- 2019
- Jacopo Amidei, Paul Piwek, Alistair Willis:
Agreement is overrated: A plea for correlation to assess human evaluation reliability. INLG 2019: 344-354 - Jacopo Amidei, Paul Piwek, Alistair Willis:
The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations. INLG 2019: 397-402 - Kasumi Aoki, Akira Miyazawa, Tatsuya Ishigaki, Tatsuya Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao:
Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels. INLG 2019: 323-332 - Roxanne El Baff
, Henning Wachsmuth, Khalid Al Khatib, Manfred Stede, Benno Stein:
Computational Argumentation Synthesis as a Language Modeling Task. INLG 2019: 54-64 - Daniel Braun, Kira Klimt, Daniela Schneider, Florian Matthes:
SimpleNLG-DE: Adapting SimpleNLG 4 to German. INLG 2019: 415-420 - Gordon Briggs, Hillary Harner:
Generating Quantified Referring Expressions with Perceptual Cost Pruning. INLG 2019: 11-18 - Erion Çano, Ondrej Bojar:
Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study. INLG 2019: 229-239 - Alessandra Cervone, Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Anu Venkatesh, Dilek Hakkani-Tür, Raefer Gabriel:
Natural Language Generation at Scale: A Case Study for Open Domain Question Answering. INLG 2019: 453-462 - Ying-Hong Chan, Yao-Chung Fan:
BERT for Question Generation. INLG 2019: 173-177 - Guanyi Chen, Kees van Deemter, Chenghua Lin:
Generating Quantified Descriptions of Abstract Visual Scenes. INLG 2019: 529-539 - Guanyi Chen, Kees van Deemter, Silvia Pagliaro, Louk Smalbil, Chenghua Lin:
QTUNA: A Corpus for Understanding How Speakers Use Quantification. INLG 2019: 124-129 - Guanyi Chen, Jin-Ge Yao:
A Closer Look at Recent Results of Verb Selection for Data-to-Text NLG. INLG 2019: 158-163 - Hyungtak Choi, Lohith Ravuru, Tomasz Dryjanski, Sunghan Rye, Donghyun Lee, Hojung Lee, Inchul Hwang:
VAE-PGN based Abstractive Model in Multi-stage Architecture for Text Summarization. INLG 2019: 510-515 - Émilie Colin, Claire Gardent:
Generating Text from Anonymised Structures. INLG 2019: 112-117 - Jan Milan Deriu, Mark Cieliebak:
Towards a Metric for Automated Conversational Dialogue System Evaluation and Improvement. INLG 2019: 432-437 - Ondrej Dusek, David M. Howcroft, Verena Rieser:
Semantic Noise Matters for Neural Natural Language Generation. INLG 2019: 421-426 - Ondrej Dusek, Filip Jurcícek:
Neural Generation for Czech: Data and Baselines. INLG 2019: 563-574 - Ondrej Dusek, Karin Sevegnani, Ioannis Konstas, Verena Rieser:
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking). INLG 2019: 369-376 - Yao Fu, Hao Zhou, Jiaze Chen, Lei Li:
Rethinking Text Attribute Transfer: A Lexical Analysis. INLG 2019: 24-33 - Ygor Gallina, Florian Boudin, Béatrice Daille:
KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents. INLG 2019: 130-135 - Sebastian Gehrmann, Zachary M. Ziegler, Alexander M. Rush:
Generating Abstractive Summaries with Finetuned Language Models. INLG 2019: 516-522 - Katy Ilonka Gero, Chris Kedzie, Jonathan Reeve, Lydia B. Chilton:
Low Level Linguistic Controls for Style Transfer and Content Preservation. INLG 2019: 208-218 - Mehdi Ghanimifard, Simon Dobnik:
What goes into a word: generating image descriptions with top-down spatial knowledge. INLG 2019: 540-551 - Mika Hämäläinen, Khalid Al-Najjar:
Let's FACE it. Finnish Poetry Generation with Aesthetics and Framing. INLG 2019: 290-300 - Ting Han, Sina Zarrieß:
Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and Drawings. INLG 2019: 136-140 - Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura:
A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation. INLG 2019: 333-343 - Saar Hommes, Chris van der Lee, Felix J. Clouth, Jeroen K. Vermunt, Xander Verbeek, Emiel Krahmer:
A Personalized Data-to-Text Support Tool for Cancer Patients. INLG 2019: 443-452 - Nikolai Ilinykh, Sina Zarrieß, David Schlangen:
Tell Me More: A Dataset of Visual Scene Description Sequences. INLG 2019: 152-157 - Takahiko Ito, Shintaro Inuzuka, Yoshiaki Yamada, Jun Harashima:
Real World Voice Assistant System for Cooking. INLG 2019: 508-509 - Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui:
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. INLG 2019: 40-53
