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09/14/2023
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
Starting from the resurgence of deep learning, vision-language models (V...
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07/03/2023
CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Construction
In order to construct or extend entity-centric and event-centric knowled...
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06/10/2023
Human-in-the-Loop through Chain-of-Thought
While the emergence of powerful language models along with Chain-of-thou...
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05/22/2023
Enhance Reasoning Ability of Visual-Language Models via Large Language Models
Pre-trained visual language models (VLM) have shown excellent performanc...
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05/14/2023
Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation
Knowledge distillation (KD) is a promising technique for model compressi...
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02/20/2023
Zero-Shot Information Extraction via Chatting with ChatGPT
Zero-shot information extraction (IE) aims to build IE systems from the ...
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12/17/2022
Joint Information Extraction with Cross-Task and Cross-Instance High-Order Modeling
Prior works on Information Extraction (IE) typically predict different t...
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12/01/2022
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts
If scientific discovery is one of the main driving forces of human progr...
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09/07/2022
VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene Graph
Semantic Web technology has successfully facilitated many RDF models wit...
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03/27/2022
Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships
Understanding realistic visual scene images together with language descr...
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10/28/2021
Diversity-Driven Combination for Grammatical Error Correction
Grammatical error correction (GEC) is the task of detecting and correcti...
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08/05/2021
Robust Transfer Learning with Pretrained Language Models through Adapters
Transfer learning with large pretrained transformer-based language model...
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03/12/2021
Constrained Text Generation with Global Guidance – Case Study on CommonGen
This paper studies constrained text generation, which is to generate sen...
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10/28/2020
Second-Order Unsupervised Neural Dependency Parsing
Most of the unsupervised dependency parsers are based on first-order pro...
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10/04/2020
Adversarial Attack and Defense of Structured Prediction Models
Building an effective adversarial attacker and elaborating on countermea...
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10/04/2020
A Survey of Unsupervised Dependency Parsing
Syntactic dependency parsing is an important task in natural language pr...
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08/02/2017
Dependency Grammar Induction with Neural Lexicalization and Big Training Data
We study the impact of big models (in terms of the degree of lexicalizat...
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08/02/2017