Papers
Analyzing Bias in Large Language Model Solutions for Assisted Writing Feedback Tools: Lessons from the Feedback Prize Competition Series
Perpetual Baffour, Tor Saxberg, Scott Crossley
Analyzing Subjectivity Using a Transformer-Based Regressor Trained on Naïve Speakers’ Judgements
Elena Savinova, Fermin Moscoso Del Prado
Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion
Ryo Sekizawa, Hitomi Yanaka
Analyzing Text Representations by Measuring Task Alignment
Cesar Gonzalez-Gutierrez, Audi Primadhanty, Francesco Cazzaro et al.
Analyzing Transformers in Embedding Space
Guy Dar, Mor Geva, Ankit Gupta et al.
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou et al.
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
Yuqing Yang, Qipeng Guo, Xiangkun Hu et al.
An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features
Rose Neis, Karin De Langis, Zae Myung Kim et al.
An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts
Muskan Garg, Amirmohammad Shahbandegan, Amrit Chadha et al.
A Natural Bias for Language Generation Models
Clara Meister, Wojciech Stokowiec, Tiago Pimentel et al.
Andronicus of Rhodes at SemEval-2023 Task 4: Transformer-Based Human Value Detection Using Four Different Neural Network Architectures
Georgios Papadopoulos, Marko Kokol, Maria Dagioglou et al.
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization
Lining Zhang, Simon Mille, Yufang Hou et al.
An Effective Deployment of Contrastive Learning in Multi-label Text Classification
Nankai Lin, Guanqiu Qin, Gang Wang et al.
An Efficient Conversational Smart Compose System
Yun Zhu, Xiayu Chen, Lei Shu et al.
An efficient method for Natural Language Querying on Structured Data
Hanoz Bhathena, Aviral Joshi, Prateek Singh
An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition
Hang Yan, Yu Sun, Xiaonan Li et al.
An Empirical Analysis of Leveraging Knowledge for Low-Resource Task-Oriented Semantic Parsing
Mayank Kulkarni, Aoxiao Zhong, Nicolas Guenon des mesnards et al.
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models
Zhongbin Xie, Thomas Lukasiewicz
An Empirical Comparison of LM-based Question and Answer Generation Methods
Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah
An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis
Yice Zhang, Yifan Yang, Bin Liang et al.
An end-to-end neural model based on cliques and scopes for frame extraction in long breast radiology reports
Perceval Wajsburt, Xavier Tannier
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text
Yunxin Li, Baotian Hu, Yuxin Ding et al.
A New Aligned Simple German Corpus
Vanessa Toborek, Moritz Busch, Malte Boßert et al.