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13th INLG 2020: Dublin, Ireland
- Brian Davis, Yvette Graham, John D. Kelleher, Yaji Sripada:
Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020, Dublin, Ireland, December 15-18, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-54-5 - Mana Ihori, Ryo Masumura, Naoki Makishima, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi:
Memory Attentive Fusion: External Language Model Integration for Transformer-based Sequence-to-Sequence Model. 1-6 - Wael Abed, Ehud Reiter:
Arabic NLG Language Functions. 7-14 - David Beauchemin, Nicolas Garneau, Eve Gaumond, Pierre-Luc Déziel, Richard Khoury, Luc Lamontagne:
Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations. 15-21 - Michal Bien, Michal Gilski, Martyna Maciejewska, Wojciech Taisner, Dawid Wisniewski, Agnieszka Lawrynowicz:
RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation. 22-28 - Federico Betti, Giorgia Ramponi, Massimo Piccardi:
Controlled Text Generation with Adversarial Learning. 29-34 - Craig Thomson, Zhijie Zhao, Somayajulu Sripada:
Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text. 35-40 - Nikolaos Panagiaris, Emma Hart, Dimitra Gkatzia:
Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training. 41-51 - Wei-Jen Ko, Junyi Jessy Li:
Assessing Discourse Relations in Language Generation from GPT-2. 52-59 - Zdenek Kasner
, Ondrej Dusek:
Data-to-Text Generation with Iterative Text Editing. 60-67 - Chris van der Lee, Chris Emmery, Sander Wubben, Emiel Krahmer:
The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation. 68-79 - Deen Mohammad Abdullah, Yllias Chali:
Towards Generating Query to Perform Query Focused Abstractive Summarization using Pre-trained Model. 80-85 - Zewang Kuanzhuo, Li Lin, Weina Zhao:
SimpleNLG-TI: Adapting SimpleNLG to Tibetan. 86-90 - Mihir Kale, Scott Roy:
Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech. 91-96 - Mihir Kale, Abhinav Rastogi:
Text-to-Text Pre-Training for Data-to-Text Tasks. 97-102 - André Luiz Rosa Teixeira, João Campos, Rossana Cunha, Thiago Castro Ferreira, Adriana S. Pagano, Fábio Gagliardi Cozman:
DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation. 103-106 - Gordon Briggs:
Generating Quantified Referring Expressions through Attention-Driven Incremental Perception. 107-112 - Hongyu Gong, Linfeng Song, Suma Bhat:
Rich Syntactic and Semantic Information Helps Unsupervised Text Style Transfer. 113-119 - Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. 120-130 - Ondrej Dusek
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference. 131-137 - Jason Obeid, Enamul Hoque:
Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model. 138-147 - Yumi Hamazono, Yui Uehara, Hiroshi Noji, Yusuke Miyao, Hiroya Takamura, Ichiro Kobayashi:
Market Comment Generation from Data with Noisy Alignments. 148-157 - Craig Thomson, Ehud Reiter:
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems. 158-168 - David M. Howcroft, Anya Belz, Miruna-Adriana Clinciu, Dimitra Gkatzia, Sadid A Hasan, Saad Mahamood, Simon Mille, Emiel van Miltenburg, Sashank Santhanam, Verena Rieser:
Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions. 169-182 - Anya Belz, Simon Mille, David M. Howcroft:
Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing. 183-194 - Joosung Lee:
Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer. 195-204 - Guanyi Chen, Yinhe Zheng, Yupei Du:
Listener's Social Identity Matters in Personalised Response Generation. 205-215 - Emily Saldanha, Aparna Garimella, Svitlana Volkova:
Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation. 216-226 - Ehud Reiter, Craig Thomson:
Shared Task on Evaluating Accuracy. 227-231 - Anya Belz, Shubham Agarwal, Anastasia Shimorina, Ehud Reiter:
ReproGen: Proposal for a Shared Task on Reproducibility of Human Evaluations in NLG. 232-236 - Shahbaz Syed, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, Martin Potthast:
Task Proposal: Abstractive Snippet Generation for Web Pages. 237-241 - Taichi Kato, Rei Miyata, Satoshi Sato:
BERT-Based Simplification of Japanese Sentence-Ending Predicates in Descriptive Text. 242-251 - Rui Mendes, Hugo Gonçalo Oliveira:
Amplifying the Range of News Stories with Creativity: Methods and their Evaluation, in Portuguese. 252-262 - Guanyi Chen, Kees van Deemter:
Lessons from Computational Modelling of Reference Production in Mandarin and English. 263-272 - Joan Byamugisha:
Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach. 273-282 - Yuheng Du, Shereen Oraby, Vittorio Perera, Minmin Shen, Anjali Narayan-Chen, Tagyoung Chung, Anushree Venkatesh, Dilek Hakkani-Tür:
Schema-Guided Natural Language Generation. 283-295 - Maurice Langner:
OMEGA : A probabilistic approach to referring expression generation in a virtual environment. 296-305 - Symon Jory Stevens-Guille, Aleksandre Maskharashvili, Amy Isard, Xintong Li, Michael White:
Neural NLG for Methodius: From RST Meaning Representations to Texts. 306-315 - Robin Rojowiec, Jana Götze, Philipp Sadler, Henrik Voigt, Sina Zarrieß, David Schlangen:
From "Before" to "After": Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain. 316-326 - Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari:
What BERT Sees: Cross-Modal Transfer for Visual Question Generation. 327-337 - Nikolai Ilinykh, Simon Dobnik:
When an Image Tells a Story: The Role of Visual and Semantic Information for Generating Paragraph Descriptions. 338-348 - Imen Akermi, Johannes Heinecke, Frédéric Herledan:
Tansformer based Natural Language Generation for Question-Answering. 349-359 - Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi:
Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders. 360-373 - Xiangyu Peng, Siyan Li, Spencer Frazier, Mark O. Riedl:
Reducing Non-Normative Text Generation from Language Models. 374-383 - Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani:
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. 384-397 - Emiel van Miltenburg, Wei-Ting Lu, Emiel Krahmer, Albert Gatt, Guanyi Chen, Lin Li, Kees van Deemter:
Gradations of Error Severity in Automatic Image Descriptions. 398-411 - Behnam Hedayatnia, Karthik Gopalakrishnan, Seokhwan Kim, Yang Liu, Mihail Eric, Dilek Hakkani-Tür:
Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems. 412-421
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