Sentence Classification
104 papers with code • 6 benchmarks • 14 datasets
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Latest papers
Multi-Granularity Guided Fusion-in-Decoder
In Open-domain Question Answering (ODQA), it is essential to discern relevant contexts as evidence and avoid spurious ones among retrieved results.
Neural Architecture Search for Sentence Classification with BERT
Pre training of language models on large text corpora is common practice in Natural Language Processing.
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification
As a solution, we propose AdaSent, which decouples SEPT from DAPT by training a SEPT adapter on the base PLM.
Detecting Sexual Content at the Sentence Level in First Millennium Latin Texts
In this study, we propose to evaluate the use of deep learning methods for semantic classification at the sentence level to accelerate the process of corpus building in the field of humanities and linguistics, a traditional and time-consuming task.
Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition
Information extraction(IE) is a crucial subfield within natural language processing.
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs
ColexNet's nodes are concepts and its edges are colexifications.
Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings
Training and inference on edge devices often requires an efficient setup due to computational limitations.
DISCO: Distilling Counterfactuals with Large Language Models
However, high-quality counterfactual data is scarce for most tasks and not easily generated at scale.
DigiCall: A Benchmark for Measuring the Maturity of Digital Strategy through Company Earning Calls
Digital transformation reinvents companies, their vision and strategy, organizational structure, processes, capabilities, and culture, and enables the development of new or enhanced products and services delivered to customers more efficiently.
ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT
In this paper, we present ExtremeBERT, a toolkit for accelerating and customizing BERT pretraining.