4 citations · 10 across the 6 of their papers we have counts for
6 papers
Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness
Xinran Zhao, Tong Chen, Sihao Chen +2
The task of Information Retrieval (IR) requires a system to identify relevant documents based on users' information needs. In real-world scenarios, retrievers are expected to not o…
On Measuring the Intrinsic Few-Shot Hardness of Datasets
Xinran Zhao, Shikhar Murty, Christopher D. Manning
While advances in pre-training have led to dramatic improvements in few-shot learning of NLP tasks, there is limited understanding of what drives successful few-shot adaptation in…
Weakly Supervised Text Classification using Supervision Signals from a Language Model
Ziqian Zeng, Weimin Ni, Tianqing Fang +3
Solving text classification in a weakly supervised manner is important for real-world applications where human annotations are scarce. In this paper, we propose to query a masked l…
Learning Contextual Causality from Time-consecutive Images
Hongming Zhang, Yintong Huo, Xinran Zhao +2
Causality knowledge is crucial for many artificial intelligence systems. Conventional textual-based causality knowledge acquisition methods typically require laborious and expensiv…
A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution
Hongming Zhang, Xinran Zhao, Yangqiu Song
Pronoun Coreference Resolution (PCR) is the task of resolving pronominal expressions to all mentions they refer to. Compared with the general coreference resolution task, the main…
WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge
Hongming Zhang, Xinran Zhao, Yangqiu Song
In this paper, we present the first comprehensive categorization of essential commonsense knowledge for answering the Winograd Schema Challenge (WSC). For each of the questions, we…