2020
DOI: 10.1007/s11063-020-10314-8
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Multimodal Machine Learning for Natural Language Processing: Disambiguating Prepositional Phrase Attachments with Images

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Cited by 7 publications
(1 citation statement)
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“…This ambiguity, however, can be solved by evaluating the semantic relation between the process and the things (Maghsoud, 2018). Nevertheless, when multimodal representation is employed, for exam-ple by using images, ambiguous prepositional phrases do not matter (Delecraz et al, 2020). Based on this previous finding, it can be further interpreted that without the accompaniment of images, prepositional phrases representing circumstances must be patterned correctly and specifically so that the readers can build their correct imagination suitable to the writer's intention.…”
Section: Discussionmentioning
confidence: 99%
“…This ambiguity, however, can be solved by evaluating the semantic relation between the process and the things (Maghsoud, 2018). Nevertheless, when multimodal representation is employed, for exam-ple by using images, ambiguous prepositional phrases do not matter (Delecraz et al, 2020). Based on this previous finding, it can be further interpreted that without the accompaniment of images, prepositional phrases representing circumstances must be patterned correctly and specifically so that the readers can build their correct imagination suitable to the writer's intention.…”
Section: Discussionmentioning
confidence: 99%