Papers Document Classification
“Document Classification” 태그가 달린 논문 670편 · 필터 해제
Optimal Transport for Measures with Noisy Tree Metric
We study optimal transport (OT) problem for probability measures supported on a tree metric space. It is known that such OT problem (i.e., tree-Wasserstein (TW)) admits a closed-form expression, but depends fundamentally…
Document ClassificationTopological Data AnalysisBibRank: Automatic Keyphrase Extraction Platform Using~Metadata
Automatic Keyphrase Extraction involves identifying essential phrases in a document. These keyphrases are crucial in various tasks such as document classification, clustering, recommendation, indexing, searching, summari…
ClusteringDocument ClassificationKeyphrase ExtractionText SimplificationAn Analysis on Large Language Models in Healthcare: A Case Study of BioBERT
This paper conducts a comprehensive investigation into applying large language models, particularly on BioBERT, in healthcare. It begins with thoroughly examining previous natural language processing (NLP) approaches in …
Document ClassificationInformation RetrievalQuestion AnsweringKoBigBird-large: Transformation of Transformer for Korean Language Understanding
This work presents KoBigBird-large, a large size of Korean BigBird that achieves state-of-the-art performance and allows long sequence processing for Korean language understanding. Without further pretraining, we only tr…
Document ClassificationQuestion AnsweringBeyond Document Page Classification: Design, Datasets, and Challenges
This paper highlights the need to bring document classification benchmarking closer to real-world applications, both in the nature of data tested ($X$: multi-channel, multi-paged, multi-industry; $Y$: class distributions…
BenchmarkingClassificationDocument ClassificationFeature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset
The selection of features for text classification is a fundamental task in text mining and information retrieval. Despite being the sixth most widely spoken language in the world, Bangla has received little attention due…
Document ClassificationGenerative Adversarial NetworkInformation RetrievalRetrieval+2Accelerated materials language processing enabled by GPT
Materials language processing (MLP) is one of the key facilitators of materials science research, as it enables the extraction of structured information from massive materials science literature. Prior works suggested hi…
Document ClassificationExtractive Question-Answeringnamed-entity-recognitionNamed Entity Recognition+6Taken by Surprise: Contrast effect for Similarity Scores
Accurately evaluating the similarity of object vector embeddings is of critical importance for natural language processing, information retrieval and classification tasks. Popular similarity scores (e.g cosine similarity…
ClassificationDocument ClassificationInformation RetrievalRetrievalLarge Language Model Prompt Chaining for Long Legal Document Classification
Prompting is used to guide or steer a language model in generating an appropriate response that is consistent with the desired outcome. Chaining is a strategy used to decompose complex tasks into smaller, manageable comp…
Document ClassificationIn-Context LearningLanguage ModelingLanguage Modelling+1LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning
Transfomer-based models have significantly advanced natural language processing, in particular the performance in text classification tasks. Nevertheless, these models face challenges in processing large files, primarily…
Android Malware DetectionClassificationDefect DetectionDocument Classification+7Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs
Deep learning often faces the challenge of efficiently processing dynamic inputs, such as sensor data or user inputs. For example, an AI writing assistant is required to update its suggestions in real time as a document …
Document ClassificationKnowledge DistillationLanguage ModelingLanguage Modelling+1UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition
Pre-trained transformer language models (LMs) have in recent years become the dominant paradigm in applied NLP. These models have achieved state-of-the-art performance on tasks such as information extraction, question an…
Document Classificationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+3Attention over pre-trained Sentence Embeddings for Long Document Classification
Despite being the current de-facto models in most NLP tasks, transformers are often limited to short sequences due to their quadratic attention complexity on the number of tokens. Several attempts to address this issue w…
Document ClassificationSentenceSentence EmbeddingsCan Model Fusing Help Transformers in Long Document Classification? An Empirical Study
Text classification is an area of research which has been studied over the years in Natural Language Processing (NLP). Adapting NLP to multiple domains has introduced many new challenges for text classification and one o…
ClassificationDocument Classificationtext-classificationText ClassificationMDACE: MIMIC Documents Annotated with Code Evidence
We introduce a dataset for evidence/rationale extraction on an extreme multi-label classification task over long medical documents. One such task is Computer-Assisted Coding (CAC) which has improved significantly in rece…
Document ClassificationExtreme Multi-Label ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONUnsupervised Sentiment Analysis of Plastic Surgery Social Media Posts
The massive collection of user posts across social media platforms is primarily untapped for artificial intelligence (AI) use cases based on the sheer volume and velocity of textual data. Natural language processing (NLP…
Document ClassificationSentiment AnalysisOn Evaluation of Document Classification using RVL-CDIP
The RVL-CDIP benchmark is widely used for measuring performance on the task of document classification. Despite its widespread use, we reveal several undesirable characteristics of the RVL-CDIP benchmark. These include (…
BenchmarkingClassificationDiversityDocument ClassificationWeakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training
Scientific document classification is a critical task for a wide range of applications, but the cost of obtaining massive amounts of human-labeled data can be prohibitive. To address this challenge, we propose a weakly-s…
Document ClassificationRetrievalEvaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers
ChatGPT is a large language model developed by OpenAI. Despite its impressive performance across various tasks, no prior work has investigated its capability in the biomedical domain yet. To this end, this paper aims to …
Document ClassificationLanguage ModelingLanguage ModellingLarge Language Model+2Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents
The extraction of text in high quality is essential for text-based document analysis tasks like Document Classification or Named Entity Recognition. Unfortunately, this is not always ensured, as poor scan quality and the…
DenoisingDocument Classificationnamed-entity-recognitionNamed Entity Recognition+2