Papers
P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training
Junwei Bao, Yifan Wang, Ying Jiangyong et al.
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance
Yang Deng, Wenqiang Lei, Wenxuan Zhang et al.
PaCo: Preconditions Attributed to Commonsense Knowledge
Ehsan Qasemi, Filip Ilievski, Muhao Chen et al.
PAIGE: Personalized Adaptive Interactions Graph Encoder for Query Rewriting in Dialogue Systems
Daniel Biś, Saurabh Gupta, Jie Hao et al.
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction
Junlong Liu, Xichen Shang, Qianli Ma
PAIR: Prompt-Aware margIn Ranking for Counselor Reflection Scoring in Motivational Interviewing
Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow et al.
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion
Jianhao Shen, Chenguang Wang, Ye Yuan et al.
Papago’s Submission to the WMT22 Quality Estimation Shared Task
Seunghyun Lim, Jeonghyeok Park
Parallel Corpus Filtering for Japanese Text Simplification
Koki Hatagaki, Tomoyuki Kajiwara, Takashi Ninomiya
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms
Jinxin Liu, Jiaxin Shi, Ji Qi et al.
Parameter-Efficient Legal Domain Adaptation
Jonathan Li, Rohan Bhambhoria, Xiaodan Zhu
Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection
Bhanu Pratap Singh Rawat, Hong Yu
Parameter-Efficient Tuning Makes a Good Classification Head
Zhuoyi Yang, Ming Ding, Yanhui Guo et al.
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning
Jirui Qi, Richong Zhang, Junfan Chen et al.
Paraphrastic Representations at Scale
John Wieting, Kevin Gimpel, Graham Neubig et al.
ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation
Shuohang Wang, Ruochen Xu, Yang Liu et al.
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
Shangbin Feng, Zhaoxuan Tan, Zilong Chen et al.
Partial Could Be Better than Whole. HW-TSC 2022 Submission for the Metrics Shared Task
Yilun Liu, Xiaosong Qiao, Zhanglin Wu et al.
Partially Humanizing Weak Supervision: Towards a Better Low Resource Pipeline for Spoken Language Understanding
Ayush Kumar, Rishabh Tripathi, Jithendra Vepa
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
Ashish Mittal, Durga Sivasubramanian, Rishabh Iyer et al.
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
Shujian Zhang, Chengyue Gong, Xingchao Liu
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
Zihui Gu, Ju Fan, Nan Tang et al.
Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset
Jan Trienes, Jörg Schlötterer, Hans-Ulrich Schildhaus et al.