Below I list papers which have been read and discussed by one of the NLG/NLP reading groups at Aberdeen. The reading group has been running since the early 2000s, but I’m only going to list papers since August 2017.
I Goodfellow, Y Bengio, A Courville (2017). Deep Learning. MIT Press.
C Gardent and L Perez-Beltrachini (2017). A Statistical, Grammar-Based Approach to
Microplanning. Computational Linguistics 43:1-30.
G Boleda and A Herbelot (2016). Formal Distributional Semantics: Introduction to the Special Issue. Computational Linguistics 42:619-635.
A Ramos-Soto, A Jose Bugarın, S Barro, and J Taboada (2015). Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data. IEEE Transactions on Fuzzy Systems, 23:44-57.
S Clark (2015), Vector Space Models of Lexical Meaning. In S Lappin and C Fox (eds), Handbook of Contemporary Semantic Theory. Wiley
A Lampert, R Dale, C Paris (2010). Detecting Emails Containing Requests for Action. Proc of NAACL-2010, pages 984–992
A Goldstein, Y Shahar, E Orenbuch, M Cohen (2017). Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain. Artificial Intelligence in Medicine, 82:20-33.
L Wanner, B Bohnet, N Bouayad-Agha, F Lareau, D Nicklaß (2010) . MARQUIS: Generation of user-tailored Multilingual air-quality bulletins. Applied Artificial Intelligence, 24:10, 914-952
L Banarescu et al (2013). Abstract Meaning Representation for Sembanking. Proceedings of the 7th Linguistic Annotation Workshop & Interoperability with Discourse, pages 178–186
J Herzig et al (2017). Neural Response Generation for Customer Service based on Personality Traits. Proceedings of INLG-2017
M. Keet and L. Khumalo (2014). Basics for a Grammar Engine to Verbalize Logical Theories in isiZulu. In: Rules on the Web. From Theory to Applications – 8th International Symposium, RuleML 2014.
A Gatt and E Krahmer (2018). Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation. Journal of Artificial Intelligence Research.
S Murakami et al (2017). Learning to Generate Market Comments from Stock Prices. Proc of ACL 2017.
A Muscat and A Belz (2017). Learning to Generate Descriptions of Visual Data
Anchored in Spatial Relations. IEEE Computational Intelligence, vol 12.
L Hendricks et al (2016). Generating Visual Explanations. Proc of ECCV 2016.
M Ribeiro, S Singh, C Guestrin (2016). “Why Should I Trust You?” Explaining the Predictions of Any Classifier. Proc of KDD-2016.