Latest Articles for Computational Linguistics

RepAL improves sentence representations by filtering unnecessary information effectively.

Examining how multilingual models represent various languages and their performance variations.

This study examines how syntax improves relation extraction without extra data.

Introducing Anthe, a model that reduces parameters while improving translation performance.

A method to enhance language model tasks by predicting necessary changes instead of generating entire texts.

This research explores how predicting future words can improve language model performance.

New method enhances AI's ability to learn diverse languages.

This method enhances event prediction using energy-based modeling and hyperspheres.

This article discusses aligning Norwegian language datasets for improved text processing.

This article discusses the role of feed-forward networks in transformer models.

New techniques enhance sentence embedding performance and understanding.

This method enhances language models for specific areas efficiently.

A study highlighting the benefits of grammar constraints in language model outputs.

Researchers develop a new model for improved translations of natural language into formal logic.

This article presents a method that enhances structured prediction efficiency.

A study on vocabulary trimming for efficient language models.

A comprehensive collection of computational linguistics research papers for open science.

A new approach enhances the way machines reason through complex problems step by step.

A look at improving evaluation metrics for natural language generation models.

This article explains how language models solve tasks using simple mathematical methods.

Harnessing surface-level similarities boosts language model performance significantly.

Researchers organize and analyze handcrafted features for better language processing.

A novel approach to identify metaphors through basic meaning modeling.

This article explores how tokenization affects multilingual language models and their performance.

A new incremental system improves coreference understanding in texts.

A novel technique for effective summarization across diverse content types.

A study on filling missing verbal elements in sentences for better machine understanding.

A novel method enhances metaphor detection using limited training data.

This study looks at how language models understand agentivity in sentence structures.

Research explores integrating semantic graphs to enhance language model performance.

Examining how transformers learn to understand language hierarchies through extended training.

This article examines the role and challenges of adverbs in language.

A method to clarify complex phrases in language models.

Sen2Pro improves sentence embeddings by incorporating uncertainty, enhancing NLP tasks.

Polyglot-Ko aims to create high-quality language models for Korean speakers.

A look at how AI models acquire second languages and the mechanisms behind it.

New approaches improve grammar-based AI models for sequence generation.

This research enhances translation quality using Quality Estimation from noisy datasets.

New framework allows words to adapt meanings based on their use in context.

A new method cuts resource needs while training NLP models effectively.