Results 61 to 70 of about 15,771 (225)
, 2018 Luminoso participated in the SemEval 2018 task on "Capturing Discriminative Attributes" with a system based on ConceptNet, an open knowledge graph focused on general knowledge.
Lowry-Duda, Joanna, Speer, Robyn
core +1 more source
SemEval-2017 Task 4: Sentiment Analysis in Twitter [PDF]
Proceedings of the 11th International Workshop on Semantic Evaluation
(SemEval-2017), 2017 sentiment analysis, Twitter, classification, quantification, ranking, English ...
Sara Rosenthal +2 more
openaire +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
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Combining Sentiment Lexica with a Multi-View Variational Autoencoder [PDF]
, 2019 When assigning quantitative labels to a dataset, different methodologies may rely on different scales. In particular, when assigning polarities to words in a sentiment lexicon, annotators may use binary, categorical, or continuous labels.
Augenstein, Isabelle +4 more
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Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text
IEEE AccessAspect extraction poses a significant challenge in Natural Language Processing (NLP). Extracting explicit and implicit aspects from online text data remains an ongoing challenge despite significant research efforts.
Mikail Muhammad Azman Busst +4 more
doaj +1 more source
Multi-Head Self-Attention Gated-Dilated Convolutional Neural Network for Word Sense Disambiguation
IEEE Access, 2023 Word sense disambiguation (WSD) is to determine correct sense of ambiguous word based on its context. WSD is widely used in text classification, machine translation and information retrieval and so on.
Chun-Xiang Zhang +2 more
doaj +1 more source
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder [PDF]
, 2016 We present Tweet2Vec, a novel method for generating general-purpose vector representation of tweets. The model learns tweet embeddings using character-level CNN-LSTM encoder-decoder.
Kiros R. +3 more
core +2 more sources
Employing synthetic data for addressing the class imbalance in aspect-based sentiment classification
Journal of Information and TelecommunicationThe class imbalance problem, in which the distribution of different classes in training data is unequal or skewed, is a prevailing problem. This can lead to classifier algorithms being biased, negatively impacting the performance of the minority class ...
Vaishali Ganganwar, Ratnavel Rajalakshmi
doaj +1 more source
Stock Portfolio Management Based on AI Technology
Journal of Forecasting, EarlyView.ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso +1 more
wiley +1 more source
Complex Word Identification: Challenges in Data Annotation and System Performance
, 2017 This paper revisits the problem of complex word identification (CWI) following up the SemEval CWI shared task. We use ensemble classifiers to investigate how well computational methods can discriminate between complex and non-complex words.
Malmasi, Shervin +3 more
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