• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 74 matches

• 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

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