6 citations · 41 across the 17 of their papers we have counts for
7 papers · 1 filter
Conformal Predictor for Improving Zero-shot Text Classification Efficiency
Prafulla Kumar Choubey, Yu Bai, Chien-Sheng Wu +2
Pre-trained language models (PLMs) have been shown effective for zero-shot (0shot) text classification. 0shot models based on natural language inference (NLI) and next sentence pre…
Marvista: Exploring the Design of a Human-AI Collaborative News Reading Tool
Xiang 'Anthony' Chen, Chien-Sheng Wu, Lidiya Murakhovs'ka +4
We explore the design of Marvista -- a human-AI collaborative tool that employs a suite of natural language processing models to provide end-to-end support for reading online news…
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka +2
Question generation (QGen) models are often evaluated with standardized NLG metrics that are based on n-gram overlap. In this paper, we measure whether these metric improvements tr…
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets
Philippe Laban, Chien-Sheng Wu, Wenhao Liu +1
Precisely assessing the progress in natural language generation (NLG) tasks is challenging, and human evaluation to establish a preference in a model's output over another is often…
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis
Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong
Sentiment analysis is an important task in natural language processing. In recent works, pre-trained language models are often used to achieve state-of-the-art results, especially…
Structure Extraction in Task-Oriented Dialogues with Slot Clustering
Liang Qiu, Chien-Sheng Wu, Wenhao Liu +1
Extracting structure information from dialogue data can help us better understand user and system behaviors. In task-oriented dialogues, dialogue structure has often been considere…