ezosa / M3L-topic-modelLinks
Multimodal and multilingual topic model with pretrained embeddings
☆12Updated 2 years ago
Alternatives and similar repositories for M3L-topic-model
Users that are interested in M3L-topic-model are comparing it to the libraries listed below
Sorting:
- The model implementations for T5 encoder decoder soft prompt tuning for text generation.☆25Updated 3 years ago
- Code, data, and models for "Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation"☆12Updated last year
- The code for paper "ProQA: Structural Prompt-based Pre-training for Unified Question Answering"☆11Updated 2 years ago
- SentiX : A Sentiment-Aware Pretrained Model for Cross-domain Sentiment Aanlysis☆35Updated 5 years ago
- [NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners☆22Updated 3 years ago
- ☆19Updated 10 months ago
- [NAACL 2024] Data and code for our paper "Sentiment Analysis in the Era of Large Language Models: A Reality Check"☆110Updated 2 months ago
- [COLING 2022] Learning from Adjective-Noun Pairs: A Knowledge-enhanced Framework for Target-Oriented Multimodal Sentiment Classification☆14Updated 2 years ago
- Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs [EMNLP 2023 Findings]☆24Updated 2 years ago
- Lexically constrained text generation with CBART.☆49Updated 3 years ago
- Data and code for the paper "Inducing Positive Perspectives with Text Reframing"☆61Updated 2 years ago
- ☆14Updated 3 years ago
- Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"☆165Updated 3 years ago
- Official Code for 'EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification' - NAACL 2022☆23Updated 3 years ago
- ☆22Updated 3 years ago
- Mutual Information Predicts Hallucinations in Abstractive Summarization☆13Updated 3 years ago
- ☆36Updated last year
- EMNLP 2022: ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization☆36Updated 2 years ago
- Can ChatGPT really understand the opinions, sentiments, and emotions contained in the text? We provide a preliminary evaluation.☆54Updated last year
- ☆39Updated 3 years ago
- Supervised Contrastive Learning for Downstream Optimized Sequence Representations☆26Updated 4 years ago
- MoLE: Cross-Domain Label-Adaptive Stance Detection☆18Updated 3 years ago
- ☆19Updated 4 years ago
- ☆11Updated 2 years ago
- Mr. Right: Multimodal Retrieval on Representation of ImaGe witH Text☆24Updated 3 years ago
- code for promptCSE, emnlp 2022☆11Updated 2 years ago
- A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. EMNLP 2022☆11Updated 2 years ago
- Data and code for ACL 2022 paper "MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data"☆51Updated last year
- ☆47Updated 4 months ago
- Codes and Datasets for our ACL 2023 paper on cognitive reframing of negative thoughts☆67Updated 2 years ago