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Sentence segmentation

Papers

Showing 1–25 of 67 papers

TitleStatusHype
Human Genome Book: Words, Sentences and ParagraphsCode0
Segmentation en phrases : ouvrez les guillemets sans perdre le fil—0
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence SegmentationCode7
Opera Graeca Adnotata: Building a 34M+ Token Multilayer Corpus for Ancient GreekCode1
Ascle: A Python Natural Language Processing Toolkit for Medical Text GenerationCode1
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language ModelsCode1
GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts—0
Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence SegmentationCode3
Prosodic features improve sentence segmentation and parsingCode0
Sentence Identification with BOS and EOS Label Combinations—0
SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked ContentCode0
Midas Loop: A Prioritized Human-in-the-Loop Annotation for Large Scale Multilayer Data—0
LeConTra: A Learner Corpus of English-to-Dutch News TranslationCode0
Mukayese: Turkish NLP Strikes BackCode1
Mukayese: Turkish NLP Strikes Back—0
CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT—0
Better Chinese Sentence Segmentation with Reinforcement Learning—0
The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies—0
A unified approach to sentence segmentation of punctuated text in many languagesCode1
Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text—0
TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage Generic- to Individual-Language Finetuning—0
Sentiment Analysis for Troll Detection on Weibo—0
Creating a Universal Dependencies Treebank of Spoken Frisian-Dutch Code-switched DataCode0
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language ProcessingCode1
Experiments on transfer learning architectures for biomedical relation extraction—0
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