Sentence segmentation
19 papers with code • 1 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Sentence segmentation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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CoNLL
Latest papers
Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation
This study introduces Ascle, a pioneering natural language processing (NLP) toolkit designed for medical text generation.
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
While large language models (LLMs) have made considerable advancements in understanding and generating unstructured text, their application in structured data remains underexplored.
Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
Many NLP pipelines split text into sentences as one of the crucial preprocessing steps.
Prosodic features improve sentence segmentation and parsing
Parsing spoken dialogue presents challenges that parsing text does not, including a lack of clear sentence boundaries.
SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
We present SLATE, a sequence labeling approach for extracting tasks from free-form content such as digitally handwritten (or "inked") notes on a virtual whiteboard.
Mukayese: Turkish NLP Strikes Back
alisafaya/mukayese
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Findings (ACL) 2022
As a solution, we present Mukayese, a set of NLP benchmarks for the Turkish language that contains several NLP tasks.
A unified approach to sentence segmentation of punctuated text in many languages
The sentence is a fundamental unit of text processing.
Creating a Universal Dependencies Treebank of Spoken Frisian-Dutch Code-switched Data
This paper explores the difficulties of annotating transcribed spoken Dutch-Frisian code-switch utterances into Universal Dependencies.
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
nlp-uoregon/trankit
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EACL 2021
Finally, we create a demo video for Trankit at: https://youtu. be/q0KGP3zGjGc.
Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts
Texts obtained from web are noisy and do not necessarily follow the orthographic sentence and word boundary rules.
