Results 131 to 140 of about 15,528 (226)

SemEval-2010 task 17 [PDF]

, 2009
Eneko Agirre, Oier López de Lacalle, Christiane Fellbaum, Andrea Marchetti, Antonio Toral, Piek Vossen   +5 more
openalex   +1 more source

Extracting Explicit and Implicit Aspects Using Deep Learning

Emerging Science Journal
The proliferation of user-generated content on social networks and websites has heightened the significance of sentiment analysis, also known as opinion mining, as a critical tool for comprehending people’s attitudes toward various topics.
Mikail Muhammad Azman Busst, Kalaiarasi Sonai Muthu Anbananthen, Subarmaniam Kannan, Rajkumar Kannan   +3 more
doaj   +1 more source

Graph-Based Complex Representation in Inter-Sentence Relation Recognition in Polish Texts

Cybernetics and Information Technologies, 2018
This paper presents a supervised approach to the recognition of Cross-document Structure Theory (CST) relations in Polish texts. Its core is a graph-based representation constructed for sentences.
Janz Arkadiusz, Kędzia Paweł, Piasecki Maciej   +2 more
doaj   +1 more source

A Hybrid Frequency Based, Syntax, and Conditional Random Field Method for Implicit and Explicit Aspect Extraction

IEEE Access
Aspect extraction is the most important factor influencing the quality of Aspect-Based Sentiment Analysis (ABSA). Aspect extractions are divided into three approaches: supervised, unsupervised, and hybrid methods.
Mohammad Mashrekul Kabir, Zulaiha Ali Othman, Mohd Ridzwan Yaakub   +2 more
doaj   +1 more source

Design of Intelligent Sentiment Classification Model Based on Deep Neural Network Algorithm in Social Media

IEEE Access
Aspect-based sentiment classification, as a more fine-grained sentiment analysis task, focuses on predicting the sentiment tendency expressed in a sentence based on specific aspects.
Qingxiang Zeng
doaj   +1 more source

UTH_CCB: A report for SemEval 2014 – Task 7 Analysis of Clinical Text [PDF]

, 2014
Yaoyun Zhang, Jingqi Wang, Buzhou Tang, Yonghui Wu, Min Jiang, Yukun Chen, Hua Xu   +6 more
openalex   +1 more source

SemEval-2015 Task 12: Aspect Based Sentiment Analysis [PDF]

, 2015
Maria Pontiki, Dimitrios Galanis, Haris Papageorgiou, Suresh Manandhar, Ion Androutsopoulos   +4 more
openalex   +1 more source

SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT) [PDF]

, 2015
Wei Xu, Chris Callison-Burch, Bill Dolan
openalex   +1 more source

SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing [PDF]

, 2015
Stephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Silvie Cinková, Dan Flickinger, Jan Hajič, Zdeňka Urešová   +7 more
openalex   +1 more source

SENTENCE REPRESENTATION USING LSTM FOR FINDING QUESTION

Tạp chí Khoa học
Learning sentence representation with the full semantics of a document is a challenge in natural language processing problems because if the semantic representation vector of the sentence is suitable, it will increase the performance of finding similar ...
Dinh Khanh Linh, Tran Quang Huy
doaj   +1 more source