Search Results for author: Michael R. Glass

Found 5 papers, 1 papers with code

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

no code implementations21 Aug 2019 Sarthak Dash, Michael R. Glass, Alfio Gliozzo, Mustafa Canim

In addition to that, the system uses a deep learning approach for knowledge base completion by utilizing the global structure information of the induced KG to further refine the confidence of the newly discovered relations.

Knowledge Base Completion Knowledge Graphs +1

P2L: Predicting Transfer Learning for Images and Semantic Relations

no code implementations20 Aug 2019 Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson

We use this measure, which we call "Predict To Learn" ("P2L"), in the two very different domains of images and semantic relations, where it predicts, from a set of "source" models, the one model most likely to produce effective transfer for training a given "target" model.

Transfer Learning

Language Independent Acquisition of Abbreviations

no code implementations23 Sep 2017 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.

Applying Deep Learning to Answer Selection: A Study and An Open Task

4 code implementations7 Aug 2015 Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bo-Wen Zhou

We apply a general deep learning framework to address the non-factoid question answering task.

Answer Selection

Cannot find the paper you are looking for? You can Submit a new open access paper.