activity
20162024
most citedDeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

154 citations · 498 across the 36 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

cs.CL2020

Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection

Hoang Nguyen, Chenwei Zhang, Congying Xia +1

Few-shot Intent Detection is challenging due to the scarcity of available annotated utterances. Although recent works demonstrate that multi-level matching plays an important role…

cs.CL2020★ 2 cited

Semi-supervised Relation Extraction via Incremental Meta Self-Training

Xuming Hu, Chenwei Zhang, Fukun Ma +3

To alleviate human efforts from obtaining large-scale annotations, Semi-Supervised Relation Extraction methods aim to leverage unlabeled data in addition to learning from limited s…

cs.AI2020★ 11 cited

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

Ye Liu, Shaika Chowdhury, Chenwei Zhang +2

Healthcare question answering assistance aims to provide customer healthcare information, which widely appears in both Web and mobile Internet. The questions usually require the as…

cs.AI2020★ 69 cited

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Xin Luna Dong, Xiang He, Andrey Kan +19

Can one build a knowledge graph (KG) for all products in the world? Knowledge graphs have firmly established themselves as valuable sources of information for search and question a…

cs.CL2020★ 18 cited

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

Yuning Mao, Tong Zhao, Andrey Kan +4

Taxonomies have found wide applications in various domains, especially online for item categorization, browsing, and search. Despite the prevalent use of online catalog taxonomies,…

cs.CL2020★ 35 cited

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection

Congying Xia, Chenwei Zhang, Hoang Nguyen +2

In this paper, we formulate a more realistic and difficult problem setup for the intent detection task in natural language understanding, namely Generalized Few-Shot Intent Detecti…