Publications

2020

Ruben Kruiper, Julian F.V. Vincent, Jessica Chen-Burger, Marc P.Y. Desmulliez and Ioannis Konstas.  In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. To Appear.

Shubham Agarwal, Trung Bui, Joon-Young Lee, Verena Rieser and Ioannis Konstas. History for Visual Dialog: Do we really need it? In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. To Appear.

Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank and Oliver Lemon. A Multi-task Evaluation Framework for Grounded Language Learning. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. To Appear.

Xinnuo Xu, Ondřej Dušek, Jingyi Li, Verena Rieser and Ioannis Konstas. Fact-based Content Weighting for Abstractive Summarisation Evaluation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. To Appear.

Ruben Kruiper, Julian F.V. Vincent, Jessica Chen-Burger, Marc P.Y. Desmulliez and Ioannis Konstas. A Scientific Information Extraction Dataset for Nature Inspired Engineering.  In Proceedings of the 12th Language Resources and Evaluation Conference, To Appear.

2019

Alexandra Birch, Andrew Finch, Hiroaki Hayashi, Ioannis Konstas, Minh-Thang Luong, Graham Neubig, Yusuke Oda, Katsuhito Sudoh. Proceedings of the 3rd Workshop on Neural Generation and Translation. In 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Hong Kong, China. [pdf]

Ondřej Dušek, Karin Sevegnani, Ioannis Konstas and Verena Rieser. Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking). In Proceedings of the 12th International Conference in Natural Language Generation, Tokyo, Japan. [pdf]

Angus Addlesee, Arash Eshghi and Ioannis Konstas. Current Challenges in Spoken Dialogue Systems and Why They Are Critical for Those Living with Dementia. In Proceedings of Dialog for Good, Stockholm, Sweden. [pdf]

Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas and Alexandros Potamianos. SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics. Minneapolis, USA. [pdf]

2018

Amanda Cercas Curry, Ioannis Papaioannou, Alessandro Suglia, Shubham Agarwal, Igor Shalyminov, Xinnuo Xu, Ondřej Dušek, Arash Eshghi, Ioannis Konstas, Verena Rieser and Oliver Lemon. Alana v2: Entertaining and Informative Open-domain Social Dialogue. 2018.  Alexa Prize proceedings. [pdf]

Shubham Agarwal, Ondřej Dušek, Yannis Konstas and Verena Rieser. 2018. Improving Context Modelling in Multimodal Dialogue Generation. In Proceedings of the 11th International Conference on Natural Language Generation, Tilburg, The Netherlands. [pdf]

Xinnuo Xu, Ondřej Dušek, Ioannis Konstas and Verena Rieser. 2018. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium. [pdf]

Srinivasan Iyer, Ioannis Konstas, Alvin Cheung and Luke Zettlemoyer. 2018. Mapping Language to Code in Programmatic Context. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium. [pdf]

Shubham Agarwal, Ondřej Dušek, Ioannis Konstas and Verena Rieser. 2018. A Knowledge-Grounded Multimodal Search-Based Conversational Agent. SCAI, EMNLP, 2018. [pdf]

Ruben Kruiper, Julian F. V. Vincent, Eitan Abraham, Rupert C. Soar, Ioannis Konstas, Jessica Chen-Burger and Marc P. Y. Desmulliez. 2018. Towards a Design Process for Computer-Aided Biomimetics. Biomimetics 2018, 3, 14. [pdf]

2017

Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer. 2017. Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada. [pdf] [code]

Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer. 2017. Learning a Neural Semantic Parser from User Feedback. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada. [pdf]

Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi and Noah A. Smith. 2017. The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. In Proceedings of the 21st SIGNLL Conference on Computational Natural Language Learning, Vancouver, Canada. [pdf]

Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi and Noah A. Smith. 2017. Story Cloze Task: UW NLP System LSDSem 2017 shared task. (Best performing system) [pdf]

2016

Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer and Hannaneh Hajishirzi. 2016. A Theme-Rewriting Approach for Generating Algebra Word Problems. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, USA. [pdf] [bib]

Srinivasan Iyer, Yannis Konstas, Alvin Cheung, Luke Zettlemoyer. 2016. Summarizing Source Code using a Neural Attention Model. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany. [pdf] [bib]

2015

Ioannis Konstas and Frank Keller. 2015. Semantic Role Labeling improves incremental parsing. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics. Beijing, China. [pdf] [bib]

2014

Ioannis Konstas, Frank Keller, Vera Demberg and Mirella Lapata. 2014. Incremental Semantic Role Labeling with Tree Adjoining Grammar. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Doha, Qatar. [pdf] [bib] [slides] [video]

Ioannis Konstas. 2014. Joint Models for Concept-to-Text Generation, PhD Thesis, University of Edinburgh. [pdf]

2013

Ioannis Konstas and Mirella Lapata. 2013. A Global Model for Concept-to-Text Generation, Journal of Artificial Intelligence Research, Volume 48, pages 305-346. [pdf]

Ioannis Konstas and Mirella Lapata. 2013. Inducing Document Plans for Concept-to-Text Generation. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1503-1514, Seattle, Washington, USA. [pdf] [bib] [slides]

Silvia Pareti, Tim O'Keefe, Ioannis Konstas, James R. Curran, and Irena Koprinska. Automatically Detecting and Attributing Indirect Quotations. 2013. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 989-999, Seattle, Washington, USA. [pdf]

2012

Ioannis Konstas and Mirella Lapata. 2012. Concept-to-text generation via discriminative reranking. In Proceedings of the 50th Annual Meeting of the Association for  Computational Linguistics (Volume 1: Long Papers), pages 369-378, Jeju Island, Korea. [pdf] [bib] [slides]

Ioannis Konstas and Mirella Lapata. 2012. Unsupervised concept-to-text generation with hypergraphs. In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 752-761, Montreal, Canada. [pdf] [bib] [slides]

2011

Iván Cantador, Ioannis Konstas, Joemon M. Jose. Categorising Social Tags to Improve Folksonomy-based Recommendations. 2011. Web Semantics: Science, Services and Agents on the World Wide Web, 9(1):1 – 15.

2009

Ioannis Arapakis, Ioannis Konstas, Joemon M. Jose. 2009. Using facial expressions and peripheral physiological signals as implicit indicators of topical relevance. In ACM Multimedia, pages 461-470, Singapore. [pdf]

Ioannis Konstas, Vassilios Stathopoulos, Joemon M. Jose. 2009. On social networks and collaborative recommendation. In SIGIR, pages 195-202, Boston, MA, USA. [pdf]

Ioannis Arapakis, Ioannis Konstas, Joemon M. Jose, Ioannis Kompatsiaris. 2009. Modeling facial expressions and peripheral physiological signals to predict topical relevance. In SIGIR, pages 728-729, Boston, MA, USA. [pdf]

Oliver Lemon, Ioannis Konstas. 2009. User Simulations for Context-Sensitive Speech Recognition in Spoken Dialogue Systems. In EACL, pages 505-513, Athens, Greece. [pdf] [bib]