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Xingyi Song
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2020 – today
- 2023
- [j4]Ziqi Zhang
, Xingyi Song:
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. SN Comput. Sci. 4(1): 15 (2023) - [c11]David Wilby, Twin Karmakharm, Ian Roberts, Xingyi Song, Kalina Bontcheva:
GATE Teamware 2: An open-source tool for collaborative document classification annotation. EACL (System Demonstrations) 2023: 145-151 - [i14]Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter. CoRR abs/2301.06660 (2023) - [i13]Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification. CoRR abs/2303.09421 (2023) - [i12]Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard:
Similarity-Aware Multimodal Prompt Learning for Fake News Detection. CoRR abs/2304.04187 (2023) - [i11]Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song:
Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. CoRR abs/2304.04806 (2023) - [i10]Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. CoRR abs/2304.04811 (2023) - 2022
- [c10]Iknoor Singh
, Kalina Bontcheva
, Xingyi Song
, Carolina Scarton
:
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation. SocInfo 2022: 128-143 - [i9]Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva:
Classifying COVID-19 vaccine narratives. CoRR abs/2207.08522 (2022) - [i8]Iknoor Singh, Kalina Bontcheva, Xingyi Song, Carolina Scarton:
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation. CoRR abs/2212.07457 (2022) - 2021
- [i7]Ye Jiang, Xingyi Song, Carolina Scarton, Ahmet Aker, Kalina Bontcheva:
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic. CoRR abs/2106.11702 (2021) - [i6]Ziqi Zhang, Xingyi Song:
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. CoRR abs/2109.01411 (2021) - 2020
- [j3]Diana Maynard
, Benedetto Lepori
, Johann Petrak, Xingyi Song
, Philippe Larédo:
Using ontologies to map between research data and policymakers' presumptions: the experience of the KNOWMAK project. Scientometrics 125(2): 1275-1290 (2020) - [c9]Ye Jiang, Yimin Wang, Xingyi Song
, Diana Maynard
:
Comparing Topic-Aware Neural Networks for Bias Detection of News. ECAI 2020: 2054-2061 - [c8]Xingyi Song, Johnny Downs, Sumithra Velupillai, Rachel Holden, Maxim Kikoler, Kalina Bontcheva, Rina Dutta, Angus Roberts:
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour. LREC 2020: 1303-1310 - [c7]Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna:
RP-DNN: A Tweet Level Propagation Context Based Deep Neural Networks for Early Rumor Detection in Social Media. LREC 2020: 6094-6105 - [i5]Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna:
RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media. CoRR abs/2002.12683 (2020) - [i4]Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard, Kalina Bontcheva:
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus. CoRR abs/2006.03354 (2020)
2010 – 2019
- 2019
- [c6]Ye Jiang
, Johann Petrak, Xingyi Song, Kalina Bontcheva, Diana Maynard
:
Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. SemEval@NAACL-HLT 2019: 840-844 - [i3]Mark A. Greenwood, Mehmet E. Bakir, Genevieve Gorrell, Xingyi Song, Ian Roberts
, Kalina Bontcheva
:
Online Abuse of UK MPs from 2015 to 2019: Working Paper. CoRR abs/1904.11230 (2019) - 2018
- [j2]Richard G. Jackson
, Ismail Emre Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts
, Xingyi Song
, Honghan Wu
, Asha Agrawal, Kenneth Lui, Tudor Groza
, Damian Lewsley, Doug Northwood, Amos Folarin
, Robert Stewart
, Richard J. B. Dobson
:
CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. BMC Medical Informatics Decis. Mak. 18(1): 47:1-47:13 (2018) - [c5]Xingyi Song, Johann Petrak, Angus Roberts
:
A Deep Neural Network Sentence Level Classification Method with Context Information. EMNLP 2018: 900-904 - [i2]Xingyi Song, Johann Petrak, Angus Roberts:
A Deep Neural Network Sentence Level Classification Method with Context Information. CoRR abs/1809.00934 (2018) - [i1]Genevieve Gorrell, Xingyi Song, Angus Roberts:
Bio-YODIE: A Named Entity Linking System for Biomedical Text. CoRR abs/1811.04860 (2018) - 2017
- [c4]Ye Jiang
, Xingyi Song, Jackie Harrison, Shaun Quegan, Diana Maynard
:
Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation. NLPmJ@EMNLP 2017: 25-30 - 2016
- [b1]Xingyi Song:
Training machine translation for human acceptability. University of Sheffield, UK, 2016 - [c3]Frédéric Blain, Xingyi Song, Lucia Specia:
Sheffield Systems for the English-Romanian WMT Translation Task. WMT 2016: 259-263 - 2014
- [c2]Xingyi Song, Lucia Specia, Trevor Cohn:
Data selection for discriminative training in statistical machine translation. EAMT 2014: 45-52 - 2013
- [j1]Xingyi Song, Trevor Cohn, Lucia Specia:
BLEU Deconstructed: Designing a Better MT Evaluation Metric. Int. J. Comput. Linguistics Appl. 4(2): 29-44 (2013) - 2011
- [c1]Xingyi Song, Trevor Cohn:
Regression and Ranking based Optimisation for Sentence Level MT Evaluation. WMT@EMNLP 2011: 123-129
Coauthor Index

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last updated on 2023-05-15 01:56 CEST by the dblp team
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