Papers by David Etter
Grounding Partially-Defined Events in Multimodal Data (2024.findings-emnlp)
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Kate Sanders, Reno Kriz, David Etter, Hannah Recknor, Alexander Martin, Cameron Carpenter, Jingyang Lin, Benjamin Van Durme
| Challenge: | Evidence suggests prelinguistic infants are capable of recognizing discrete events in real-world stimuli. |
| Approach: | They propose a multimodal formulation for partially-defined events and cast the extraction of these events as a three-stage span retrieval task. |
| Outcome: | The proposed approach can extract events from 14.5 hours of annotated current event videos and 1,168 text documents, containing 22.8K labeled event-centric entities. |
Building OCR/NER Test Collections (2020.lrec-1)
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| Challenge: | Named entity recognition (NER) is the automatic recognition of spans of text as name mentions. |
| Approach: | They propose a method for annotating named entities on transcribed text . the transcriptions are all that is needed to evaluate the performance of OCR . |
| Outcome: | The proposed collection can be used to evaluate OCR and NER on transcribed text without re-annotation . the transcriptions are all that is needed to evaluate the performance of OCR . |
Robust Open-Vocabulary Translation from Visual Text Representations (2021.emnlp-main)
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| Challenge: | MT models have discrete vocabularies and often use subword segmentation to achieve an ‘open vocabulary’. |
| Approach: | They propose to use visual text representations to create continuous vocabularies by processing visually rendered text with sliding windows. |
| Outcome: | The proposed models achieve 25.9 BLEU on character permuted German–English task, compared with traditional models on smaller and larger datasets. |