activity
20172023
most citedSyntaxNet Models for the CoNLL 2017 Shared Task

38 citations · 78 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2023

OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement

Yang Gao, Ji Ma, Ivan Korotkov +3

We develop and evaluate multilingual scientific documents similarity measurement models in this work. Such models can be used to find related works in different languages, which ca…

cs.CL2020★ 21 cited

Neural Passage Retrieval with Improved Negative Contrast

Jing Lu, Gustavo Hernandez Abrego, Ji Ma +2

In this paper we explore the effects of negative sampling in dual encoder models used to retrieve passages for automatic question answering. We explore four negative sampling strat…

cs.CL2020★ 7 cited

QURIOUS: Question Generation Pretraining for Text Generation

Shashi Narayan, Gonçalo Simoes, Ji Ma +2

Recent trends in natural language processing using pretraining have shifted focus towards pretraining and fine-tuning approaches for text generation. Often the focus has been on ta…

cs.IR2020★ 6 cited

Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation

Ji Ma, Ivan Korotkov, Yinfei Yang +2

A major obstacle to the wide-spread adoption of neural retrieval models is that they require large supervised training sets to surpass traditional term-based techniques, which are…

cs.CL2018★ 6 cited

State-of-the-art Chinese Word Segmentation with Bi-LSTMs

Ji Ma, Kuzman Ganchev, David Weiss

A wide variety of neural-network architectures have been proposed for the task of Chinese word segmentation. Surprisingly, we find that a bidirectional LSTM model, when combined wi…

cs.CL2017

Natural Language Processing with Small Feed-Forward Networks

Jan A. Botha, Emily Pitler, Ji Ma +5

We show that small and shallow feed-forward neural networks can achieve near state-of-the-art results on a range of unstructured and structured language processing tasks while bein…