Papers with Code 아카이브
Sarcasm Detection
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The goal of Sarcasm Detection is to determine whether a sentence is sarcastic or non-sarcastic. Sarcasm is a type of phenomenon with specific perlocutionary effects on the hearer, such as to break their pattern of expectation. Consequently, correct understanding of sarcasm often requires a deep understanding of multiple sources of information, including the utterance, the conversational context, and, frequently some real world facts.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ritvikshrivastava/multitask_transformers
공식 코드"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space
https://github.com/sajib-kumar/gender-bias-mitigation-from-bangla-plm
공식 코드https://github.com/samiroid/CUE-CNN
공식 코드Modelling Context with User Embeddings for Sarcasm Detection in Social Media
https://github.com/scsmuhio/MTGCN_Resources
공식 코드https://github.com/shubhamkumarnigam/isarcasm-semeval-2022-task-6
공식 코드https://github.com/soujanyaporia/MUStARD
공식 코드Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
https://github.com/xiaoqiangzhang203/Multi-modal-Sarcasm-Detection-ConAttSD
공식 코드Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism
https://github.com/yiyi-ict/dual-channel-for-sarcasm
공식 코드A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict
https://github.com/yu-billie/kocosa_sarcasm_detection
공식 코드https://github.com/zeroix15/Twitter_Sarcasm_Detections
공식 코드Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word Embeddings
https://github.com/Alex-Fabbri/deep_learning_nlp_sarcasm
The Role of Conversation Context for Sarcasm Detection in Online Interactions
https://github.com/Dev-data-fun/D-D-Sarcasm
https://github.com/Kaguura/SarcasmDetection
https://github.com/M-S-ALAM/Sarcastic-Comment-Detection
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
https://github.com/NLPrinceton/SARC
https://github.com/NamanJain2050/sarcasm-detection
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
https://github.com/NamanJain2050/semeval-2014-task-9
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
https://github.com/NauqGnesh/RedditSarcasm
https://github.com/Obs01ete/chatbot
https://github.com/SEntiMoji/SEntiMoji
https://github.com/SenticNet/CASCADE--ContextuAl-SarCAsm-DEtector
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
https://github.com/alexandra-chron/ntua-slp-wassa-iest2018
https://github.com/alexandra-chron/wassa-2018
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/asking28/offenseval2020
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection
https://github.com/asking28/sentimix2020
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/chrisolen1/sarcasm-detection
https://github.com/eternityyw/tram-benchmark
https://github.com/huggingface/torchMoji
https://github.com/karlwbaker/Springboard_capstone
https://github.com/karpathy/llama2.c
https://github.com/lorenzofamiglini/Irony-Sarcasm-Detection-Task
https://github.com/nkluge-correa/teenytinyllama
https://github.com/open-finance-lab/finlora
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.