Affective Decoding for Empathetic Response Generation
Chengkun Zeng, Guanyi Chen, Chenghua Lin, Ruizhe Li and Zhi gang Chen
Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG
Juraj Juraska and Marilyn Walker
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset
Dmytro Kalpakchi and Johan Boye
Biomedical Data-to-Text Generation via Fine-Tuning Transformers
Ruslan Yermakov, Nicholas Drago and Angelo Ziletti
Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems
Carl Strathearn and Dimitra Gkatzia
Contextualizing Variation in Text Style Transfer Datasets
Stephanie Schoch, Wanyu Du and Yangfeng Ji
Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer (T5)
Kim Cheng SHEANG and Horacio Saggion
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning
Sina Zarrieß, Hendrik Buschmeier, Ting Han and Simeon Schüz
Enriching the E2E dataset
Thiago Castro Ferreira, Helena Vaz, Brian Davis and Adriana Pagano
Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models
Chloe Ciora, Nur Iren and Malihe Alikhani
Explaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations
Sameen Maruf, Ingrid Zukerman, Ehud Reiter and Gholamreza Haffari
Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence
Madeeswaran Kannan, Haemanth Santhi Ponnusamy, Kordula De Kuthy, Lukas Stein and Detmar Meurers
Exploring Structural Encoding for Data-to-Text Generation
Joy Mahapatra and Utpal Garain
Formulating Sentence Ordering as the Asymmetric Travelling Salesman Problem
Vishal Keswani and Harsh Jhamtani
Generating Diverse Descriptions from Semantic Graphs
Jiuzhou Han, Daniel Beck and Trevor Cohn
Generating Racing Game Commentary from Vision, Language, and Structured Data
Tatsuya Ishigaki, Goran Topic, Yumi Hamazono, Hiroshi Noji, Ichiro Kobayashi, Yusuke Miyao and Hiroya Takamura
Goal-Oriented Script Construction
Qing Lyu, Li Zhang and Chris Callison-Burch
GraphPlan: Story Generation by Planning with Event Graph
Hong Chen, Raphael Shu, Hiroya Takamura and Hideki Nakayama
HI-CMLM: Improve CMLM with Hybrid Decoder Input
Minghan Wang, GUO Jiaxin, Yuxia Wang, Yimeng Chen, Su Chang, Daimeng Wei, Min Zhang, Shimin Tao and Hao Yang
Multi-Sentence Knowledge Selection in Open-Domain Dialogue
Mihail Eric, Nicole Chartier, Behnam Hedayatnia, Karthik Gopalakrishnan, Pankaj Rajan, Yang Liu and Dilek Hakkani-Tur
Neural Methodius Revisited: Do Discourse Relations Help with Pre-Trained Models Too?
Aleksandre Maskharashvili, Symon Stevens-Guille, Xintong Li and Michael White
Predicting Antonyms in Context using BERT
Ayana Niwa, Keisuke Nishiguchi and Naoaki Okazaki
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation
Steven Y. Feng, Jessica Huynh, Chaitanya Prasad Narisetty, Eduard Hovy and Varun Gangal
Self-Training for Compositional Neural NLG in Task-Oriented Dialogue
Xintong Li, Symon Stevens-Guille, Aleksandre Maskharashvili and Michael White
Single Example Can Improve Zero-Shot Data Generation
Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova and Irina Piontkovskaya
Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension
Siamak Shakeri, Noah Constant, Mihir Kale and Linting Xue
Underreporting of errors in NLG output, and what to do about it
Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondřej Dušek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson and Luou Wen
Using BERT for choosing classifiers in Mandarin
Jani J. Järnfors, Guanyi Chen, Kees van Deemter and Rint Sybesma
What can Neural Referential Form Selectors Learn?
Guanyi Chen, Fahime Same and Kees van Deemter
Generation Challenges papers at INLG 2021 New challenges
A Proposal of Feedback Comment Generation for Language Learners
Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa and Masato Mita
DialogSum Challenge: Summarizing Real-Life Scenario Dialogues
Yulong Chen, Yang Liu and Yue Zhang
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text
Vivek Srivastava and Mayank Singh
Task Proposal: Training Instance Selection for Few-Shot Neural Text Generation
Ernie Chang, Xiaoyu Shen, Alex Marin and Vera Demberg
Evaluating accuracy challenge
Automatic Verification of Data Summaries
Rayhane Rezgui, Mohammed Saeed and Paolo Papotti
Generation Challenges: Results of the Accuracy Evaluation Shared Task
Craig Thomson and Ehud Reiter
Grounding NBA Matchup Summaries
Tadashi Nomoto
Shared Task in Evaluating Accuracy: Leveraging Pre-Annotations in the Validation Process
Nicolas Garneau and Luc Lamontagne
Text-in-Context: Token-Level Error Detection for Table-to-Text Generation
Zdeněk Kasner, Simon Mille and Ondřej Dušek
ReproGen challenge
The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results
Anya Belz, Shubham Agarwal, Ehud Reiter and Anastasia Shimorina
Reproducing a comparison of hedged and non-hedged NLG texts
Saad Mahamood
Another PASS - A Reproduction Study of the Human Evaluation of a Football Report Generation System
Simon Mille, Thiago Castro Ferreira, Anya Belz and Brian Davis
A Reproduction Study of an Annotation-based Human Evaluation of MT Outputs
Maja Popović and Anya Belz
TUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-To-Text and Concept-To-Text Generation
Christian Richter, Yanran Chen and Steffen Eger