10 citations · 14 across the 11 of their papers we have counts for
11 papers
From Text to CQL: Bridging Natural Language and Corpus Search Engine
Luming Lu, Jiyuan An, Yujie Wang +8
Natural Language Processing (NLP) technologies have revolutionized the way we interact with information systems, with a significant focus on converting natural language queries int…
Cross-domain Chinese Sentence Pattern Parsing
Jingsi Yu, Cunliang Kong, Liner Yang +6
Sentence Pattern Structure (SPS) parsing is a syntactic analysis method primarily employed in language teaching.Existing SPS parsers rely heavily on textbook corpora for training,…
OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models
Yang Liu, Meng Xu, Shuo Wang +7
Modern large language models (LLMs) should generally benefit individuals from various cultural backgrounds around the world. However, most recent advanced generative evaluation ben…
Lexical Complexity Controlled Sentence Generation
Jinran Nie, Liner Yang, Yun Chen +3
Text generation rarely considers the control of lexical complexity, which limits its more comprehensive practical application. We introduce a novel task of lexical complexity contr…
COMPILING: A Benchmark Dataset for Chinese Complexity Controllable Definition Generation
Jiaxin Yuan, Cunliang Kong, Chenhui Xie +2
The definition generation task aims to generate a word's definition within a specific context automatically. However, owing to the lack of datasets for different complexities, the…
LitMind Dictionary: An Open-Source Online Dictionary
Cunliang Kong, Xuezhi Fang, Liner Yang +2
Dictionaries can help language learners to learn vocabulary by providing definitions of words. Since traditional dictionaries present word senses as discrete items in predefined in…
BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling
Cunliang Kong, Yujie Wang, Ruining Chong +4
This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack, achieving 1st on Italian, 2…
Multitasking Framework for Unsupervised Simple Definition Generation
Cunliang Kong, Yun Chen, Hengyuan Zhang +2
The definition generation task can help language learners by providing explanations for unfamiliar words. This task has attracted much attention in recent years. We propose a novel…
YACLC: A Chinese Learner Corpus with Multidimensional Annotation
Yingying Wang, Cunliang Kong, Liner Yang +8
Learner corpus collects language data produced by L2 learners, that is second or foreign-language learners. This resource is of great relevance for second language acquisition rese…
Toward Cross-Lingual Definition Generation for Language Learners
Cunliang Kong, Liner Yang, Tianzuo Zhang +4
Generating dictionary definitions automatically can prove useful for language learners. However, it's still a challenging task of cross-lingual definition generation. In this work,…
Incorporating Sememes into Chinese Definition Modeling
Liner Yang, Cunliang Kong, Yun Chen +3
Chinese definition modeling is a challenging task that generates a dictionary definition in Chinese for a given Chinese word. To accomplish this task, we construct the Chinese Defi…