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Tell Me More: A Dataset of Visual Scene Description Sequences.

, , and . INLG, page 152-157. Association for Computational Linguistics, (2019)

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Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and Drawings., and . INLG, page 136-140. Association for Computational Linguistics, (2019)Tell Me More: A Dataset of Visual Scene Description Sequences., , and . INLG, page 152-157. Association for Computational Linguistics, (2019)Method of Moments for Topic Models with Mixed Discrete and Continuous Features., , , , , , and . IJCAI, page 2418-2424. ijcai.org, (2021)Exploring Text Recombination for Automatic Narrative Level Detection., , , , and . LREC, page 3346-3353. European Language Resources Association, (2022)Indirect Politeness of Disconfirming Answers to Humans and Robots., , , and . RO-MAN, page 1808-1815. IEEE, (2023)Exploiting Translational Correspondences for Pattern-Independent MWE Identification., and . MWE@IJCNLP, page 23-30. Association for Computational Linguistics, (2009)Leveraging the Wikipedia Graph for Evaluating Word Embeddings., , , and . IJCAI, page 4136-4142. ijcai.org, (2022)Plots Made Quickly: An Efficient Approach for Generating Visualizations from Natural Language Queries., , and . LREC/COLING, page 12787-12793. ELRA and ICCL, (2024)The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering Systems., , , , , , and . CoRR, (2024)Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation., , and . SIGDIAL, page 411-422. Association for Computational Linguistics, (2021)