Frank F. Xu

Entropy-Based Subword Mining with an Application to Word Embeddings

2018

Recent literature has shown a wide variety of benefits to mapping traditional onehot representations of words and phrases to lower-dimensional real-valued vectors known as word embeddings. Traditionally, most word embedding algorithms treat each word as …

Data-to-Text Generation with Style Imitation

2019 · arXiv (Cornell University)

Recent neural approaches to data-to-text generation have mostly focused on improving content fidelity while lacking explicit control over writing styles (e.g., word choices, sentence structures). More traditional systems use templates to determine the realization of …

Empower Sequence Labeling with Task-Aware Neural Language Model

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Linguistic sequence labeling is a general approach encompassing a variety of problems, such as part-of-speech tagging and named entity recognition. Recent advances in neural networks (NNs) make it possible to build reliable models without handcrafted …

Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media

2017

In this paper, we present our multichannel neural architecture for recognizing emerging named entity in social media messages, which we applied in the Novel and Emerging Named Entity Recognition shared task at the EMNLP 2017 …

Empower Sequence Labeling with Task-Aware Neural Language Model

2017 · arXiv (Cornell University)

Linguistic sequence labeling is a general modeling approach that encompasses a variety of problems, such as part-of-speech tagging and named entity recognition. Recent advances in neural networks (NNs) make it possible to build reliable models …

Active Retrieval Augmented Generation

2023

Zhengbao Jiang, Frank Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.