Latest Articles for Text Analysis

This study examines stance detection model performance without prior topic knowledge.

This study examines how language models enhance OCR outputs for historical newspapers.

A model improving sentence parsing by focusing on entity structure.

A new approach to tokenization enhances analysis of ancient scripts.

Researching connections in biblical texts with advanced language models.

This article explores the role of deep learning in linguistic steganalysis.

A new library enhancing information extraction in Python.

A look at methods for making old texts easier to read.

We analyze pooling and attention strategies in LLM-based embedding models.

WaterSeeker improves detection methods for watermarked text in large documents.

A study on using tree structures to enhance topic modeling in text data.

A new framework enhances how models process long texts.

Automating text annotation improves accuracy and efficiency in machine learning.

Visualize how keywords and topics evolve over time with TimeLink.

Attention-Seeker improves keyphrase extraction using self-attention maps from language models.

A fresh benchmark improves assessment of paraphrase detection systems.

A look at improved methods for summarizing text efficiently.

Research explores advanced models for analyzing historical Greek documents.

SemDI enhances accuracy in identifying event causality using context.

A new method enhances finding individuals in images using text cues.

GAProtoNet enhances text classification by improving interpretability while maintaining high accuracy.

A novel model enhances text embeddings through in-context learning strategies.

A new metric enhancing the assessment of factual consistency in automatic summaries.

Analyzing how gender-fair language influences language models in text classification tasks.

This study examines self-consistency's effectiveness in processing long texts with LLMs.

A new approach blends simplicity and effectiveness in text analysis tools.

A new method for testing language models using randomized text.

This study examines values in human and AI-generated texts for better understanding.

Exploring the impact of machine-generated texts and tools for detecting authorship.

Examining vulnerabilities in watermarking methods against paraphrasing attacks.

A dual approach to analyze Vietnamese readability combining numbers and meaning.

This study reveals the benefits of grouping similar words for language understanding.

A training method helps language models focus on essential information.

New methods improve text event detection and extraction.

Discover how large language models improve argument analysis in texts.

Anime descriptions play a crucial role in forming fan communities.

Examining the line between AI-generated and human-written scientific papers.

LLMs speed up qualitative research, providing fresh insights from large volumes of text.

Discover how data augmentation can improve NER models in low-resource domains.

A look at how texts reflect and influence cultural shifts.