiv preprint arXiv:2402.17630, 2024 | 1 | 2024 |
| Abstractive Summarizers are Excellent Extractive Summarizers D Varab, Y Xu ACL, 330-339, 2023 | 1 | 2023 |
| Tackling query-focused summarization as a knowledge-intensive task: A pilot study W Zhang, S Vakulenko, T Rajapakse, Y Xu, E Kanoulas arXiv e-prints, arXiv: 2112.07536, 2021 | 1 | 2021 |
| Document Summarization with Neural Query Modeling Y Xu The University of Edinburgh, 2022 | | 2022 |
Mirella LapataSchool of Informatics, Edinburgh UniversityVerified email at inf.ed.ac.uk
