◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Man Lan

3 papers here

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

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
ORCID 0000-0002-1423-1286
same name
  • Man Lan — 5 papers
  • Man Lan — 1 paper

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 citedAre Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness

4 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2021

A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation

Shen Liu, Meirong Ma, Hao Yuan +3

Pun location is to identify the punning word (usually a word or a phrase that makes the text ambiguous) in a given short text, and pun interpretation is to find out two different m…

cs.CL2021

From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment

Xin Mao, Wenting Wang, Yuanbin Wu +1

Cross-lingual entity alignment (EA) aims to find the equivalent entities between crosslingual KGs, which is a crucial step for integrating KGs. Recently, many GNN-based EA methods…

cs.AI2021★ 4 cited

Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness

Xin Mao, Wenting Wang, Yuanbin Wu +1

Entity alignment (EA) aims to find the equivalent entities in different KGs, which is a crucial step in integrating multiple KGs. However, most existing EA methods have poor scalab…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.