Yajuan Lyu

According to our database1, Yajuan Lyu authored at least 48 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
FactGen: Faithful Text Generation by Factuality-aware Pre-training and Contrastive Ranking Fine-tuning.
J. Artif. Intell. Res., 2023

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.
CoRR, 2023

Mixture-of-Experts for Biomedical Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Neural Knowledge Bank for Pretrained Transformers.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Chain-of-Thought Reasoning in Tabular Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Semantic-Driven Instance Generation for Table Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2023

IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance.
CoRR, 2022

Neural Knowledge Bank for Pretrained Transformers.
CoRR, 2022

Mixture of Experts for Biomedical Question Answering.
CoRR, 2022

EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CLOP: Video-and-Language Pre-Training with Knowledge Regularizations.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Explainable Question Answering based on Semantic Graph by Global Differentiable Learning and Dynamic Adaptive Reasoning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Transition-based Method for Complex Question Understanding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Building Chinese Biomedical Language Models via Multi-Level Text Discrimination.
CoRR, 2021

BDKG at MEDIQA 2021: System Report for the Radiology Report Summarization Task.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Link Prediction on N-ary Relational Facts: A Graph-based Approach.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DuEE: A Large-Scale Dataset for Chinese Event Extraction in Real-World Scenarios.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Multi-view Classification Model for Knowledge Graph Completion.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Knowledge-Enhanced Named Entity Disambiguation for Short Text.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Event Extraction as Multi-turn Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
CoKE: Contextualized Knowledge Graph Embedding.
CoRR, 2019

An Overview of the 2019 Language and Intelligence Challenge.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

DuIE: A Large-Scale Chinese Dataset for Information Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Machine Reading Comprehension Using Structural Knowledge Graph-aware Network.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Answer-focused and Position-aware Neural Question Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Improving Neural Abstractive Document Summarization with Structural Regularization.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications.
CoRR, 2017

2016
Topic Segmentation of Web Documents with Automatic Cue Phrase Identification and BLSTM-CNN.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016


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