Papers by David Etter

3 papers
Grounding Partially-Defined Events in Multimodal Data (2024.findings-emnlp)

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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.

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