Results 141 to 150 of about 14,560 (254)
Extracting Explicit and Implicit Aspects Using Deep Learning
Emerging Science JournalThe 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 +3 more
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Identifying interactions between chemical entities in biomedical text
Journal 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
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CRCL at SemEval-2024 Task 2: Simple prompt optimizations [PDF]
SemEval-2024We present a baseline for the SemEval 2024 task 2 challenge, whose objective is to ascertain the inference relationship between pairs of clinical trial report sections and statements. We apply prompt optimization techniques with LLM Instruct models provided as a Language Model-as-a-Service (LMaaS).
arxiv
UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method
IEEE Access, 2019 Semantic textual similarity (STS) is the task of assessing the degree of similarity between two texts in terms of meaning. Several approaches have been proposed in the literature to determine the semantic similarity between texts. The most promising work
Basma Hassan +3 more
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PunFields at SemEval-2017 Task 7: Employing Roget's Thesaurus in Automatic Pun Recognition and Interpretation [PDF]
arXiv, 2017 The article describes a model of automatic interpretation of English puns, based on Roget's Thesaurus, and its implementation, PunFields. In a pun, the algorithm discovers two groups of words that belong to two main semantic fields. The fields become a semantic vector based on which an SVM classifier learns to recognize puns. A rule-based model is then
arxiv
IEEE AccessAspect 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 +2 more
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ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN [PDF]
arXiv, 2019 In this paper we present our model on the task of emotion detection in textual conversations in SemEval-2019. Our model extends the Recurrent Convolutional Neural Network (RCNN) by using external fine-tuned word representations and DeepMoji sentence representations.
arxiv
IEEE AccessAspect-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
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