Latest Articles for Text Analysis

Researchers develop a model to identify connections in text more effectively.

FourierKAN offers a new way to improve text classification accuracy and efficiency.

A new method boosts unidirectional models' performance in token classification tasks.

This study compares first-generation Transformers with LLMs for sentiment analysis.

A study of word networks in well-formed and ill-formed texts.

This study examines how planning aids in reducing factual errors in text generation.

Introducing alterfactual explanations to enhance AI model transparency.

Introducing a new model and benchmark for Russian text processing.

Introducing RMARN: an innovative approach to connect text and 3D data.

A new method to enhance relation extraction accuracy in large language models.

TempoFormer analyzes language shifts over time, improving insights from social media.

A new method for extracting events from Portuguese narratives using advanced models.

ACE-2005-PT enhances event extraction capabilities for Portuguese language processing.

Analyzing the impact of text normalization on classifying medieval charters.

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.