conftrace_
← Applications
Natural Language Processing › Applications ›

Text Classification

6,754 papers

Papers per year

Papers

NLP Systems That Can’t Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps NAACL 2024
ToXCL: A Unified Framework for Toxic Speech Detection and Explanation NAACL 2024
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners NAACL 2024
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs NAACL 2024
Generalizable Multilingual Hate Speech Detection on Low Resource Indian Languages using Fair Selection in Federated Learning NAACL 2024
Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling NAACL 2024
Can Language Model Moderators Improve the Health of Online Discourse? NAACL 2024
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering NAACL 2024
BUST: Benchmark for the evaluation of detectors of LLM-Generated Text NAACL 2024
Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations NAACL 2024
Personalized Review Recommendation based on Implicit dimension mining NAACL 2024
Contextualizing Argument Quality Assessment with Relevant Knowledge NAACL 2024
LLM-Driven Knowledge Injection Advances Zero-Shot and Cross-Target Stance Detection NAACL 2024
Llama meets EU: Investigating the European political spectrum through the lens of LLMs NAACL 2024
LifeTox: Unveiling Implicit Toxicity in Life Advice NAACL 2024
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis NAACL 2024
Multi-Source Text Classification for Multilingual Sentence Encoder with Machine Translation NAACL 2024
Modeling and Detecting Company Risks from News NAACL 2024
Prompt Tuned Embedding Classification for Industry Sector Allocation NAACL 2024
Leveraging Natural Language Processing and Large Language Models for Assisting Due Diligence in the Legal Domain NAACL 2024
Scaling Up Authorship Attribution NAACL 2024
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification NAACL 2024
GPT-who: An Information Density-based Machine-Generated Text Detector NAACL 2024
Leveraging Contextual Information for Effective Entity Salience Detection NAACL 2024
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? NAACL 2024