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20082023
most citedA Survey on the Fairness of Recommender Systems

359 citations · 2k across the 127 of their papers we have counts for

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21 papers · 1 filter

cs.CL2023★ 1 cited

XNLP: An Interactive Demonstration System for Universal Structured NLP

Hao Fei, Meishan Zhang, Min Zhang +1

Structured Natural Language Processing (XNLP) is an important subset of NLP that entails understanding the underlying semantic or syntactic structure of texts, which serves as a fo…

cs.CL2023★ 2 cited

Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction

Hao Fei, Meishan Zhang, Min Zhang +1

Latest efforts on cross-lingual relation extraction (XRE) aggressively leverage the language-consistent structural features from the universal dependency (UD) resource, while they…

cs.CL2023

Disambiguated Lexically Constrained Neural Machine Translation

Jinpeng Zhang, Nini Xiao, Ke Wang +4

Lexically constrained neural machine translation (LCNMT), which controls the translation generation with pre-specified constraints, is important in many practical applications. Cur…

cs.CL2023★ 20 cited

Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination

Hao Fei, Qian Liu, Meishan Zhang +2

In this work, we investigate a more realistic unsupervised multimodal machine translation (UMMT) setup, inference-time image-free UMMT, where the model is trained with source-text…

cs.CL2023

A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text

Yunxin Li, Baotian Hu, Yuxin Ding +2

Pretrained Vision-Language Models (VLMs) have achieved remarkable performance in image retrieval from text. However, their performance drops drastically when confronted with lingui…

cs.CL2023★ 1 cited

CopyNE: Better Contextual ASR by Copying Named Entities

Shilin Zhou, Zhenghua Li, Yu Hong +3

End-to-end automatic speech recognition (ASR) systems have made significant progress in general scenarios. However, it remains challenging to transcribe contextual named entities (…