activity
20202023
most citedGPT-NER: Named Entity Recognition via Large Language Models

146 citations · 228 across the 21 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.SI2021★ 8 cited

Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors

Zihan Yan, Li Liu, Xin Li +4

Social network alignment aims at aligning person identities across social networks. Embedding based models have been shown effective for the alignment where the structural proximit…

cs.CV2021★ 1 cited

Rethinking the Image Feature Biases Exhibited by Deep CNN Models

Dawei Dai, Yutang Li, Huanan Bao +3

In recent years, convolutional neural networks (CNNs) have been applied successfully in many fields. However, such deep neural models are still regarded as black box in most tasks.…

cs.CL2021★ 25 cited

Interpreting Deep Learning Models in Natural Language Processing: A Review

Xiaofei Sun, Diyi Yang, Xiaoya Li +6

Neural network models have achieved state-of-the-art performances in a wide range of natural language processing (NLP) tasks. However, a long-standing criticism against neural netw…

cs.CL2021

Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding

Joo-Kyung Kim, Guoyin Wang, Sungjin Lee +1

A large-scale conversational agent can suffer from understanding user utterances with various ambiguities such as ASR ambiguity, intent ambiguity, and hypothesis ambiguity. When am…

cs.CL2021★ 2 cited

AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

Xinnuo Xu, Guoyin Wang, Young-Bum Kim +1

Natural Language Generation (NLG) is a key component in a task-oriented dialogue system, which converts the structured meaning representation (MR) to the natural language. For larg…