網頁2024年3月5日 · Stephen Obadinma, Hongyu Guo, Xiaodan Zhu Recent work has demonstrated that tuning continuous prompts on large, frozen pretrained language … 網頁Read Stephen Obadinma's latest research, browse their coauthor's research, and play around with their algorithms Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support Building Agent Assistants that

Class-wise Calibration: A Case Study on COVID-19 Hate Speech

網頁Stephen Obadinma 2024 pdf abs S em E val-2024 Task 5: Counterfactual Recognition Xiaoyu Yang Stephen Obadinma Huasha Zhao Qiong Zhang Stan Matwin … 網頁Read Stephen Obadinma's latest research, browse their coauthor's research, and play around with their algorithms Bringing the State-of-the-Art to Customers: A Neural Agent … e8080 シマノ

SemEval-2024 Task 5: Modelling Causal Reasoning in Language: …

網頁2024年1月1日 · Stephen Obadinma Huasha Zhao Xiaodan Zhu View ... Rather than adding a fully connected layer on top, some competitors reconstruct the top structure of the pre-trained models or add a neural... 網頁2024年2月7日 · Building Agent Assistants that can help improve customer service support requires inputs from industry users and their customers, as well as knowledge about state-of-the-art Natural Language Processing (NLP) technology. We combine expertise from academia and industry to bridge the gap and build task/domain-specific Neural Agent … 網頁2024年7月7日 · SemEval-2024 Task 5 Subtask-1: Recognizing Counterfactual Statements (RCS) -- Determine whether a given sentence is counterfactual or not. Subtask-2: Detecting Antecedent and Consequent (DAC) -- Extract the antecedent and consequent part in a given counterfactual sentence. The released dataset consists of train/test data of both subtask … e-800 レビュー