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Word embedding

“Is a picture really worth a thousand words?”: A case study on classifying user attributes on Instagram

Junho Song, Kyungsik Han, Dongwon Lee, Sang-Wook Kim

Automatic extraction of gene-disease associations from literature using joint ensemble learning

Balu Bhasuran, Jeyakumar Natarajan

Biomedical literature classification with a CNNs-based hybrid learning network

Yan Yan, Xu-Cheng Yin, [ ... ], Bo-Wen Zhang

Emotion computing using Word Mover’s Distance features based on Ren_CECps

Fuji Ren, Ning Liu

Jointly learning word embeddings using a corpus and a knowledge base

Mohammed Alsuhaibani, Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

Sebastian Gehrmann, Franck Dernoncourt, [ ... ], Leo A. Celi

Drug drug interaction extraction from the literature using a recursive neural network

Sangrak Lim, Kyubum Lee, Jaewoo Kang

Learning linear transformations between counting-based and prediction-based word embeddings

Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi

An iterative approach for the global estimation of sentence similarity

Tomoyuki Kajiwara, Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi

"What is relevant in a text document?": An interpretable machine learning approach

Leila Arras, Franziska Horn, [ ... ], Wojciech Samek

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