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Linfeng Song

5 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL5
ORCID 0000-0002-3502-3574
same name
  • Linfeng Song — 30 papers, h 24
  • Linfeng Song — 30 papers, h 15
  • Linfeng Song — 13 papers, h 16
  • Linfeng Song — 1 paper
  • Linfeng Song — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSearch-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production

14 citations · 34 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2023★ 14 cited

Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production

Ante Wang, Linfeng Song, Qi Liu +5

Knowledge-aided dialogue response generation aims at augmenting chatbots with relevant external knowledge in the hope of generating more informative responses. The majority of prev…

cs.CL2023

Friend-training: Learning from Models of Different but Related Tasks

Mian Zhang, Lifeng Jin, Linfeng Song +3

Current self-training methods such as standard self-training, co-training, tri-training, and others often focus on improving model performance on a single task, utilizing differenc…

cs.CL2016★ 12 cited

Question Generation from a Knowledge Base with Web Exploration

Linfeng Song, Lin Zhao

Question generation from a knowledge base (KB) is the task of generating questions related to the domain of the input KB. We propose a system for generating fluent and natural ques…

cs.CL2016★ 8 cited

AMR-to-text generation as a Traveling Salesman Problem

Linfeng Song, Yue Zhang, Xiaochang Peng +2

The task of AMR-to-text generation is to generate grammatical text that sustains the semantic meaning for a given AMR graph. We at- tack the task by first partitioning the AMR grap…

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