Sentence Retrieval
26 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Sentence Retrieval
Most implemented papers
Stacked Cross Attention for Image-Text Matching
Prior work either simply aggregates the similarity of all possible pairs of regions and words without attending differentially to more and less important words or regions, or uses a multi-step attentional process to capture limited number of semantic alignments which is less interpretable.
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
However, these broad-coverage benchmarks have been mostly limited to English, and despite an increasing interest in multilingual models, a benchmark that enables the comprehensive evaluation of such methods on a diverse range of languages and tasks is still missing.
Multimodal Convolutional Neural Networks for Matching Image and Sentence
In this paper, we propose multimodal convolutional neural networks (m-CNNs) for matching image and sentence.
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
The Flickr30k dataset has become a standard benchmark for sentence-based image description.
Robust Cross-lingual Embeddings from Parallel Sentences
Recent advances in cross-lingual word embeddings have primarily relied on mapping-based methods, which project pretrained word embeddings from different languages into a shared space through a linear transformation.
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs
ColexNet's nodes are concepts and its edges are colexifications.
Image Captioning with Deep Bidirectional LSTMs
This work presents an end-to-end trainable deep bidirectional LSTM (Long-Short Term Memory) model for image captioning.
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
Image-language matching tasks have recently attracted a lot of attention in the computer vision field.
How Language-Neutral is Multilingual BERT?
jlibovicky/assess-multilingual-bert
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Multilingual BERT (mBERT) provides sentence representations for 104 languages, which are useful for many multi-lingual tasks.
Cross-lingual Retrieval for Iterative Self-Supervised Training
pytorch/fairseq
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NeurIPS 2020
Recent studies have demonstrated the cross-lingual alignment ability of multilingual pretrained language models.
