no code implementations • 7 Aug 2021 • Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent Hecht, Jaime Teevan
Then we incorporate the resulting representations for enhancing the experiences of common activities people perform on the web.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang
In this paper, we design Query-Directed Sparse attention that induces IR-axiomatic structures in transformer self-attention.
no code implementations • EMNLP 2020 • Ruey-Cheng Chen, Chia-Jung Lee
Generative neural networks have been shown effective on query suggestion.
no code implementations • 3 Jan 2020 • Xinyi Li, Chia-Jung Lee, Milad Shokouhi, Susan Dumais
Our approach starts with a reading time analysis based on the reading events from a major email platform, followed by a user study to provide explanations for some discoveries.
no code implementations • CONLL 2017 • Yan Song, Chia-Jung Lee, Fei Xia
This paper presents a unified framework that leverages pre-learned or external priors, in the form of a regularizer, for enhancing conventional language model-based embedding learning.
no code implementations • EACL 2017 • Yan Song, Chia-Jung Lee
Many important email-related tasks, such as email classification or search, highly rely on building quality document representations (e. g., bag-of-words or key phrases) to assist matching and understanding.