Results 121 to 130 of about 15,771 (225)

Relation Classification via Recurrent Neural Network with Attention and Tensor Layers

open access: yesBig Data Mining and Analytics, 2018
Relation classification is a crucial component in many Natural Language Processing (NLP) systems. In this paper, we propose a novel bidirectional recurrent neural network architecture (using Long Short-Term Memory, LSTM, cells) for relation ...
Runyan Zhang   +3 more
doaj   +1 more source

SemEval-2007 task 01 [PDF]

open access: bronze, 2007
Eneko Agirre   +5 more
openalex   +1 more source

A Hybrid Deep Implicit Neural Model for Sentiment Analysis via Transfer Learning

open access: yesIEEE Access
We present a neural model for sentiment analysis of social network texts with a special focus on cryptocurrency-related content using deep transfer learning. A challenge of deep learning is its need for abundant data.
Kia Jahanbin, Mohammad Ali Zare Chahooki
doaj   +1 more source

The SemEval-2007 WePS evaluation [PDF]

open access: bronze, 2007
Javier Artiles   +2 more
openalex   +1 more source

Breaking Sticks and Ambiguities with Adaptive Skip-gram

open access: yes, 2015
Recently proposed Skip-gram model is a powerful method for learning high-dimensional word representations that capture rich semantic relationships between words. However, Skip-gram as well as most prior work on learning word representations does not take
Bartunov, Sergey   +3 more
core   +1 more source

SemEval-2010 task 17 [PDF]

open access: bronze, 2009
Eneko Agirre   +5 more
openalex   +1 more source

Explainable Aspect-Based Sentiment Analysis Using Transformer Models

open access: yesBig Data and Cognitive Computing
An aspect-based sentiment analysis (ABSA) aims to perform a fine-grained analysis of text to identify sentiments and opinions associated with specific aspects.
Isidoros Perikos   +1 more
doaj   +1 more source

SemEval-2010 task 14 [PDF]

open access: bronze, 2009
Suresh Manandhar, Ioannis P. Klapaftis
openalex   +1 more source

SemEval-2010 task 9 [PDF]

open access: bronze, 2009
Cristina Butnariu   +5 more
openalex   +1 more source

Identifying interactions between chemical entities in biomedical text

open access: yesJournal of Integrative Bioinformatics, 2014
Interactions between chemical compounds described in biomedical text can be of great importance to drug discovery and design, as well as pharmacovigilance.
Lamurias Andre   +2 more
doaj   +1 more source

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