research
∙
10/06/2021
Efficient Multi-Modal Embeddings from Structured Data
Multi-modal word semantics aims to enhance embeddings with perceptual in...
share
research
∙
09/09/2021
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling
Human conversations naturally evolve around different topics and fluentl...
research
∙
11/15/2020
Morphologically Aware Word-Level Translation
We propose a novel morphologically aware probability model for bilingual...
research
∙
12/19/2019
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity
Image captioning as a multimodal task has drawn much interest in recent ...
research
∙
09/06/2019
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction
Human translators routinely have to translate rare inflections of words ...
research
∙
08/17/2019
What is needed for simple spatial language capabilities in VQA?
Visual question answering (VQA) comprises a variety of language capabili...
research
∙
12/31/2018
The meaning of "most" for visual question answering models
The correct interpretation of quantifier statements in the context of a ...
research
∙
09/09/2018
How clever is the FiLM model, and how clever can it be?
The FiLM model achieves close-to-perfect performance on the diagnostic C...
research
∙
09/01/2017
Semantic Composition via Probabilistic Model Theory
Semantic composition remains an open problem for vector space models of ...
research
∙
09/01/2017
Variational Inference for Logical Inference
Functional Distributional Semantics is a framework that aims to learn, f...
research
∙
06/05/2017
Deep learning evaluation using deep linguistic processing
We discuss problems with the standard approaches to evaluation for tasks...
research
∙
04/14/2017
ShapeWorld - A new test methodology for multimodal language understanding
We introduce a novel framework for evaluating multimodal deep learning m...
research
∙
06/26/2016