activity
20122025
most citedG-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

88 citations · 489 across the 92 of their papers we have counts for

collaborators
Showing 2016Show all

6 papers · 1 filter

cs.GT20168 cited

Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices

Yang Liu, Yiling Chen

Peer prediction mechanisms are often adopted to elicit truthful contributions from crowd workers when no ground-truth verification is available. Recently, mechanisms of this type h…

cs.CL201630 cited

Neural Machine Translation with Pivot Languages

Yong Cheng, Yang Liu, Qian Yang +2

While recent neural machine translation approaches have delivered state-of-the-art performance for resource-rich language pairs, they suffer from the data scarcity problem for reso…

cs.CL20163 cited

Chinese Event Extraction Using DeepNeural Network with Word Embedding

Yandi Xia, Yang Liu

A lot of prior work on event extraction has exploited a variety of features to represent events. Such methods have several drawbacks: 1) the features are often specific for a parti…

cs.CL20168 cited

Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention

Yang Liu, Sujian Li

Recognizing implicit discourse relations is a challenging but important task in the field of Natural Language Processing. For such a complex text processing task, different from pr…

cs.CL201657 cited

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation

Jinsong Su, Zhixing Tan, Deyi Xiong +3

Neural machine translation (NMT) heavily relies on word-level modelling to learn semantic representations of input sentences. However, for languages without natural word delimiters…

cs.CL20161 cited

To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation

Christian Hadiwinoto, Yang Liu, Hwee Tou Ng

Reordering poses a major challenge in machine translation (MT) between two languages with significant differences in word order. In this paper, we present a novel reordering approa…