A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model [PDF]
PeerJ Computer Science, 2023 Aspect-based sentiment analysis tasks are well researched in English. However, we find such research lacking in the context of the Arabic language, especially with reference to aspect category detection.
Miada Almasri +2 more
doaj +3 more sources
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection
, 2017 This paper describes the Duluth system that participated in SemEval-2017 Task 6 #HashtagWars: Learning a Sense of Humor. The system participated in Subtasks A and B using N-gram language models, ranking highly in the task evaluation. This paper discusses
Pedersen, Ted, Yan, Xinru
core +3 more sources
Multilingual Fine-Grained Named Entity Recognition [PDF]
Computer Science Journal of Moldova, 2023 The “MultiCoNER II Multilingual Complex Named Entity Recognition” task\footnote[1]{\url{https://multiconer.github.io}} within SemEval 2023 competition focuses on identifying complex named entities (NEs), such as the titles of creative works (e.g., songs,
Viorica-Camelia Lupancu, Adrian Iftene
doaj +1 more source
A metaheuristic with a neural surrogate function for Word Sense Disambiguation
Machine Learning with Applications, 2022 Word Sense Disambiguation (WSD) is one of the earliest problems in natural language processing which aims to determine the correct sense of words in context.
Azim Keshavarzian Nodehi +1 more
doaj +1 more source
Improving Semantic Dependency Parsing with Higher-Order Information Encoded by Graph Neural Networks
Applied Sciences, 2022 Higher-order information brings significant accuracy gains in semantic dependency parsing. However, modeling higher-order information is non-trivial. Graph neural networks (GNNs) have been demonstrated to be an effective tool for encoding higher-order ...
Bin Li +4 more
doaj +1 more source
A Method of Word Sense Disambiguation with Recurrent Netural Networks
Journal of Harbin University of Science and Technology, 2020 Word sense disambiguation is an important research problem in natural language processing field. For the phenomenon that a Chinese word has many senses, recurrent neural network (RNN) is used to determine true meaning of ambiguous word with its context ...
ZHANG Chunxiang +2 more
doaj +1 more source
TWE‐WSD: An effective topical word embedding based word sense disambiguation
CAAI Transactions on Intelligence Technology, 2021 Word embedding has been widely used in word sense disambiguation (WSD) and many other tasks in recent years for it can well represent the semantics of words.
Lianyin Jia +5 more
doaj +1 more source
Hybrid Feature Model for Emotion Recognition in Arabic Text
IEEE Access, 2020 In recent years, research into developing state-of-the-art models for Arabic natural language processing tasks has gained momentum. These models must address the added difficulties related to the nature and structure of the Arabic language. In this paper,
Nourah Alswaidan +1 more
doaj +1 more source
Understanding Citizen Issues through Reviews: A Step towards Data Informed Planning in Smart Cities
Applied Sciences, 2018 Governments these days are demanding better Smart City technologies in order to connect with citizens and understand their demands. For such governments, much needed information exists on social media where members belonging to diverse groups share ...
Noman Dilawar +6 more
doaj +1 more source
Aspect Based Sentimental Analysis of Hotel Reviews: A Comparative Study
Sukkur IBA Journal of Computing and Mathematical Sciences, 2020 The increasing use of the internet enables users to share their opinion about what they like and dislike regarding products and services. For efficient decision making, there is a need to analyze these reviews.
Sindhu Abro +4 more
doaj +5 more sources