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researcher

Yvette Graham

Trinity College Dublin

4 papers hereh-index 264.5k citations54 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CL4
affiliations
  • Trinity College Dublin
Homepage
same name
  • Yvette Graham — 10 papers, h 11
  • Yvette Graham — 2 papers, h 3
  • Yvette Graham — 2 papers, h 2
  • Yvette Graham — 2 papers, h 2
  • Yvette Graham — 1 paper, h 1

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
20172022
most citedEvaluation of Automatic Video Captioning Using Direct Assessment

28 citations · 52 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2022★ 2 cited

Achieving Reliable Human Assessment of Open-Domain Dialogue Systems

Tianbo Ji, Yvette Graham, Gareth J. F. Jones +2

Evaluation of open-domain dialogue systems is highly challenging and development of better techniques is highlighted time and again as desperately needed. Despite substantial effor…

cs.CL2021

Improving Unsupervised Question Answering via Summarization-Informed Question Generation

Chenyang Lyu, Lifeng Shang, Yvette Graham +3

Question Generation (QG) is the task of generating a plausible question for a given <passage, answer> pair. Template-based QG uses linguistically-informed heuristics to transform d…

cs.CL2018★ 22 cited

Translating Pro-Drop Languages with Reconstruction Models

Longyue Wang, Zhaopeng Tu, Shuming Shi +3

Pronouns are frequently omitted in pro-drop languages, such as Chinese, generally leading to significant challenges with respect to the production of complete translations. To date…

cs.CL2017★ 28 cited

Evaluation of Automatic Video Captioning Using Direct Assessment

Yvette Graham, George Awad, Alan Smeaton

We present Direct Assessment, a method for manually assessing the quality of automatically-generated captions for video. Evaluating the accuracy of video captions is particularly d…

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