Papers
Pre-trained Personalized Review Summarization with Effective Salience Estimation
Hongyan Xu, Hongtao Liu, Zhepeng Lv et al.
Pre-training Language Model as a Multi-perspective Course Learner
Beiduo Chen, Shaohan Huang, Zihan Zhang et al.
Pre-training Multi-party Dialogue Models with Latent Discourse Inference
Yiyang Li, Xinting Huang, Wei Bi et al.
Pre-Training to Learn in Context
Yuxian Gu, Li Dong, Furu Wei et al.
PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
Avi Sil, Jaydeep Sen, Bhavani Iyer et al.
Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization
Oleksandr Yermilov, Vipul Raheja, Artem Chernodub
Privacy Aware Question-Answering System for Online Mental Health Risk Assessment
Prateek Chhikara, Ujjwal Pasupulety, John Marshall et al.
Privacy-Preserving Domain Adaptation of Semantic Parsers
Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto et al.
Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing
Paul Youssef, Jörg Schlötterer, Christin Seifert
Probing for Hyperbole in Pre-Trained Language Models
Nina Schneidermann, Daniel Hershcovich, Bolette Pedersen
Probing Graph Decomposition for Argument Pair Extraction
Yang Sun, Bin Liang, Jianzhu Bao et al.
Probing neural language models for understanding of words of estimative probability
Damien Sileo, Marie-francine Moens
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
Hyunsoo Cho, Choonghyun Park, Junyeob Kim et al.
Probing Physical Reasoning with Counter-Commonsense Context
Kazushi Kondo, Saku Sugawara, Akiko Aizawa
Problematic Webpage Identification: A Trilogy of Hatespeech, Search Engines and GPT
Ojasvin Sood, Sandipan Dandapat
Prodicus at SemEval-2023 Task 4: Enhancing Human Value Detection with Data Augmentation and Fine-Tuned Language Models
Erfan Moosavi Monazzah, Sauleh Eetemadi
Product Question Answering in E-Commerce: A Survey
Yang Deng, Wenxuan Zhang, Qian Yu et al.
Program Chairs’ Report on Peer Review at ACL 2023
Anna Rogers, Marzena Karpinska, Jordan Boyd-Graber et al.
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences
Chaojun Wang, Yang Liu, Wai Lam
Promoting Fairness in Classification of Quality of Medical Evidence
Simon Suster, Timothy Baldwin, Karin Verspoor
Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring
Heejin Do, Yunsu Kim, Gary Geunbae Lee
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts
Xiangjue Dong, Yun He, Ziwei Zhu et al.
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning
Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han et al.
Prompt-Based Metric Learning for Few-Shot NER
Yanru Chen, Yanan Zheng, Zhilin Yang