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Biomedical Abstract Sentence Classification by BERT-Based Reading Comprehension
In this paper, we report the investigation of leveraging a reading comprehension model based on BERT for sentence classification in scientific...
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Sequential sentence classification in research papers using cross-domain multi-task learning
The automatic semantic structuring of scientific text allows for more efficient reading of research articles and is an important indexing step for...
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Aspect-level sentiment classification with aspect-opinion sentence pattern connection graph convolutional networks
Attempting to identify and determine the sentiment polarity of one or more aspects (i.e., aspect words) in a sentence, Aspect-Level Sentiment...
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Towards More Generalizable and Accurate Sentence Classification in Medical Abstracts with Less Data
With the unprecedented growth of biomedical publications, it is important to have structured abstracts in bibliographic databases (i.e., PubMed),...
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An overview of sentence ordering task
The sentence ordering task aims to organize complex, unordered sentences into readable text. This improves accuracy, validity, and reliability in...
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Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision
Although neural approaches have yielded state-of-the-art results in the sentence matching task, their performance inevitably drops dramatically when...
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Affirmative and Negative Sentence Detection in the Brain Using SVM-RFE and Rotation Forest: An fMRI Study
Studies on the brain’s response to positive and negative stimuli using non-invasive techniques such as fMRI and PET scans have been widely...
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Sentence Classification Using Quantum Natural Language Processing and Comparison of Optimization Methods
The natural language processing (NLP) demands high computing resourses to process language related problems. The evolution of quantum computing... -
Data Augmentation on Problem and Method Sentence Classification Task in Scientific Paper: A Mechanism Analysis Study
Billions of scientific papers lead to the need to identify essential parts of the massive text. Scientific research is an activity from putting... -
Alignment efficient image-sentence retrieval considering transferable cross-modal representation learning
Traditional image-sentence cross-modal retrieval methods usually aim to learn consistent representations of heterogeneous modalities, thereby to...
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Vision Enhanced Generative Pre-trained Language Model for Multimodal Sentence Summarization
Multimodal sentence summarization (MMSS) is a new yet challenging task that aims to generate a concise summary of a long sentence and its...
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Contextualised segment-wise citation function classification
Much effort has been made in the past decades to citation function classification, but noteworthy issues exist. Annotation difficulty resulted in...
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A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering
The appropriate understanding and fast processing of lengthy legal documents are computationally challenging problems. Designing efficient automatic...
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Inductive Model Using Abstract Meaning Representation for Text Classification via Graph Neural Networks
Text classification is a fundamental task in NLP. Recently, graph neural networks (GNN) have been applied to this field. GNN-based methods... -
Classification of Short Scientific Texts
AbstractThis paper discusses modern approaches to natural language processing and the application of machine learning models to the task of...
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Towards an Academic Abstract Sentence Classification System
This research in progress paper introduces a novel academic abstract sentence classification system intended to improve researcher literature... -
Enhancing patent text classification with Bi-LSTM technique and alpine skiing optimization for improved diagnostic accuracy
Currently, technological innovation has been increasingly valued by companies around the world, and patents as an important recording medium of...
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Neural Network Sentiment Classification of Russian Sentences into Four Classes
AbstractThis work is devoted to the sentiment classification of Russian sentences into four classes: positive, negative, mixed, and neutral. Unlike...
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Improving relation classification effectiveness by alternate distillation
AbstractWith the development of neural networks, more and more complex and excellent relation classification models are constantly proposed. Although...
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An Efficient Approach for Improving the Recall of Rough Abstract Retrieval in Scientific Claim Verification
Scientific claim verification can help the researchers easily find the target scientific papers with the sentence evidence from a large corpus for...