Vision, deduction and alignment: An empirical study on multi-modal knowledge graph alignment
Entity alignment (EA) for knowledge graphs (KGs) plays a critical role in knowledge
engineering. Existing EA methods mostly focus on utilizing the graph structures and entity …
engineering. Existing EA methods mostly focus on utilizing the graph structures and entity …
MESED: A multi-modal entity set expansion dataset with fine-grained semantic classes and hard negative entities
The Entity Set Expansion (ESE) task aims to expand a handful of seed entities with new
entities belonging to the same semantic class. Conventional ESE methods are based on …
entities belonging to the same semantic class. Conventional ESE methods are based on …
Towards real-world writing assistance: A chinese character checking benchmark with faked and misspelled characters
Writing assistance is an application closely related to human life and is also a fundamental
Natural Language Processing (NLP) research field. Its aim is to improve the correctness and …
Natural Language Processing (NLP) research field. Its aim is to improve the correctness and …
A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check
In recent years, Chinese Spelling Check (CSC) has been greatly improved by designing
task-specific pre-training methods or introducing auxiliary tasks, which mostly solve this task …
task-specific pre-training methods or introducing auxiliary tasks, which mostly solve this task …
Mixedit: Revisiting data augmentation and beyond for grammatical error correction
Data Augmentation through generating pseudo data has been proven effective in mitigating
the challenge of data scarcity in the field of Grammatical Error Correction (GEC). Various …
the challenge of data scarcity in the field of Grammatical Error Correction (GEC). Various …
DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory
C Xu, T Lan, C Yu, W Wang, J Gao, Y Ji, Q Dong… - arXiv preprint arXiv …, 2024 - arxiv.org
Lexicon-based constrained decoding approaches aim to control the meaning or style of the
generated text through certain target concepts. Existing approaches over-focus the targets …
generated text through certain target concepts. Existing approaches over-focus the targets …
Investigating Graph Structure Information for Entity Alignment with Dangling Cases
Entity alignment (EA) aims to discover the equivalent entities in different knowledge graphs
(KGs), which play an important role in knowledge engineering. Recently, EA with dangling …
(KGs), which play an important role in knowledge engineering. Recently, EA with dangling …
EXCGEC: A Benchmark of Edit-wise Explainable Chinese Grammatical Error Correction
Existing studies explore the explainability of Grammatical Error Correction (GEC) in a limited
scenario, where they ignore the interaction between corrections and explanations. To bridge …
scenario, where they ignore the interaction between corrections and explanations. To bridge …
UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities
Entity Set Expansion (ESE) aims to identify new entities belonging to the same semantic
class as a given set of seed entities. Traditional methods primarily relied on positive seed …
class as a given set of seed entities. Traditional methods primarily relied on positive seed …
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection
Generalized Few-Shot Intent Detection (GFSID) is challenging and realistic because it
needs to categorize both seen and novel intents simultaneously. Previous GFSID methods …
needs to categorize both seen and novel intents simultaneously. Previous GFSID methods …