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Sentence Classification

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평가표

6

보존된 평가 기록

16

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/dmollaaliod/bioasq-synergy-public

공식 코드

Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions

https://github.com/dmollaaliod/bioasq10b-public

공식 코드

Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering

https://github.com/douglashiwo/aisentencedetection

공식 코드

Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights

https://github.com/e-pet/adni-bias

공식 코드

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection

https://github.com/eric11eca/disco

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DISCO: Distilling Counterfactuals with Large Language Models

https://github.com/eunseongc/mgfid

공식 코드

Multi-Granularity Guided Fusion-in-Decoder

https://github.com/extreme-bert/extreme-bert

공식 코드

ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT

https://github.com/facebookresearch/SentEval

공식 코드

What you can cram into a single vector: Probing sentence embeddings for linguistic properties

https://github.com/facebookresearch/randsent

공식 코드

No Training Required: Exploring Random Encoders for Sentence Classification

https://github.com/ganchengguang/SLG-framework

공식 코드

Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition

https://github.com/google-research/bert

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/gtshs2/BetaLSTM

공식 코드

Bivariate Beta-LSTM

https://github.com/indobenchmark/indonlu

공식 코드

IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding

https://github.com/ivanmontero/autobot

공식 코드

Sentence Bottleneck Autoencoders from Transformer Language Models

https://github.com/jind11/HSLN-Joint-Sentence-Classification

공식 코드

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

https://github.com/jongwooko/musc

공식 코드

Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks

https://github.com/lascivaroma/seligator

공식 코드

Detecting Sexual Content at the Sentence Level in First Millennium Latin Texts

https://github.com/lvapeab/nmt-keras

공식 코드

NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

https://github.com/matthewcym/sflm

공식 코드

Revisiting Self-Training for Few-Shot Learning of Language Model

https://github.com/mitre-attack/tram

공식 코드

Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models

https://github.com/mpoemsl/circe

공식 코드

CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations

https://github.com/msadat3/ssl_for_nli

공식 코드

Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference

https://github.com/mvandenhi/signal-is-harder

공식 코드

Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss

https://github.com/naver/biobert-pretrained

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BioBERT: a pre-trained biomedical language representation model for biomedical text mining

https://github.com/perathambkk/case_shared_task_emnlp2022

공식 코드

ClassBases at CASE-2022 Multilingual Protest Event Detection Tasks: Multilingual Protest News Detection and Automatically Replicating Manually Created Event Datasets

https://github.com/persona-bench/persona

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A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

https://github.com/poseidon-workflows/llm_ad

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Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning

https://github.com/princeton-nlp/datamux

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DataMUX: Data Multiplexing for Neural Networks

https://github.com/princeton-nlp/shortcutgrammar

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Finding Dataset Shortcuts with Grammar Induction

https://github.com/puredefence/advbench4text

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Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks

https://github.com/qianc62/MGTC

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An Approach for Process Model Extraction By Multi-Grained Text Classification

https://github.com/rasmuskaer/mdapt_supplements

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MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model

https://github.com/rktamplayo/MCFA

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Translations as Additional Contexts for Sentence Classification

https://github.com/salesforce/mpt

공식 코드

Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models

https://github.com/satzbeleg/keras-hrp

공식 코드

Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings

https://github.com/satzbeleg/study-hrp

공식 코드

Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings

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