activity
20172021
most citedHiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion

21 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021

DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization

Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi +1

Identifying relevant knowledge to be used in conversational systems that are grounded in long documents is critical to effective response generation. We introduce a knowledge ident…

cs.CL2021

Automatic Document Sketching: Generating Drafts from Analogous Texts

Zeqiu Wu, Michel Galley, Chris Brockett +2

The advent of large pre-trained language models has made it possible to make high-quality predictions on how to add or change a sentence in a document. However, the high branching…

cs.CL201921 cited

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion

Jiaming Shen, Zeqiu Wu, Dongming Lei +5

Taxonomies are of great value to many knowledge-rich applications. As the manual taxonomy curation costs enormous human effects, automatic taxonomy construction is in great demand.…

cs.CL2019

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble

Jiaming Shen, Zeqiu Wu, Dongming Lei +3

Corpus-based set expansion (i.e., finding the "complete" set of entities belonging to the same semantic class, based on a given corpus and a tiny set of seeds) is a critical task i…

cs.CL2017

Indirect Supervision for Relation Extraction using Question-Answer Pairs

Zeqiu Wu, Xiang Ren, Frank F. Xu +2

Automatic relation extraction (RE) for types of interest is of great importance for interpreting massive text corpora in an efficient manner. Traditional RE models have heavily rel…