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20172022
most citedCascade Ranking for Operational E-commerce Search

111 citations · 426 across the 25 of their papers we have counts for

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23 papers · 1 filter

cs.CL2022

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?

Pei Zhang, Baosong Yang, Haoran Wei +4

Neural machine translation (NMT) is often criticized for failures that happen without awareness. The lack of competency awareness makes NMT untrustworthy. This is in sharp contrast…

cs.CL2022

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach

Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied +2

Relation extraction has the potential for large-scale knowledge graph construction, but current methods do not consider the qualifier attributes for each relation triplet, such as…

cs.CL20222 cited

ConNER: Consistency Training for Cross-lingual Named Entity Recognition

Ran Zhou, Xin Li, Lidong Bing +3

Cross-lingual named entity recognition (NER) suffers from data scarcity in the target languages, especially under zero-shot settings. Existing translate-train or knowledge distilla…

cs.CL20226 cited

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

Wanwei He, Yinpei Dai, Min Yang +4

Recently, pre-training methods have shown remarkable success in task-oriented dialog (TOD) systems. However, most existing pre-trained models for TOD focus on either dialog underst…

cs.CL20224 cited

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction

Yew Ken Chia, Lidong Bing, Soujanya Poria +1

Despite the importance of relation extraction in building and representing knowledge, less research is focused on generalizing to unseen relations types. We introduce the task sett…

cs.CL20211 cited

DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings

Che Liu, Rui Wang, Jinghua Liu +3

Learning sentence embeddings from dialogues has drawn increasing attention due to its low annotation cost and high domain adaptability. Conventional approaches employ the siamese-n…