Cross-lingual summarization consists of generating a summary in one lang...
Most recent coreference resolution systems use search algorithms over
po...
The paper presents an approach to semantic grounding of language models ...
The availability of large, high-quality datasets has been one of the mai...
We report on novel investigations into training models that make sentenc...
Recent trends towards training ever-larger language models have substant...
We review the EfficientQA competition from NeurIPS 2020. The competition...
A question answering system that in addition to providing an answer prov...
Recent progress in the task of Grammatical Error Correction (GEC) has be...
Transformers-based models, such as BERT, have been one of the most succe...
Transformer-based models have pushed the state of the art in many natura...
To advance models of multimodal context, we introduce a simple yet power...
We introduce a novel method of generating synthetic question answering
c...
Grammatical Error Correction (GEC) has been recently modeled using the
s...
This technical note describes a new baseline for the Natural Questions. ...
We describe a baseline dependency parsing system for the CoNLL2017 Share...
In this work, we present a compact, modular framework for constructing n...
We introduce a globally normalized transition-based neural network model...
We present structured perceptron training for neural network transition-...