| Semeval-2022 task 11: Multilingual complex named entity recognition (multiconer) S Malmasi, A Fang, B Fetahu, S Kar, O Rokhlenko Proceedings of the 16th international workshop on semantic evaluation …, 2022 | 99 | 2022 |
| Multiconer: a large-scale multilingual dataset for complex named entity recognition S Malmasi, A Fang, B Fetahu, S Kar, O Rokhlenko COLING 2022, 2022 | 89 | 2022 |
| Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data A Fang, C Macdonald, I Ounis, P Habel the 39th International ACM SIGIR conference on Research and Development in …, 2016 | 84 | 2016 |
| GEMNET: Effective gated gazetteer representations for recognizing complex entities in low-context input T Meng, A Fang, O Rokhlenko, S Malmasi Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 68 | 2021 |
| Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries B Fetahu, A Fang, O Rokhlenko, S Malmasi Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 61 | 2021 |
| Topic-centric Classification of Twitter User's Political Orientation A Fang, I Ounis, P Habel, C Macdonald Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 59 | 2015 |
| Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data A Fang, C Macdonald, I Ounis, P Habel the 38th European Conference on Information Retrieval, 2016 | 45 | 2016 |
| Accurate household occupant behavior modeling based on data mining techniques M Baptista, A Fang, H Prendinger, R Prada, Y Yamaguchi Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 27 | 2014 |
| Examining the Coherence of the Top Ranked Tweet Topics A Fang, C Macdonald, I Ounis, H Philip the 39th International ACM SIGIR conference on Research and Development in …, 2016 | 22 | 2016 |
| Using Phoneme Representations to Build Predictive Models Robust to ASR Errors A Fang, F Simone, N Limsopatham, O Rokhlenko Proceedings of the 43th Annual International ACM SIGIR Conference on …, 2020 | 20 | 2020 |
| CycleNER: an unsupervised training approach for named entity recognition A Iovine, A Fang, B Fetahu, O Rokhlenko, S Malmasi Proceedings of the ACM Web Conference 2022, 2916-2924, 2022 | 19 | 2022 |
| Reinforced question rewriting for conversational question answering Z Chen, J Zhao, A Fang, B Fetahu, O Rokhlenko, S Malmasi EMNLP 2022, 2022 | 16 | 2022 |
| Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition B Fetahu, A Fang, O Rokhlenko, S Malmasi NAACL 2022, 2022 | 16 | 2022 |
| Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data A Fang, C Macdonald, I Ounis, P Habel, X Yang the 39th European Conference on Information Retrieval, 2017 | 16 | 2017 |
| Votes on twitter: Assessing candidate preferences and topics of discussion during the 2016 US presidential election A Fang, P Habel, I Ounis, C MacDonald Sage Open 9 (1), 2158244018791653, 2019 | 13 | 2019 |
| News and information leadership in the digital age P Habel, R Moon, A Fang Information, Communication & Society 21 (11), 1604-1619, 2018 | 13 | 2018 |
| An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter A Fang, I Ounis, C Macdonald, P Habel, X Xiong, H Yu ACM CIKM 2018, 2018 | 6 | 2018 |
| On the reproducibility and generalisation of the linear transformation of word embeddings X Yang, I Ounis, R McCreadie, C Macdonald, A Fang Advances in Information Retrieval: 40th European Conference on IR Research …, 2018 | 6 | 2018 |
| Analysing political events on Twitter: topic modelling and user community classification A Fang ACM SIGIR Forum 53 (1), 38-39, 2021 | 5 | 2021 |
| Implementation and Analytics of the Distributed Eco-Driving Simulation iCO2 B Hollerit, H Prendinger, R Jain, D Fontes, H Campos, H Damas, A Fang, ... IEEE Access 9, 36252-36265, 2021 | 4 | 2021 |
Oleg RokhlenkoAmazon在 amazon.com 的电子邮件经过验证
