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ORCID14th INLG 2021: Aberdeen, Scotland, UK
- Anya Belz, Angela Fan, Ehud Reiter, Yaji Sripada:
Proceedings of the 14th International Conference on Natural Language Generation, INLG 2021, Aberdeen, Scotland, UK, 20-24 September, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-51-0 - Frontmatter.
- Jiuzhou Han, Daniel Beck, Trevor Cohn:
Generating Diverse Descriptions from Semantic Graphs. 1-11 - Aleksandre Maskharashvili, Symon Jory Stevens-Guille, Xintong Li, Michael White:
Neural Methodius Revisited: Do Discourse Relations Help with Pre-Trained Models Too? 12-23 - Madeeswaran Kannan, Haemanth Santhi Ponnusamy, Kordula De Kuthy
, Lukas Stein, Detmar Meurers:
Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence. 24-34 - Siamak Shakeri, Noah Constant, Mihir Kale, Linting Xue:
Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension. 35-45 - Carl Strathearn, Dimitra Gkatzia:
Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems. 46-47 - Ayana Niwa, Keisuke Nishiguchi, Naoaki Okazaki:
Predicting Antonyms in Context using BERT. 48-54 - Chloe Ciora, Nur Iren, Malihe Alikhani:
Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models. 55-63 - Anant Khandelwal:
WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue. 64-75 - Mihail Eric, Nicole Chartier, Behnam Hedayatnia, Karthik Gopalakrishnan, Pankaj Rajan, Yang Liu, Dilek Hakkani-Tur:
Multi-Sentence Knowledge Selection in Open-Domain Dialogue. 76-86 - Xintong Li, Symon Jory Stevens-Guille, Aleksandre Maskharashvili, Michael White:
Self-Training for Compositional Neural NLG in Task-Oriented Dialogue. 87-102 - Tatsuya Ishigaki, Goran Topic, Yumi Hamazono, Hiroshi Noji, Ichiro Kobayashi, Yusuke Miyao, Hiroya Takamura:
Generating Racing Game Commentary from Vision, Language, and Structured Data. 103-113 - Sameen Maruf, Ingrid Zukerman, Ehud Reiter, Gholamreza Haffari:
Explaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations. 114-127 - Vishal Keswani, Harsh Jhamtani:
Formulating Neural Sentence Ordering as the Asymmetric Traveling Salesman Problem. 128-139 - Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondrej Dusek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson, Luou Wen:
Underreporting of errors in NLG output, and what to do about it. 140-153 - Guanyi Chen, Fahime Same, Kees van Deemter:
What can Neural Referential Form Selectors Learn? 154-166 - Minghan Wang, Jiaxin Guo, Yuxia Wang, Yimeng Chen, Chang Su, Daimeng Wei, Min Zhang, Shimin Tao, Hao Yang:
HI-CMLM: Improve CMLM with Hybrid Decoder Input. 167-171 - Jani Järnfors, Guanyi Chen, Kees van Deemter, Rint Sybesma:
Using BERT for choosing classifiers in Mandarin. 172-176 - Thiago Castro Ferreira, Helena Vaz, Brian Davis, Adriana S. Pagano:
Enriching the E2E dataset. 177-183 - Qing Lyu, Li Zhang, Chris Callison-Burch:
Goal-Oriented Script Construction. 184-200 - Pavel Burnyshev, Valentin Malykh, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya:
Single Example Can Improve Zero-Shot Data Generation. 201-211 - Steven Y. Feng, Jessica Huynh, Chaitanya Prasad Narisetty, Eduard H. Hovy, Varun Gangal:
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation. 212-225 - Stephanie Schoch, Wanyu Du, Yangfeng Ji:
Contextualizing Variation in Text Style Transfer Datasets. 226-239 - Craig Thomson, Ehud Reiter:
Generation Challenges: Results of the Accuracy Evaluation Shared Task. 240-248 - Anya Belz, Anastasia Shimorina, Shubham Agarwal, Ehud Reiter:
The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results. 249-258 - Zdenek Kasner, Simon Mille, Ondrej Dusek:
Text-in-Context: Token-Level Error Detection for Table-to-Text Generation. 259-265 - Nicolas Garneau, Luc Lamontagne:
Shared Task in Evaluating Accuracy: Leveraging Pre-Annotations in the Validation Process. 266-270 - Rayhane Rezgui, Mohammed Saeed, Paolo Papotti:
Automatic Verification of Data Summaries. 271-275 - Tadashi Nomoto:
Grounding NBA Matchup Summaries. 276-281 - Saad Mahamood:
Reproducing a Comparison of Hedged and Non-hedged NLG Texts. 282-285 - Simon Mille, Thiago Castro Ferreira, Anya Belz, Brian Davis:
Another PASS: A Reproduction Study of the Human Evaluation of a Football Report Generation System. 286-292 - Maja Popovic, Anya Belz:
A Reproduction Study of an Annotation-based Human Evaluation of MT Outputs. 293-300 - Christian Richter, Yanran Chen, Steffen Eger:
TUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-to-Text and Concept-to-Text Generation. 301-307 - Yulong Chen, Yang Liu, Yue Zhang:
DialogSum Challenge: Summarizing Real-Life Scenario Dialogues. 308-313 - Vivek Srivastava, Mayank Singh:
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text. 314-319 - Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita, Artem Chernodub, Olena Nahorna:
Shared Task on Feedback Comment Generation for Language Learners. 320-324 - Ernie Chang, Xiaoyu Shen, Alex Marin, Vera Demberg:
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation. 325-330 - Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhi Chen:
Affective Decoding for Empathetic Response Generation. 331-340 - Kim Cheng Sheang, Horacio Saggion:
Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer. 341-352 - Mauajama Firdaus, Umang Jain, Asif Ekbal, Pushpak Bhattacharyya:
SEPRG: Sentiment aware Emotion controlled Personalized Response Generation. 353-363 - Ruslan Yermakov, Nicholas Drago, Angelo Ziletti:
Biomedical Data-to-Text Generation via Fine-Tuning Transformers. 364-370 - Sina Zarrieß, Hendrik Buschmeier, Ting Han, Simeon Schüz:
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning. 371-376 - Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama:
GraphPlan: Story Generation by Planning with Event Graph. 377-386 - Dmytro Kalpakchi, Johan Boye:
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset. 387-403 - Joy Mahapatra, Utpal Garain:
Exploring Structural Encoding for Data-to-Text Generation. 404-415 - Juraj Juraska, Marilyn A. Walker:
Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG. 416-431
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