116 citations · 371 across the 28 of their papers we have counts for
6 papers · 1 filter
Detecting Euphemisms with Literal Descriptions and Visual Imagery
İlker Kesen, Aykut Erdem, Erkut Erdem +1
This paper describes our two-stage system for the Euphemism Detection shared task hosted by the 3rd Workshop on Figurative Language Processing in conjunction with EMNLP 2022. Euphe…
Cross-lingual Visual Pre-training for Multimodal Machine Translation
Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac +4
Pre-trained language models have been shown to improve performance in many natural language tasks substantially. Although the early focus of such models was single language pre-tra…
Procedural Reasoning Networks for Understanding Multimodal Procedures
Mustafa Sercan Amac, Semih Yagcioglu, Aykut Erdem +1
This paper addresses the problem of comprehending procedural commonsense knowledge. This is a challenging task as it requires identifying key entities, keeping track of their state…
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes
Semih Yagcioglu, Aykut Erdem, Erkut Erdem +1
Understanding and reasoning about cooking recipes is a fruitful research direction towards enabling machines to interpret procedural text. In this work, we introduce RecipeQA, a da…
Re-evaluating Automatic Metrics for Image Captioning
Mert Kilickaya, Aykut Erdem, Nazli Ikizler-Cinbis +1
The task of generating natural language descriptions from images has received a lot of attention in recent years. Consequently, it is becoming increasingly important to evaluate su…
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Raffaella Bernardi, Ruket Cakici, Desmond Elliott +6
Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language pr…