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Fei Liu

The University of Melbourne

4 papers hereh-index 364.6k citations195 works total

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

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • stat.AP1
affiliations
  • The University of Melbourne
Homepage
same name
  • Fei Liu — 39 papers, h 34
  • Fei Liu — 35 papers, h 73
  • Fei Liu — 31 papers, h 16
  • Fei Liu — 11 papers, h 8
  • Fei Liu — 11 papers, h 7
  • Fei Liu — 10 papers, 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

activity
20162023
most citedGated End-to-End Memory Networks

10 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

stat.AP2023

State estimation for one-dimensional agro-hydrological processes with model mismatch

Zhuangyu Liu, Jinfeng Liu, Shunyi Zhao +2

The importance of accurate soil moisture data for the development of modern closed-loop irrigation systems cannot be overstated. Due to the diversity of soil, it is difficult to ob…

cs.CL2022★ 2 cited

DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue

William Held, Christopher Hidey, Fei Liu +4

Modern virtual assistants use internal semantic parsing engines to convert user utterances to actionable commands. However, prior work has demonstrated that semantic parsing is a d…

cs.CL2016★ 10 cited

Gated End-to-End Memory Networks

Julien Perez, Fei Liu

Machine reading using differentiable reasoning models has recently shown remarkable progress. In this context, End-to-End trainable Memory Networks, MemN2N, have demonstrated promi…

cs.CL2016★ 3 cited

A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts

Fei Liu, Julien Perez, Scott Nowson

Many methods have been used to recognize author personality traits from text, typically combining linguistic feature engineering with shallow learning models, e.g. linear regressio…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.