ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning

27 May 2021

Papers citing "ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning"

19 / 19 papers shown

Title
REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models Shenyang Liu Saleh Almohaimeed Liqiang Wang 30 0 0 06 Apr 2025
HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection Maryam Bala Amina Imam Abubakar Abdulhamid Abubakar Abdulkadir Shehu Bichi Hafsa Kabir Ahmad Sani Abdullahi Sani Idris Abdulmumin Shamsuddeen Hassan Muhamad I. Ahmad HILM 44 1 0 25 Mar 2025
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss Kunal Dahiya Diego Ortego David Jiménez 23 0 0 27 Oct 2024
Exploring Description-Augmented Dataless Intent Classification Ruoyu Hu Foaad Khosmood Abbas Edalat AI4TS 45 0 0 25 Jul 2024
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes Timothee Mickus Elaine Zosa Raúl Vázquez Teemu Vahtola Jörg Tiedemann Vincent Segonne Alessandro Raganato Marianna Apidianaki HILM LRM 43 21 0 12 Mar 2024
Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning Kaipeng Wang Zhi Jing Yongye Su Yikun Han 34 3 0 10 Mar 2024
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders Yuwei Zhang Siffi Singh Sailik Sengupta Igor Shalyminov Hang Su Hwanjun Song Saab Mansour 32 2 0 07 Mar 2024
Data Augmentation for Emotion Detection in Small Imbalanced Text Data Anna Koufakou Diego Grisales Ragy Costa de jesus Oscar Fox 12 2 0 25 Oct 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation Shuo Lei Xuchao Zhang Jianfeng He Fanglan Chen Chang-Tien Lu VLM 11 15 0 03 Jun 2023
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime J. Chen Richong Zhang Zheyan Luo Chunming Hu Yongyi Mao 16 4 0 16 May 2023
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification J. Chen Richong Zhang Yongyi Mao Jie Xue 29 78 0 16 May 2023
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense Kalpesh Krishna Yixiao Song Marzena Karpinska John Wieting Mohit Iyyer DeLMO 21 297 0 23 Mar 2023
ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot Subjective Answer Evaluation Yining Lu Jing Qiu Gaurav Gupta AAML 16 1 0 17 Nov 2022
Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering Helena Bonaldi Sara Dellantonio Serra Sinem Tekiroğlu Marco Guerini 26 41 0 07 Nov 2022
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality Anuj Diwan Layne Berry Eunsol Choi David Harwath Kyle Mahowald CoGe 108 41 0 01 Nov 2022
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification Mohsen Mesgar Thy Thy Tran Goran Glavas Iryna Gurevych 19 3 0 12 Oct 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 174 86 0 06 Dec 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 219 322 0 16 Jan 2021
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 180 453 0 10 Mar 2020