Automatic Disambiguation of Homographic Heterophone Pairs Containing Open and Closed Mid Vowels

Desambigua\cc\~ao de Hom\'ografos-Heter\'ofonos por Aprendizado de M\'aquina em Portugu\^es Brasileiro (A Machine Learning Approach for Homographic Heterophone Disambiguation in Brazilian Portuguese)

BuzzSaw at SemEval-2017 Task 7: Global vs. Local Context for Interpreting and Locating Homographic English Puns with Sense Embeddings

This paper describes our system participating in the SemEval-2017 Task 7, for the subtasks of homographic pun location and homographic pun interpretation. For pun interpretation, we use a knowledge-based Word Sense Disam…

Learning Homographic Disambiguation Representation for Neural Machine Translation

Homographs, words with the same spelling but different meanings, remain challenging in Neural Machine Translation (NMT). While recent works leverage various word embedding approaches to differentiate word sense in NMT, t…

Evaluating author name disambiguation for digital libraries: A case of DBLP

Author name ambiguity in a digital library may affect the findings of research that mines authorship data of the library. This study evaluates author name disambiguation in DBLP, a widely used but insufficiently evaluate…

Learning Knowledge-Rich Sequential Model for Planar Homography Estimation in Aerial Video

This paper presents an unsupervised approach that leverages raw aerial videos to learn to estimate planar homographic transformation between consecutive video frames. Previous learning-based estimators work on pairs of i…