Weiran Xu

Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge

2020

Neural-based context-aware models for slot tagging have achieved state-of-the-art performance. However, the presence of OOV(outof-vocab) words significantly degrades the performance of neural-based models, especially in a few-shot scenario. In this paper, we propose a novel …

A supervised topic embedding model and its application

2022 · PLoS ONE

We propose rTopicVec, a supervised topic embedding model that predicts response variables associated with documents by analyzing the text data. Topic modeling leverages document-level word co-occurrence patterns to learn latent topics of each document. While …

DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations

2024 · arXiv (Cornell University)

Language models pre-trained on general text have achieved impressive results in diverse fields. Yet, the distinct linguistic characteristics of task-oriented dialogues (TOD) compared to general text limit the practical utility of existing language models. Current …

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

2018

Distant supervision has become the standard method for relation extraction. However, even though it is an efficient method, it does not come at no cost-The resulted distantly-supervised training samples are often very noisy. To combat …

ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

2021

Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume …