Angli Liu


2019

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Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition
Angli Liu | Jingfei Du | Veselin Stoyanov
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Traditional language models are unable to efficiently model entity names observed in text. All but the most popular named entities appear infrequently in text providing insufficient context. Recent efforts have recognized that context can be generalized between entity names that share the same type (e.g., person or location) and have equipped language models with an access to external knowledge base (KB). Our Knowledge-Augmented Language Model (KALM) continues this line of work by augmenting a traditional model with a KB. Unlike previous methods, however, we train with an end-to-end predictive objective optimizing the perplexity of text. We do not require any additional information such as named entity tags. In addition to improving language modeling performance, KALM learns to recognize named entities in an entirely unsupervised way by using entity type information latent in the model. On a Named Entity Recognition (NER) task, KALM achieves performance comparable with state-of-the-art supervised models. Our work demonstrates that named entities (and possibly other types of world knowledge) can be modeled successfully using predictive learning and training on large corpora of text without any additional information.

2018

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Context Models for OOV Word Translation in Low-Resource Languages
Angli Liu | Katrin Kirchhoff
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)

2016

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Effective Crowd Annotation for Relation Extraction
Angli Liu | Stephen Soderland | Jonathan Bragg | Christopher H. Lin | Xiao Ling | Daniel S. Weld
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies