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05/18/2023
Learning In-context Learning for Named Entity Recognition
Named entity recognition in real-world applications suffers from the div...
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05/12/2023
Harvesting Event Schemas from Large Language Models
Event schema provides a conceptual, structural and formal language to re...
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05/08/2023
A Drop of Ink may Make a Million Think: The Spread of False Information in Large Language Models
Large language models (LLMs) like ChatGPT have gained increasing promine...
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03/29/2023
ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models
Large language models (LLMs) such as ChatGPT and GPT-4 have made signifi...
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01/09/2023
Universal Information Extraction as Unified Semantic Matching
The challenge of information extraction (IE) lies in the diversity of la...
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03/23/2022
Unified Structure Generation for Universal Information Extraction
Information extraction suffers from its varying targets, heterogeneous s...
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03/15/2022
Procedural Text Understanding via Scene-Wise Evolution
Procedural text understanding requires machines to reason about entity s...
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06/17/2021
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
Event extraction is challenging due to the complex structure of event re...
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06/16/2021
From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
Current event-centric knowledge graphs highly rely on explicit connectiv...
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03/05/2021
Syntactic and Semantic-driven Learning for Open Information Extraction
One of the biggest bottlenecks in building accurate, high coverage neura...
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09/17/2020
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting cou...
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09/17/2020
End-to-End Neural Event Coreference Resolution
Traditional event coreference systems usually rely on pipeline framework...
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04/25/2020
A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
Fine-tuning pretrained model has achieved promising performance on stand...
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12/16/2019
Iterative Dual Domain Adaptation for Neural Machine Translation
Previous studies on the domain adaptation for neural machine translation...
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06/14/2019
Cost-sensitive Regularization for Label Confusion-aware Event Detection
In supervised event detection, most of the mislabeling occurs between a ...
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06/10/2019
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
Sequential labeling-based NER approaches restrict each word belonging to...
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05/01/2018
Adaptive Scaling for Sparse Detection in Information Extraction
This paper focuses on detection tasks in information extraction, where p...
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05/01/2018
Nugget Proposal Networks for Chinese Event Detection
Neural network based models commonly regard event detection as a word-wi...
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01/16/2018