activity
20192022
most citedQuery Focused Multi-Document Summarization with Distant Supervision

10 citations · 28 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL20223 cited

Text Summarization with Oracle Expectation

Yumo Xu, Mirella Lapata

Extractive summarization produces summaries by identifying and concatenating the most important sentences in a document. Since most summarization datasets do not come with gold lab…

cs.CL20218 cited

Text Summarization with Latent Queries

Yumo Xu, Mirella Lapata

The availability of large-scale datasets has driven the development of neural models that create summaries from single documents, for generic purposes. When using a summarization s…

cs.CL2020

Generating Query Focused Summaries from Query-Free Resources

Yumo Xu, Mirella Lapata

The availability of large-scale datasets has driven the development of neural models that create generic summaries from single or multiple documents. In this work we consider query…

cs.CL20207 cited

Meta Dialogue Policy Learning

Yumo Xu, Chenguang Zhu, Baolin Peng +1

Dialog policy determines the next-step actions for agents and hence is central to a dialogue system. However, when migrated to novel domains with little data, a policy model can fa…

cs.CL202010 cited

Query Focused Multi-Document Summarization with Distant Supervision

Yumo Xu, Mirella Lapata

We consider the problem of better modeling query-cluster interactions to facilitate query focused multi-document summarization (QFS). Due to the lack of training data, existing wor…

cs.CL2020

Bootstrapping a Crosslingual Semantic Parser

Tom Sherborne, Yumo Xu, Mirella Lapata

Recent progress in semantic parsing scarcely considers languages other than English but professional translation can be prohibitively expensive. We adapt a semantic parser trained…