Document-level emotion detection using graph-based margin regularization
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.01.059
Abstract: Abstract Sentiment analysis aims to automatically detect the underlying attitudes that users express. For the documents with complex unstructured data, such as reviews, emojis and surveys, it is usually hard to precisely identify the real… read more here.
Keywords: emotion; detection using; emotion detection; regularization ... See more keywords
Semantic-guided attention and adaptive gating for document-level relation extraction
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-78051-9
Abstract: In natural language processing, document-level relation extraction is a complex task that aims to predict the relationships among entities by capturing contextual interactions from an unstructured document. Existing graph- and transformer-based models capture long-range relational… read more here.
Keywords: document level; document; attention; level relation ... See more keywords
Document-level biomedical relation extraction via hierarchical tree graph and relation segmentation module
Sign Up to like & getrecommendations! Published in 2024 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btae418
Abstract: Abstract Motivation Biomedical relation extraction at the document level (Bio-DocRE) involves extracting relation instances from biomedical texts that span multiple sentences, often containing various entity concepts such as genes, diseases, chemicals, variants, etc. Currently, this… read more here.
Keywords: relation; segmentation; biomedical relation; document level ... See more keywords
SyRACT: zero-shot biomedical document-level relation extraction with synergistic RAG and CoT
Sign Up to like & getrecommendations! Published in 2025 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaf356
Abstract: Abstract Motivation With the advancement of large language models (LLMs), the field of biomedical document-level relation extraction (BioDocRE) has encountered new opportunities. However, LLMs often face challenges such as hallucinated generation, insufficient reasoning capabilities, and… read more here.
Keywords: relation; biomedical document; document level; level relation ... See more keywords
Document-Level Neural Machine Translation With Document Embeddings
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DOI: 10.1109/access.2025.3568089
Abstract: Standard neural machine translation (NMT) assumes that document-level context information is irrespective. Most existing document-level NMT methods are satisfied with a smattering sense of shallow document-level information, such as using a few context sentences surrounding… read more here.
Keywords: document level; document; machine translation; neural machine ... See more keywords
Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification
Sign Up to like & getrecommendations! Published in 2024 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-025-02897-w
Abstract: Clinical machine learning research and artificial intelligence driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of clinical specialists is often time-consuming and expensive. This study tests… read more here.
Keywords: classification; diagnosis extraction; echocardiogram reports; document level ... See more keywords
Enhanced Heterogeneous Graph Attention Network with a Novel Multilabel Focal Loss for Document-Level Relation Extraction
Sign Up to like & getrecommendations! Published in 2024 at "Entropy"
DOI: 10.3390/e26030210
Abstract: Recent years have seen a rise in interest in document-level relation extraction, which is defined as extracting all relations between entities in multiple sentences of a document. Typically, there are multiple mentions corresponding to a… read more here.
Keywords: relation; document level; entity; level relation ... See more keywords
Towards Reliable Baselines for Document-Level Sentiment Analysis in the Czech and Slovak Languages
Sign Up to like & getrecommendations! Published in 2022 at "Future Internet"
DOI: 10.3390/fi14100300
Abstract: This article helps establish reliable baselines for document-level sentiment analysis in highly inflected languages like Czech and Slovak. We revisit an earlier study representing the first comprehensive formulation of such baselines in Czech and show… read more here.
Keywords: level sentiment; baselines document; document level; reliable baselines ... See more keywords
Self-distillation framework for document-level relation extraction in low-resource environments
Sign Up to like & getrecommendations! Published in 2024 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.1930
Abstract: The objective of document-level relation extraction is to retrieve the relations existing between entities within a document. Currently, deep learning methods have demonstrated superior performance in document-level relation extraction tasks. However, to enhance the model’s… read more here.
Keywords: document level; document; relation extraction; level relation ... See more keywords