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- The University of MelbourneAU6 papers
- Monash UniversityAU5 papers
- NYU Langone HealthUS2 papers
- Australian College of OptometryAU1 paper
- Dalian University of TechnologyCN1 paper
- Data61AU1 paper
- Defence Science and Technology GroupAU1 paper
- Duke UniversityUS1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Fuzhou UniversityCN1 paper
- Georgia Institute of TechnologyUS1 paper
- IBM (Brazil)BR1 paper
Showing 2018 · cs.CLShow all
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cs.CL2018★ 2 cited
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition
Antonio Jimeno Yepes
Named entity recognition (NER) is used to identify relevant entities in text. A bidirectional LSTM (long short term memory) encoder with a neural conditional random fields (CRF) de…
cs.CL2018★ 4 cited
Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme
Jey Han Lau, Trevor Cohn, Timothy Baldwin +2
In this paper, we propose a joint architecture that captures language, rhyme and meter for sonnet modelling. We assess the quality of generated poems using crowd and expert judgeme…
cs.CL2018
Evaluating Word Embedding Hyper-Parameters for Similarity and Analogy Tasks
Maryam Fanaeepour, Adam Makarucha, Jey Han Lau
The versatility of word embeddings for various applications is attracting researchers from various fields. However, the impact of hyper-parameters when training embedding model is…