Sentence Classification
104 papers with code • 6 benchmarks • 14 datasets
Benchmarks
These leaderboards are used to track progress in Sentence Classification
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Libraries
Use these libraries to find Sentence Classification models and implementationsDatasets
Pubmed
SciCite
PubMed RCT
PcMSP
E2E Refined
Latest papers with no code
Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022
The CASE 2022 extension consists of expanding the test data with more data in previously available languages, namely, English, Hindi, Portuguese, and Spanish, and adding new test data in Mandarin, Turkish, and Urdu for Sub-task 1, document classification.
Getting the Most out of Simile Recognition
Simile recognition involves two subtasks: simile sentence classification that discriminates whether a sentence contains simile, and simile component extraction that locates the corresponding objects (i. e., tenors and vehicles).
Multi-granularity Argument Mining in Legal Texts
In this work, we conceptualize argument mining as a token-level (i. e., word-level) classification problem.
Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers
However, as a fixed-size model acquires more languages, its performance across all languages degrades, a phenomenon termed interference.
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts
This study presents a new approach to metaphorical paraphrase generation by masking literal tokens of literal sentences and unmasking them with metaphorical language models.
Figure Descriptive Text Extraction using Ontological Representation
Experimental research publications provide figure form resources including graphs, charts, and any type of images to effectively support and convey methods and results.
Construction of English Resume Corpus and Test with Pre-trained Language Models
Moreover, one of the most critical application scenarios of information extraction is the information extraction of resumes.
Sectioning of Biomedical Abstracts: A Sequence of Sequence Classification Task
In this project, we study a state-of-the-art deep learning model, which we called SSN-4 model here.
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models
In Track-1 of the BioCreative VII Challenge participants are asked to identify interactions between drugs/chemicals and proteins.
Making Small Language Models Better Few-Shot Learners
Large-scale language models coupled with prompts have shown remarkable performance on few-shot learning.
