Papers
Sadness and Anxiety Language in Reddit Messages Before and After Quitting a Job
Molly Ireland, Micah Iserman, Kiki Adams
SAE-NTM: Sentence-Aware Encoder for Neural Topic Modeling
Hao Liu, Jingsheng Gao, Suncheng Xiang et al.
SafeConv: Explaining and Correcting Conversational Unsafe Behavior
Mian Zhang, Lifeng Jin, Linfeng Song et al.
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels
Zhenting Qi, Xiaoyu Tan, Chao Qu et al.
Sakura at SemEval-2023 Task 2: Data Augmentation via Translation
Alberto Poncelas, Maksim Tkachenko, Ohnmar Htun
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods
Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert et al.
Sam Miller at SemEval-2023 Task 5: Classification and Type-specific Spoiler Extraction Using XLNET and Other Transformer Models
Pia Störmer, Tobias Esser, Patrick Thomasius
Sample Attackability in Natural Language Adversarial Attacks
Vyas Raina, Mark Gales
Sampling Better Negatives for Distantly Supervised Named Entity Recognition
Lu Xu, Lidong Bing, Wei Lu
Samsung Research China - Beijing at SemEval-2023 Task 2: An AL-R Model for Multilingual Complex Named Entity Recognition
Haojie Zhang, Xiao Li, Renhua Gu et al.
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
Fedor Moiseev, Gustavo Hernandez Abrego, Peter Dornbach et al.
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes
Jivnesh Sandhan, Anshul Agarwal, Laxmidhar Behera et al.
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition
Shuzheng Si, Zefan Cai, Shuang Zeng et al.
Sartipi-Sedighin at SemEval-2023 Task 2: Fine-grained Named Entity Recognition with Pre-trained Contextual Language Models and Data Augmentation from Wikipedia
Amir Sartipi, Amirreza Sedighin, Afsaneh Fatemi et al.
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge
Jiangjie Chen, Wei Shi, Ziquan Fu et al.
Scalable and Explainable Automated Scoring for Open-Ended Constructed Response Math Word Problems
Scott Hellman, Alejandro Andrade, Kyle Habermehl
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems
Sarthak Ahuja, Mohammad Kachuee, Fatemeh Sheikholeslami et al.
Scalable Performance Analysis for Vision-Language Models
Santiago Castro, Oana Ignat, Rada Mihalcea
Scale-Invariant Infinite Hierarchical Topic Model
Shusei Eshima, Daichi Mochihashi
Scaling in Cognitive Modelling: a Multilingual Approach to Human Reading Times
Andrea de Varda, Marco Marelli
Scaling Laws for BERT in Low-Resource Settings
Gorka Urbizu, Iñaki San Vicente, Xabier Saralegi et al.
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
Jielin Qiu, Jiacheng Zhu, Mengdi Xu et al.
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination
Hao Fei, Qian Liu, Meishan Zhang et al.
Scene-robust Natural Language Video Localization via Learning Domain-invariant Representations
Zehan Wang, Yang Zhao, Haifeng Huang et al.