We are pleased to announce that the following papers have been accepted for INLG 2018. A more detailed program will be announced shortly.
Long papers
- A Master-Apprentice Approach to Automatic Creation of Cultural Satire — Khalid Alnajjar and Mika Hämäläinen
- Designing and testing the messages produced by a virtual dietitian — Luca Anselma and Alessandro Mazzei
- Evaluation methodologies in Automatic Question Generation 2013-2018 — Jacopo Amidei, Paul Piwek and Alistair Willis
- SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin — Guanyi Chen, Kees van Deemter and Chenghua Lin
- Learning to Flip the Bias of News Headlines — Wei-Fan Chen, Henning Wachsmuth, Khalid Al Khatib and Benno Stein
- Syntactic Manipulation for Generating more Diverse and Interesting Texts — Jan Milan Deriu and Mark Cieliebak
- Stylistically User-Specific Generation — Abdurrisyad Fikri, Hiroya Takamura and Manabu Okumura
- LSTM Hypertagging — Reid Fu and Michael White
- Specificity measures and reference — Albert Gatt, Nicolás Marín, Gustavo Rivas-Gervilla and Daniél Sánchez
- Explainable Autonomy: A Study of Explanation Styles for Building Clear Mental Models through a Multimodal Interface — Francisco Garcia, David A Robb, Pedro Patron, Atanas Ivaylov Laskov and Helen Hastie
- End-to-End Content and Plan Selection for Data-to-Text Generation — Sebastian Gehrmann, Falcon Dai, Henry Elder and Alexander Rush
- Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts — Isabel Groves, Ye Tian and Ioannis Douratsos
- Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features — Vrindavan Harrison and Marilyn Walker
- Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity — Glorianna Jagfeld, Sabrina Beer and Ngoc Thang Vu
- Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs — Juraj Juraska and Marilyn Walker
- Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methods — Chris van der Lee, Emiel Krahmer and Sander Wubben
- Statistical NLG for Generating the Content and Form of Referring Expressions — Xiao Li, Kees van Deemter and Chenghua Lin
- Content Aware Source Code Change Description Generation — Pablo Loyola, Edison Marrese-Taylor, Jorge Balazs, Yutaka Matsuo and Fumiko Satoh
- Adapting Descriptions of People to the Point of View of a Moving Observer — Gonzalo Méndez, Raquel Hervas, Pablo Gervás, Ricardo de la Rosa and Daniel Ruiz
- Underspecified Universal Dependency Structures as Inputs for Multilingual Surface Realisation — Simon Mille, Anja Belz and Leo Wanner
- BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking — Axel Ngonga, Michael Röder, Diego Moussallem, Ricardo Usbeck and René Speck
- Automatically Generating Questions about Novel Metaphors in Literature — Natalie Parde and Rodney Nielsen
- Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation — Raheel Qader, Khoder Jneid, François Portet and Cyril Labbe
- Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring? — Lena Reed, Shereen Oraby and Marilyn Walke
- Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem — Alexander Shvets, Simon Mille and Leo Wanner
- Handling Rare Items in Data-to-Text Generation — Anastasia Shimorina and Claire Gardent
- Neural Transition-based Syntactic Linearization — Linfeng Song, Yue Zhang and Daniel Gildea
- Generating E-Commerce Product Titles and Predicting their Quality — José G. C. de Souza, Michael Kozielski, Prashant Mathur, Ernie Chang, Marco Guerini, Matteo Negri, Marco Turchi and Evgeny Matusov
- Comprehension Driven Document Planning in Natural Language Generation Systems — Craig Thomson, Ehud Reiter and Somayajulu Sripada
- Narrating a Knowledge Base — Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji and Kevin Knight
- Decoding Strategies for Neural Referring Expression Generation — Sina Zarrieß and David Schlangen
- Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study — Jianmin Zhang, Jiwei Tan and Xiaojun Wan
Short papers
- Char2char Generation with Reranking for the E2E NLG Challenge — Shubham Agarwal, Marc Dymetman and Eric Gaussier
- Improving Context Modelling in Multimodal Dialogue Generation — Shubham Agarwal, Ondřej Dušek, Ioannis Konstas and Verena Rieser
- Generating Market Comments Referring to External Resources — Tatsuya Aoki, Akira Miyazawa, Kasumi Aoki, Keiichi Goshima, Tatsuya Ishigaki, Ichiro Kobayashi, Hiroya Takamura and Yusuke Miyao
- SpatialVOC2K: A Multilingual Dataset of Images with Annotations and Features for Spatial Relations between Objects — Anja Belz and Adrian Muscat
- Adding the Third Dimension to Spatial Relation Detection in 2D Images — Brandon Birmingham, Adrian Muscat and Anja Belz
- Automatic Opinion Question Generation — Yllias Chali and Tina Baghaee
- Modelling Pro-drop with the Rational Speech Acts Model — Guanyi Chen, Kees van Deemter and Chenghua Lin
- Self-Learning Architecture for Natural Language Generation — Hyungtak Choi, Siddarth KM, Haehun Yang, Heesik Jeon, Inchul Hwang and Jihie Kim
- Final Report of the E2E NLG Challenge — Ondřej Dušek, Jekaterina Novikova and Verena Rieser
- E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language — Henry Elder, Sebastian Gehrmann, Alexander O’Connor and Qun Liu
- Enriching the WebNLG corpus — Thiago Castro Ferreira, Diego Moussallem, Emiel Krahmer and Sander Wubben
- Towards making NLG a voice for interpretable Machine Learning — James Forrest, Somayajulu Sripada, Wei Pang and George Coghill
- Adapting SimpleNLG to Galician language — Andrea Cascallar Fuentes, Alejandro Ramos Soto and Alberto Bugarín Diz
- Template-based multilingual football reports generation using Wikidata as a knowledge base — Lorenzo Gatti, Chris van der Lee and Mariët Theune
- Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning — David M. Howcroft, Dietrich Klakow and Vera Demberg
- The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description — Nikolai Ilinykh, Sina Zarrieß and David Schlangen
- Going Dutch: Creating SimpleNLG-NL — Ruud de Jong and Mariët Theune
- Generating Summaries of Sets of Consumer Products: Learning from Experiments — Kittipitch Kuptavanich, Ehud Reiter, Kees van Deemter and Advaith Siddharthan
- Neural sentence generation from formal semantics — Kana Manome, Masashi Yoshikawa, Hitomi Yanaka, Pascual Martínez-Gómez, Koji Mineshima and Daisuke Bekki
- Deep Graph Convolutional Encoders for Structured Data to Text Generation — Diego Marcheggiani and Laura Perez-Beltrachini
- Talking about other people: an endless range of possibilities — Emiel van Miltenburg, Desmond Elliott and Piek Vossen
- E2E NLG Challenge: Neural Models vs. Templates — Yevgeniy Puzikov and Iryna Gurevych
- The E2E NLG Challenge: A Tale of Two Systems — Frank Schilder, Charese Smiley, Elnaz Davoodi and Dezhao Song
- Meteorologists and Students: A resource for language grounding of geographical descriptors — Alejandro Ramos Soto, Ehud Reiter, Kees van Deemter, Jose Alonso and Albert Gatt
- Cyclegen: Cyclic consistency based product review generator from attributes — Vasu Sharma, Harsh Sharma, Ankita Bishnu and Labhesh Patel
- Automatic Evaluation of Neural Personality-based Chatbots — Yujie Xing and Raquel Fernández
Demo presentations
- Interactive health insight miner: an adaptive, semantic-based approach —Isabel Funke, Rim Helaoui and Aki Harma
- Poem Machine – a Co-creative NLG Web Application for Poem Writing — Mika Hämäläinen
- Japanese Advertising Slogan Generator using Case Frame and Word Vector — Kango Iwama and Yoshinobu Kano
- Multi-Language Surface Realisation as REST API based NLG Microservice — Andreas Madsack, Johanna Heininger, Nyamsuren Davaasambuu, Vitaliia Voronik, Michael Käufl and Robert Weißgraeber