We present Variational Bayesian Network (VBN) - a novel Bayesian entity
...
Tasks involving text generation based on multiple input texts, such as
m...
The integration of multi-document pre-training objectives into language
...
Data contamination has become especially prevalent and challenging with ...
The task of Cross-document Coreference Resolution has been traditionally...
Recently, there has been growing interest in the ability of Transformer-...
We present MetricBERT, a BERT-based model that learns to embed text unde...
Several recent works have suggested to represent semantic relations with...
The opaque nature and unexplained behavior of transformer-based language...
Transformer-based language models significantly advanced the state-of-th...
Transformer-based language models (LMs) are at the core of modern NLP, b...
Long-range transformer models have achieved encouraging results on
long-...
Text clustering methods were traditionally incorporated into multi-docum...
A major challenge in collaborative filtering methods is how to produce
r...
We introduce iFacetSum, a web application for exploring topical document...
We present Gradient Activation Maps (GAM) - a machinery for explaining
p...
We introduce a new approach for smoothing and improving the quality of w...
We present a novel model for the problem of ranking a collection of docu...
Most natural languages have a predominant or fixed word order. For examp...
We introduce a new pretraining approach for language models that are gea...
Two main challenges in recommender systems are modeling users with
heter...
Language models that utilize extensive self-supervised pre-training from...
We study the potential synergy between two different NLP tasks, both
con...
This paper presents the Bayesian Hierarchical Words Representation (BHWR...
Factorization methods for recommender systems tend to represent users as...
Error correction codes are integral part of communication applications,
...
Attention based models have become the new state-of-the-art in natural
l...
A new approach for blind channel equalization and decoding, using variat...
A new maximum likelihood estimation approach for blind channel equalizat...
Grammar induction is the task of learning a grammar from a set of exampl...