activity
20172022
most citedEfficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality

4 citations · 5 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL2022

Boilerplate Detection via Semantic Classification of TextBlocks

Hao Zhang, Jie Wang

We present a hierarchical neural network model called SemText to detect HTML boilerplate based on a novel semantic representation of HTML tags, class names, and text blocks. We tra…

cs.CL20221 cited

Contextual Networks and Unsupervised Ranking of Sentences

Hao Zhang, You Zhou, Jie Wang

We construct a contextual network to represent a document with syntactic and semantic relations between word-sentence pairs, based on which we devise an unsupervised algorithm call…

cs.IR2020

An Unsupervised Semantic Sentence Ranking Scheme for Text Documents

Hao Zhang, Jie Wang

This paper presents Semantic SentenceRank (SSR), an unsupervised scheme for automatically ranking sentences in a single document according to their relative importance. In particul…

cs.CY2018

Effective Predictions of Gaokao Admission Scores for College Applications in Mainland China

Hao Zhang, Jie Wang

Gaokao is the annual academic qualification examination for college admissions in mainland China. Organized by each provincial-level administrative region (PAR), Gaokao takes place…

cs.CL2018

Semantic WordRank: Generating Finer Single-Document Summarizations

Hao Zhang, Jie Wang

We present Semantic WordRank (SWR), an unsupervised method for generating an extractive summary of a single document. Built on a weighted word graph with semantic and co-occurrence…

cs.IR20174 cited

Efficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality

Liqun Shao, Hao Zhang, Ming Jia +1

Our task is to generate an effective summary for a given document with specific realtime requirements. We use the softplus function to enhance keyword rankings to favor important s…