activity
20182021
most citedCode-Switching for Enhancing NMT with Pre-Specified Translation

43 citations · 124 across the 17 of their papers we have counts for

collaborators

19 papers

cs.CL2021

Exploiting Rich Syntax for Better Knowledge Base Question Answering

Pengju Zhang, Yonghui Jia, Muhua Zhu +2

Recent studies on Knowledge Base Question Answering (KBQA) have shown great progress on this task via better question understanding. Previous works for encoding questions mainly fo…

cs.CL20212 cited

Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction

Jinpeng Zhang, Baijun Ji, Nini Xiao +4

Bilingual Lexicon Induction (BLI) aims to map words in one language to their translations in another, and is typically through learning linear projections to align monolingual word…

cs.CL20213 cited

Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots

Juntao Li, Chang Liu, Chongyang Tao +4

Existing multi-turn context-response matching methods mainly concentrate on obtaining multi-level and multi-dimension representations and better interactions between context uttera…

cs.CL20202 cited

Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction

Tong Zhu, Haitao Wang, Junjie Yu +4

In recent years, distantly-supervised relation extraction has achieved a certain success by using deep neural networks. Distant Supervision (DS) can automatically generate large-sc…

cs.CL2020

Token Drop mechanism for Neural Machine Translation

Huaao Zhang, Shigui Qiu, Xiangyu Duan +1

Neural machine translation with millions of parameters is vulnerable to unfamiliar inputs. We propose Token Drop to improve generalization and avoid overfitting for the NMT model.…

cs.CL20209 cited

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences

Xiangyu Duan, Baijun Ji, Hao Jia +5

In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary. Motivated by the abi…