activity
20172020
most citedLanguage Independent Acquisition of Abbreviations

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

eess.IV2020

Covering the News with (AI) Style

Michele Merler, Cicero Nogueira dos Santos, Mauro Martino +2

We introduce a multi-modal discriminative and generative frame-work capable of assisting humans in producing visual content re-lated to a given theme, starting from a collection of…

cs.CL2019

Frustratingly Easy Natural Question Answering

Lin Pan, Rishav Chakravarti, Anthony Ferritto +5

Existing literature on Question Answering (QA) mostly focuses on algorithmic novelty, data augmentation, or increasingly large pre-trained language models like XLNet and RoBERTa. A…

cs.CL2019

Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation

Sarthak Dash, Michael R. Glass, Alfio Gliozzo +1

In this paper, we propose a fully automated system to extend knowledge graphs using external information from web-scale corpora. The designed system leverages a deep learning based…

cs.CL2019

Span Selection Pre-training for Question Answering

Michael Glass, Alfio Gliozzo, Rishav Chakravarti +5

BERT (Bidirectional Encoder Representations from Transformers) and related pre-trained Transformers have provided large gains across many language understanding tasks, achieving a…

cs.LG2019

Distributional Negative Sampling for Knowledge Base Completion

Sarthak Dash, Alfio Gliozzo

State-of-the-art approaches for Knowledge Base Completion (KBC) exploit deep neural networks trained with both false and true assertions: positive assertions are explicitly taken f…

cs.CL20171 cited

Language Independent Acquisition of Abbreviations

Michael R. Glass, Md Faisal Mahbub Chowdhury, Alfio M. Gliozzo

This paper addresses automatic extraction of abbreviations (encompassing acronyms and initialisms) and corresponding long-form expansions from plain unstructured text. We create an…