activity
20162022
most citedChunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations

12 citations · 44 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL20222 cited

SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser

Yue Zhang, Bo Zhang, Zhenghua Li +3

This work proposes a syntax-enhanced grammatical error correction (GEC) approach named SynGEC that effectively incorporates dependency syntactic information into the encoder part o…

cs.CL20221 cited

SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset

Saihao Huang, Lijie Wang, Zhenghua Li +6

As the first session-level Chinese dataset, CHASE contains two separate parts, i.e., 2,003 sessions manually constructed from scratch (CHASE-C), and 3,456 sessions translated from…

cs.IR20226 cited

Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval

Jingtao Zhan, Qingyao Ai, Yiqun Liu +4

Recent advance in Dense Retrieval (DR) techniques has significantly improved the effectiveness of first-stage retrieval. Trained with large-scale supervised data, DR models can enc…

cs.CV20225 cited

Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation

Min Zhang, Siteng Huang, Wenbin Li +1

In this paper, we mainly focus on the problem of how to learn additional feature representations for few-shot image classification through pretext tasks (e.g., rotation or color pe…

cs.CL202212 cited

Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations

Qian Yang, Yunxin Li, Baotian Hu +3

Visual Entailment with natural language explanations aims to infer the relationship between a text-image pair and generate a sentence to explain the decision-making process. Previo…

cs.CL2021

Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models

Zhengzhe Yu, Jiaxin Guo, Minghan Wang +11

Deep encoders have been proven to be effective in improving neural machine translation (NMT) systems, but it reaches the upper bound of translation quality when the number of encod…