Graph neural networks with heterophily J Zhu, RA Rossi, A Rao, T Mai, N Lipka, NK Ahmed, D Koutra Proceedings of the AAAI conference on artificial intelligence 35 (12), 11168 …, 2021 | 318 | 2021 |
Intrinsic plagiarism analysis B Stein, N Lipka, P Prettenhofer Language Resources and Evaluation 45, 63-82, 2011 | 230 | 2011 |
Llavar: Enhanced visual instruction tuning for text-rich image understanding Y Zhang, R Zhang, J Gu, Y Zhou, N Lipka, D Yang, T Sun arXiv preprint arXiv:2306.17107, 2023 | 142 | 2023 |
Identifying featured articles in Wikipedia: writing style matters N Lipka, B Stein Proceedings of the 19th international conference on World wide web, 1147-1148, 2010 | 130 | 2010 |
A comparison of language identification approaches on short, query-style texts T Gottron, N Lipka Advances in Information Retrieval: 32nd European Conference on IR Research …, 2010 | 127 | 2010 |
Predicting quality flaws in user-generated content: the case of Wikipedia M Anderka, B Stein, N Lipka Proceedings of the 35th international ACM conference on research and …, 2012 | 120 | 2012 |
Knowledge graph prompting for multi-document question answering Y Wang, N Lipka, RA Rossi, A Siu, R Zhang, T Derr Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19206 …, 2024 | 73 | 2024 |
Learning emphasis selection for written text in visual media from crowd-sourced label distributions A Shirani, F Dernoncourt, P Asente, N Lipka, S Kim, J Echevarria, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 46 | 2019 |
Towards automatic quality assurance in Wikipedia M Anderka, B Stein, N Lipka Proceedings of the 20th international conference companion on World wide web …, 2011 | 44 | 2011 |
Open intent extraction from natural language interactions N Vedula, N Lipka, P Maneriker, S Parthasarathy Proceedings of The Web Conference 2020, 2009-2020, 2020 | 43 | 2020 |
Predicting online purchase conversion for retargeting J Yeo, S Kim, E Koh, S Hwang, N Lipka Proceedings of the Tenth ACM international conference on web search and data …, 2017 | 42 | 2017 |
Conversion prediction from clickstream: Modeling market prediction and customer predictability J Yeo, S Hwang, E Koh, N Lipka IEEE Transactions on Knowledge and Data Engineering 32 (2), 246-259, 2018 | 37 | 2018 |
StreamHover: Livestream transcript summarization and annotation S Cho, F Dernoncourt, T Ganter, T Bui, N Lipka, W Chang, H Jin, J Brandt, ... arXiv preprint arXiv:2109.05160, 2021 | 33 | 2021 |
Detection of text quality flaws as a one-class classification problem M Anderka, B Stein, N Lipka Proceedings of the 20th ACM international conference on Information and …, 2011 | 32 | 2011 |
Edge: Enriching knowledge graph embeddings with external text S Rezayi, H Zhao, S Kim, RA Rossi, N Lipka, S Li arXiv preprint arXiv:2104.04909, 2021 | 31 | 2021 |
Let me choose: From verbal context to font selection A Shirani, F Dernoncourt, J Echevarria, P Asente, N Lipka, T Solorio arXiv preprint arXiv:2005.01151, 2020 | 27 | 2020 |
Meta analysis within authorship verification B Stein, N Lipka, SM zu Eissen 2008 19th International Workshop on Database and Expert Systems Applications …, 2008 | 26 | 2008 |
Towards open intent discovery for conversational text N Vedula, N Lipka, P Maneriker, S Parthasarathy arXiv preprint arXiv:1904.08524, 2019 | 23 | 2019 |
Survey of aspect-based sentiment analysis datasets SUS Chebolu, F Dernoncourt, N Lipka, T Solorio arXiv preprint arXiv:2204.05232, 2022 | 22 | 2022 |
Cluster-based one-class ensemble for classification problems in information retrieval N Lipka, B Stein, M Anderka Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 21 | 2012 |