Aberdeen NLG/NLP Reading Group: Papers Read

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.

I Paraboni,  A Lan, M de Sant’Ana, and  F Coutinho (2017). Effects of Cognitive Effort on the Resolution of Overspecified Descriptions.  Computational Linguistics 43:451-459 
M Dulan and W Schuler (2015). Parsing Chinese with a Generalized Categorial Grammar. Proceedings of the Grammar Engineering Across Frameworks (GEAF) Workshop.

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.