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09/19/2023
Toward Unified Controllable Text Generation via Regular Expression Instruction
Controllable text generation is a fundamental aspect of natural language...
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09/04/2023
Benchmarking Large Language Models in Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) is a promising approach for mitigat...
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06/08/2023
ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases
Enabling large language models to effectively utilize real-world tools i...
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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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05/16/2023
DLUE: Benchmarking Document Language Understanding
Understanding documents is central to many real-world tasks but remains ...
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05/16/2023
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
Memory is one of the most essential cognitive functions serving as a rep...
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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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03/14/2023
The Life Cycle of Knowledge in Big Language Models: A Survey
Knowledge plays a critical role in artificial intelligence. Recently, th...
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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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05/12/2022
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction
Entity matching (EM) is the most critical step for entity resolution (ER...
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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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03/23/2022
Pre-training to Match for Unified Low-shot Relation Extraction
Low-shot relation extraction (RE) aims to recognize novel relations with...
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03/23/2022
ECO v1: Towards Event-Centric Opinion Mining
Events are considered as the fundamental building blocks of the world. M...
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03/23/2022
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View
Prompt-based probing has been widely used in evaluating the abilities of...
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03/23/2022
Few-shot Named Entity Recognition with Self-describing Networks
Few-shot NER needs to effectively capture information from limited insta...
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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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09/13/2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
Event detection has long been troubled by the trigger curse: overfitting...
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09/13/2021
Fine-grained Entity Typing via Label Reasoning
Conventional entity typing approaches are based on independent classific...
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07/19/2021
Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision
Despite recent success in machine reading comprehension (MRC), learning ...
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06/17/2021
Element Intervention for Open Relation Extraction
Open relation extraction aims to cluster relation instances referring to...
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06/17/2021
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model
Denoising is the essential step for distant supervision based named enti...
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06/17/2021
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
Distant supervision tackles the data bottleneck in NER by automatically ...
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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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06/17/2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
Previous literatures show that pre-trained masked language models (MLMs)...
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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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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
