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Found 12 papers, 3 papers with code
FOIL it! Find One mismatch between Image and Language caption
In this paper, we aim to understand whether current language and vision (LaVi) models truly grasp the interaction between the two modalities.
Ask No More: Deciding when to guess in referential visual dialogue
We make initial steps towards this general goal by augmenting a task-oriented visual dialogue model with a decision-making component that decides whether to ask a follow-up question to identify a target referent in an image, or to stop the conversation to make a guess.
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat
We compare our approach to an alternative system which extends the baseline with reinforcement learning.
Evaluating the Representational Hub of Language and Vision Models
The multimodal models used in the emerging field at the intersection of computational linguistics and computer vision implement the bottom-up processing of the `Hub and Spoke' architecture proposed in cognitive science to represent how the brain processes and combines multi-sensory inputs.
Neural Machine Translation for Low-Resource Languages: A Survey
Neural Machine Translation (NMT) has seen a tremendous spurt of growth in less than ten years, and has already entered a mature phase.
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model
Moderation of reader comments is a significant problem for online news platforms.
CoRAL: a Context-aware Croatian Abusive Language Dataset
In light of unprecedented increases in the popularity of the internet and social media, comment moderation has never been a more relevant task.
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection
We present a system for zero-shot cross-lingual offensive language and hate speech classification.
EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions
This paper presents tools and data sources collected and released by the EMBEDDIA project, supported by the European Union’s Horizon 2020 research and innovation program.
CWID-hi: A Dataset for Complex Word Identification in Hindi Text
Our dataset and analysis will help simplify Hindi text depending on the user’s language understanding.
