Nedim Lipka
Cited by
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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
Intrinsic plagiarism analysis
B Stein, N Lipka, P Prettenhofer
Language Resources and Evaluation 45, 63-82, 2011
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
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
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
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
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
Towards automatic quality assurance in Wikipedia
M Anderka, B Stein, N Lipka
Proceedings of the 20th international conference companion on World wide web …, 2011
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
Open intent extraction from natural language interactions
N Vedula, N Lipka, P Maneriker, S Parthasarathy
Proceedings of The Web Conference 2020, 2009-2020, 2020
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
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
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
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
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
Meta analysis within authorship verification
B Stein, N Lipka, SM zu Eissen
2008 19th International Workshop on Database and Expert Systems Applications …, 2008
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
Towards open intent discovery for conversational text
N Vedula, N Lipka, P Maneriker, S Parthasarathy
arXiv preprint arXiv:1904.08524, 2019
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
Web genre analysis: Use cases, retrieval models, and implementation issues
B Stein, SM Eissen, N Lipka
Genres on the web: Computational models and empirical studies, 167-189, 2011
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Articles 1–20