Search Results for author: Zixia Jia

Found 9 papers, 7 papers with code

SHARP: Search-Based Adversarial Attack for Structured Prediction

no code implementations Findings (NAACL) 2022 Liwen Zhang, Zixia Jia, Wenjuan Han, Zilong Zheng, Kewei Tu

Adversarial attack of structured prediction models faces various challenges such as the difficulty of perturbing discrete words, the sentence quality issue, and the sensitivity of outputs to small perturbations.

Adversarial Attack Dependency Parsing +4

Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models

1 code implementation13 Nov 2023 Junpeng Li, Zixia Jia, Zilong Zheng

Document-level Relation Extraction (DocRE), which aims to extract relations from a long context, is a critical challenge in achieving fine-grained structural comprehension and generating interpretable document representations.

Document-level Relation Extraction In-Context Learning +4

Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field

1 code implementation17 Dec 2022 Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu

Prior works on joint Information Extraction (IE) typically model instance (e. g., event triggers, entities, roles, relations) interactions by representation enhancement, type dependencies scoring, or global decoding.

Variational Inference

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition

1 code implementation NAACL 2022 Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu

As text representations take the most important role in MNER, in this paper, we propose {\bf I}mage-{\bf t}ext {\bf A}lignments (ITA) to align image features into the textual space, so that the attention mechanism in transformer-based pretrained textual embeddings can be better utilized.

Multi-modal Named Entity Recognition named-entity-recognition +1

Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders

1 code implementation ACL 2020 Zixia Jia, Youmi Ma, Jiong Cai, Kewei Tu

Semantic dependency parsing, which aims to find rich bi-lexical relationships, allows words to have multiple dependency heads, resulting in graph-structured representations.

Dependency Parsing Semantic Dependency Parsing +1

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