Masoud Kiaeeha

Name
Masoud Kiaeeha
Position
Doctoral Researcher
Affiliation
UKP-TUDA
E-Mail
kiaeeha(at)ukp.informatik.tu-darmstadt.de
Phone

+49 (6151) 16 - 21677

Fax
+49 (6151) 16 - 25295
Office
S2|02 B106
Address

TU Darmstadt - FB 20
Hochschulstraße 10
64289 Darmstadt
Germany

 

Social web

google scholar
GitHub

Work Information

I am currently working on creating a unified graph framework for representing sense linking information obtained from heterogeneous knowledge bases. This graph framework will provide a base for graph representation and manipulation and will contain common graph algorithms that will be required to implement state-of-the-art graph based word sense disambiguation and word sense alignment algorithms.

Research Interests

  • Graph based representation of lexical-semantic resources
  • Word sense disambiguation
  • Word sense alignment

Publications

Additional Attributes

Type

EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION

Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov, Masoud Kiaeeha, Iryna Gurevych
In: Proceedings of the International Workshop on Semantic Evaluation, p. 482--486, August 2017
ACL
[Inproceedings]

Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data

Mohammad Aliannejadi, Masoud Kiaeeha, Shahram Khadivi, Saeed Shiry Ghidary
In: Australasian Language Technology Association Workshop, p. 98--103, November 2014
[Online-Edition: http://www.aclweb.org/anthology/U14-1012]
[Inproceedings]

Biographical Information

I hold a M.Sc. in Computer Science (software engineering major) from Sharif University of Technology, Iran.

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