36 citations · 53 across the 11 of their papers we have counts for
11 papers
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach
Liyan Xu, Chenwei Zhang, Xian Li +2
We present a new task setting for attribute mining on e-commerce products, serving as a practical solution to extract open-world attributes without extensive human intervention. Ou…
Online Coreference Resolution for Dialogue Processing: Improving Mention-Linking on Real-Time Conversations
Liyan Xu, Jinho D. Choi
This paper suggests a direction of coreference resolution for online decoding on actively generated input such as dialogue, where the model accepts an utterance and its past contex…
Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction
Liyan Xu, Jinho D. Choi
We target on the document-level relation extraction in an end-to-end setting, where the model needs to jointly perform mention extraction, coreference resolution (COREF) and relati…
Improving Downstream Task Performance by Treating Numbers as Entities
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang +2
Numbers are essential components of text, like any other word tokens, from which natural language processing (NLP) models are built and deployed. Though numbers are typically not a…
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT
Liyan Xu, Yile Gu, Jari Kolehmainen +5
Second-pass rescoring is an important component in automatic speech recognition (ASR) systems that is used to improve the outputs from a first-pass decoder by implementing a lattic…
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph
Liyan Xu, Xuchao Zhang, Bo Zong +6
We target the task of cross-lingual Machine Reading Comprehension (MRC) in the direct zero-shot setting, by incorporating syntactic features from Universal Dependencies (UD), and t…
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
Liyan Xu, Xuchao Zhang, Xujiang Zhao +3
Recent multilingual pre-trained language models have achieved remarkable zero-shot performance, where the model is only finetuned on one source language and directly evaluated on t…
Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues
Liyan Xu, Jinho D. Choi
We present an effective system adapted from the end-to-end neural coreference resolution model, targeting on the task of anaphora resolution in dialogues. Three aspects are specifi…
ELIT: Emory Language and Information Toolkit
Han He, Liyan Xu, Jinho D. Choi
We introduce ELIT, the Emory Language and Information Toolkit, which is a comprehensive NLP framework providing transformer-based end-to-end models for core tasks with a special fo…
Revealing the Myth of Higher-Order Inference in Coreference Resolution
Liyan Xu, Jinho D. Choi
This paper analyzes the impact of higher-order inference (HOI) on the task of coreference resolution. HOI has been adapted by almost all recent coreference resolution models withou…
Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning
Liyan Xu, Julien Hogan, Rachel E. Patzer +1
This paper presents a reinforcement learning approach to extract noise in long clinical documents for the task of readmission prediction after kidney transplant. We face the challe…