activity
20182023
most citedHow Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks

36 citations · 74 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.LG2019★ 1 cited

Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis

Minlong Peng, Qi Zhang, Xuanjing Huang

Cross-domain sentiment analysis is currently a hot topic in the research and engineering areas. One of the most popular frameworks in this field is the domain-invariant representat…

cs.CL2019★ 3 cited

Simplify the Usage of Lexicon in Chinese NER

Ruotian Ma, Minlong Peng, Qi Zhang +1

Recently, many works have tried to augment the performance of Chinese named entity recognition (NER) using word lexicons. As a representative, Lattice-LSTM (Zhang and Yang, 2018) h…

cs.CL2019★ 12 cited

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning

Minlong Peng, Xiaoyu Xing, Qi Zhang +2

In this work, we explore the way to perform named entity recognition (NER) using only unlabeled data and named entity dictionaries. To this end, we formulate the task as a positive…

cs.CL2019★ 2 cited

Learning Task-specific Representation for Novel Words in Sequence Labeling

Minlong Peng, Qi Zhang, Xiaoyu Xing +3

Word representation is a key component in neural-network-based sequence labeling systems. However, representations of unseen or rare words trained on the end task are usually poor…

cs.LG2019★ 7 cited

Address Instance-level Label Prediction in Multiple Instance Learning

Minlong Peng, Qi Zhang

\textit{Multiple Instance Learning} (MIL) is concerned with learning from bags of instances, where only bag labels are given and instance labels are unknown. Existent approaches in…