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researcher

Mo Yu

IBM Research

56 papers hereh-index 4211.5k citations95 works total

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

author position
  • first author5
  • middle author46
  • last author3

Across the 54 of 56 papers where every author was matched, so the position is known.

fields
  • cs.CL36
  • cs.LG9
  • cs.CV6
  • cs.AI5
affiliations
  • IBM Research
Homepage
same name
  • Mo Yu — 51 papers, h 22
  • Mo Yu — 4 papers, h 3
  • Mo Yu — 2 papers, h 2
  • Mo Yu — 1 paper
  • Mo Yu — 1 paper
  • Mo Yu — 1 paper, h 2

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 citedA Structured Self-attentive Sentence Embedding

1.5k citations · 2.9k across the 33 of their papers we have counts for

collaborators
Showing 2017 · cs.CLShow all

4 papers · 2 filters

cs.CL2017★ 87 cited

R3: Reinforced Reader-Ranker for Open-Domain Question Answering

Shuohang Wang, Mo Yu, Xiaoxiao Guo +7

In recent years researchers have achieved considerable success applying neural network methods to question answering (QA). These approaches have achieved state of the art results i…

cs.CL2017★ 53 cited

Improved Neural Relation Detection for Knowledge Base Question Answering

Mo Yu, Wenpeng Yin, Kazi Saidul Hasan +3

Relation detection is a core component for many NLP applications including Knowledge Base Question Answering (KBQA). In this paper, we propose a hierarchical recurrent neural netwo…

cs.CL2017★ 1.5k cited

A Structured Self-attentive Sentence Embedding

Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos +4

This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention. Instead of using a vector, we use a 2-D matrix to represent the em…

cs.CL2017★ 895 cited

Comparative Study of CNN and RNN for Natural Language Processing

Wenpeng Yin, Katharina Kann, Mo Yu +1

Deep neural networks (DNN) have revolutionized the field of natural language processing (NLP). Convolutional neural network (CNN) and recurrent neural network (RNN), the two main t…

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