activity
20202022
most citedRevealing the Myth of Higher-Order Inference in Coreference Resolution

10 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2022

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…

cs.CL2022

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL20213 cited

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…

cs.CL202010 cited

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…