Nikolaos Pappas

According to our database, Nikolaos Pappas authored at least 42 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Modeling Context With Linear Attention for Scalable Document-Level Translation.

Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ABC: Attention with Bounded-memory Control.

Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Random Feature Attention.

Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong

Proceedings of the 9th International Conference on Learning Representations, 2021

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation.

Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith

Proceedings of the 9th International Conference on Learning Representations, 2021

Sentence Bottleneck Autoencoders from Transformer Language Models.

Ivan Montero, Nikolaos Pappas, Noah A. Smith

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Finetuning Pretrained Transformers into RNNs.

Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation.

Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith

CoRR, 2020

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.

Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret

Proceedings of the 37th International Conference on Machine Learning, 2020

Multilevel Text Alignment with Cross-Document Attention.

Xuhui Zhou, Nikolaos Pappas, Noah A. Smith

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Grounded Compositional Outputs for Adaptive Language Modeling.

Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Plug and Play Autoencoders for Conditional Text Generation.

Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

GILE: A Generalized Input-Label Embedding for Text Classification.

Nikolaos Pappas, James Henderson

Trans. Assoc. Comput. Linguistics, 2019

Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains.

Navid Rekabsaz, Nikolaos Pappas, James Henderson, Banriskhem K. Khonglah, Srikanth R. Madikeri

CoRR, 2019

Deep Residual Output Layers for Neural Language Generation.

Nikolaos Pappas, James Henderson

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation.

Xiao Pu, Nikolaos Pappas, James Henderson, Andrei Popescu-Belis

Trans. Assoc. Comput. Linguistics, 2018

Joint Input-Label Embedding for Neural Text Classification.

Nikolaos Pappas, James Henderson

CoRR, 2018

Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation.

Nikolaos Pappas, Lesly Miculicich Werlen, James Henderson

Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Self-Attentive Residual Decoder for Neural Machine Translation.

Lesly Miculicich Werlen, Nikolaos Pappas, Dhananjay Ram, Andrei Popescu-Belis

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Document-Level Neural Machine Translation with Hierarchical Attention Networks.

Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, James Henderson

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Explicit Document Modeling through Weighted Multiple-Instance Learning.

Nikolaos Pappas, Andrei Popescu-Belis

J. Artif. Intell. Res., 2017

Multilingual visual sentiment concept clustering and analysis.

Nikolaos Pappas, Miriam Redi, Mercan Topkara, Hongyi Liu, Brendan Jou, Tao Chen, Shih-Fu Chang

Int. J. Multim. Inf. Retr., 2017

Global-Context Neural Machine Translation through Target-Side Attentive Residual Connections.

Lesly Miculicich Werlen, Nikolaos Pappas, Dhananjay Ram, Andrei Popescu-Belis

CoRR, 2017

Sense-Aware Statistical Machine Translation using Adaptive Context-Dependent Clustering.

Xiao Pu, Nikolaos Pappas, Andrei Popescu-Belis

Proceedings of the Second Conference on Machine Translation, 2017

Multilingual Hierarchical Attention Networks for Document Classification.

Nikolaos Pappas, Andrei Popescu-Belis

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

The SUMMA Platform Prototype.

Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Adaptive sentiment-aware one-class collaborative filtering.

Nikolaos Pappas, Andrei Popescu-Belis

Expert Syst. Appl., 2016

Multilingual Visual Sentiment Concept Matching.

Nikolaos Pappas, Miriam Redi, Mercan Topkara, Brendan Jou, Hongyi Liu, Tao Chen, Shih-Fu Chang

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Complura: Exploring and Leveraging a Large-scale Multilingual Visual Sentiment Ontology.

Hongyi Liu, Brendan Jou, Tao Chen, Mercan Topkara, Nikolaos Pappas, Miriam Redi, Shih-Fu Chang

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Human versus Machine Attention in Document Classification: A Dataset with Crowdsourced Annotations.

Nikolaos Pappas, Andrei Popescu-Belis

Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

2015

Combining content with user preferences for non-fiction multimedia recommendation: a study on TED lectures.

Nikolaos Pappas, Andrei Popescu-Belis

Multim. Tools Appl., 2015

Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology.

Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Redi, Mercan Topkara, Shih-Fu Chang

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014

Multimodal Reranking of Content-based Recommendations for Hyperlinking Video Snippets.

Chidansh Amitkumar Bhatt, Nikolaos Pappas, Maryam Habibi, Andrei Popescu-Belis

Proceedings of the International Conference on Multimedia Retrieval, 2014

Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis.

Nikolaos Pappas, Andrei Popescu-Belis

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Sentiment analysis of user comments for one-class collaborative filtering over ted talks.

Nikolaos Pappas, Andrei Popescu-Belis

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Multi-factor segmentation for topic visualization and recommendation: the MUST-VIS system.

Chidansh Amitkumar Bhatt, Andrei Popescu-Belis, Maryam Habibi, Sandy Ingram, Stefano Masneri, Fergus McInnes, Nikolaos Pappas, Oliver Schreer

Proceedings of the ACM Multimedia Conference, 2013

Idiap at MediaEval 2013: Search and Hyperlinking Task.

Chidansh Amitkumar Bhatt, Nikolaos Pappas, Maryam Habibi, Andrei Popescu-Belis

Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

Processing and Linking Audio Events in Large Multimedia Archives: The EU inEvent Project.

Hervé Bourlard, Marc Ferras, Nikolaos Pappas, Andrei Popescu-Belis, Steve Renals, Fergus McInnes, Peter Bell, Sandy Ingram, Maël Guillemot

Proceedings of the First Workshop on Speech, 2013

Distinguishing the Popularity between Topics: A System for Up-to-Date Opinion Retrieval and Mining in the Web.

Nikolaos Pappas, Georgios Katsimpras, Efstathios Stamatatos

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2013

Combining content with user preferences for TED lecture recommendation.

Nikolaos Pappas, Andrei Popescu-Belis

Proceedings of the 11th International Workshop on Content-Based Multimedia Indexing, 2013

2012

Extracting informative textual parts from web pages containing user-generated content.

Nikolaos Pappas, Georgios Katsimpras, Efstathios Stamatatos

Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies, 2012

An Agent-Based Focused Crawling Framework for Topic- and Genre-Related Web Document Discovery.

Nikolaos Pappas, Georgios Katsimpras, Efstathios Stamatatos

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

Enhancing the Collective Knowledge for the Engineering of Ontologies in Open and Socially Constructed Learning Spaces.

Konstantinos Kotis, Andreas Papasalouros, George A. Vouros, Nikolaos Pappas, Konstantinos Zoumpatianos

J. Univers. Comput. Sci., 2011