Papers by Blaz Bratanic
Stepwise Extractive Summarization and Planning with Structured Transformers (2020.emnlp-main)
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| Challenge: | Existing approaches to extractive summarization use transformers to learn the structure of long inputs. |
| Approach: | They propose encoder-centric stepwise models for extractive summarization using structured transformers – HiBERT and Extended Transformers . |
| Outcome: | The proposed models outperform previous models on CNN/DailyMail extractive summarization and Rotowire table-to-text generation. |
Recognizing Multimodal Entailment (2021.acl-tutorials)
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Cesar Ilharco, Afsaneh Shirazi, Arjun Gopalan, Arsha Nagrani, Blaz Bratanic, Chris Bregler, Christina Funk, Felipe Ferreira, Gabriel Barcik, Gabriel Ilharco, Georg Osang, Jannis Bulian, Jared Frank, Lucas Smaira, Qin Cao, Ricardo Marino, Roma Patel, Thomas Leung, Vaiva Imbrasaite
| Challenge: | This tutorial introduces the multimodal entailment task for detecting semantic alignments . the task requires fine-grained understanding of visual and linguistic semantics questions . |
| Approach: | This tutorial introduces the multimodal entailment task to machine learning . it introduces a dataset for recognizing multimodal alignments . |
| Outcome: | This tutorial introduces the multimodal entailment task . it can be useful for detecting semantic alignments when a single modality alone is not enough . |