5 citations · 20 across the 15 of their papers we have counts for
15 papers
Chinese Essay Rhetoric Recognition Using LoRA, In-context Learning and Model Ensemble
Yuxuan Lai, Xiajing Wang, Chen Zheng
Rhetoric recognition is a critical component in automated essay scoring. By identifying rhetorical elements in student writing, AI systems can better assess linguistic and higher-o…
Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answering
Jiuheng Lin, Yuxuan Lai, Yansong Feng
Conditional question answering (CQA) is an important task that aims to find probable answers and identify missing conditions. Existing approaches struggle with CQA due to two chall…
Teaching Text-to-Image Models to Communicate in Dialog
Xiaowen Sun, Jiazhan Feng, Yuxuan Wang +3
A picture is worth a thousand words, thus, it is crucial for conversational agents to understand, perceive, and effectively respond with pictures. However, we find that directly em…
Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints
Chen Zheng, Huan Zhang, Yan Zhao +1
Coherence is a crucial aspect of evaluating text readability and can be assessed through two primary factors when evaluating an essay in a scoring scenario. The first factor is log…
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension
Chen Zhang, Jiuheng Lin, Xiao Liu +3
The multi-answer phenomenon, where a question may have multiple answers scattered in the document, can be well handled by humans but is challenging enough for machine reading compr…
Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension
Chen Zhang, Yuxuan Lai, Yansong Feng +3
Although many large-scale knowledge bases (KBs) claim to contain multilingual information, their support for many non-English languages is often incomplete. This incompleteness giv…
Event Transition Planning for Open-ended Text Generation
Qintong Li, Piji Li, Wei Bi +3
Open-ended text generation tasks, such as dialogue generation and story completion, require models to generate a coherent continuation given limited preceding context. The open-end…
Extract, Integrate, Compete: Towards Verification Style Reading Comprehension
Chen Zhang, Yuxuan Lai, Yansong Feng +1
In this paper, we present a new verification style reading comprehension dataset named VGaokao from Chinese Language tests of Gaokao. Different from existing efforts, the new datas…
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction
Quzhe Huang, Shengqi Zhu, Yansong Feng +3
Document-level Relation Extraction (RE) is a more challenging task than sentence RE as it often requires reasoning over multiple sentences. Yet, human annotators usually use a smal…
Why Machine Reading Comprehension Models Learn Shortcuts?
Yuxuan Lai, Chen Zhang, Yansong Feng +2
Recent studies report that many machine reading comprehension (MRC) models can perform closely to or even better than humans on benchmark datasets. However, existing works indicate…
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models
Yuxuan Lai, Yijia Liu, Yansong Feng +2
Chinese pre-trained language models usually process text as a sequence of characters, while ignoring more coarse granularity, e.g., words. In this work, we propose a novel pre-trai…
Domain Adaptation for Semantic Parsing
Zechang Li, Yuxuan Lai, Yansong Feng +1
Recently, semantic parsing has attracted much attention in the community. Although many neural modeling efforts have greatly improved the performance, it still suffers from the dat…
Integrating Relation Constraints with Neural Relation Extractors
Yuan Ye, Yansong Feng, Bingfeng Luo +2
Recent years have seen rapid progress in identifying predefined relationship between entity pairs using neural networks NNs. However, such models often make predictions for each en…
A Sketch-Based System for Semantic Parsing
Zechang Li, Yuxuan Lai, Yuxi Xie +2
This paper presents our semantic parsing system for the evaluation task of open domain semantic parsing in NLPCC 2019. Many previous works formulate semantic parsing as a sequence-…
Lattice CNNs for Matching Based Chinese Question Answering
Yuxuan Lai, Yansong Feng, Xiaohan Yu +3
Short text matching often faces the challenges that there are great word mismatch and expression diversity between the two texts, which would be further aggravated in languages lik…