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Mohammad Mehdi Ghanimifard

Doctoral student

Mohammad Mehdi Ghanimifard
Doctoral student
Computational Linguistics
mehdi.ghanimifard@gu.se
+46 31 786 4038

Room number: 113
Postal Address: Box 200, 40530 Göteborg
Visiting Address: Dicksonsgatan 4 , 41256 Göteborg


Linguistics, Logic and Theory of Science unit at Department of Philosophy, Linguistics, Theory of Science (More Information)
Box 200
405 30 Göteborg
www.flov.gu.se
flov@flov.gu.se

Visiting Address: Olof Wijksgatan 6 , 412 55 Göteborg

About Mohammad Mehdi Ghanimifard

 

 

I am PhD candidate in Computational Linguistics. My research area is in modeling language understanding and generation with grounded neural language models. I am interested in examining models which can combine linguistic representations and uncertain perceptual representations in a single framework.

I think compositionality is a core question for understanding. In a sense, understanding by nature is about a generalisation from compositional evidence, when the meaningful and non-symbolic representations (e.g. sensory representations) can be composed into abstract and complex representation.

As a computational matter, neural networks provide scalable building blocks which can use recent hardware technologies and a large amount of data. The most successful areas for these models are in vision and speech understanding. Connecting language with vision and speech understanding requires a different level of compositionality which can be also related to explainability of networks. In this sense, my research is about modeling linguistic compositionality in a computational framework leveraging representations from other modalities.

In addition to my research as PhD student, I was TA for following courses in Master in Language Technology programme in last two years:

  • Embodied and Situated Language Processing (November-January)
  • Statistical Methods for NLP (January to March)
  • Computational Semantics (April-June)

 

 

 

 

 

Latest publications

Learning to Compose Spatial Relations with Grounded Neural Language Models
Mehdi Ghanimifard, Simon Dobnik
Proceedings of IWCS 2017: 12th International Conference on Computational Semantics, Montpellier 19-22 September 2017 / Claire Gardent and Christian Retoré (eds.), Conference paper 2017
Conference paper

"Deep" Learning : Detecting Metaphoricity in Adjective-Noun Pairs
Yuri Bizzoni, Stergios Chatzikyriakidis, Mehdi Ghanimifard
Proceedings of the Workshop on Stylistic Variation, EMNLP2017, ACL, Conference paper 2017
Conference paper

Learning to compose spatial relations with grounded neural language models
Mehdi Ghanimifard, Simon Dobnik
Second International Workshop on Models and Representations in Spatial Cognition (MRSC). Schloss Hohentübingen; Tübingen, Germany; April 06 - 07, 2017, Poster 2017
Poster

Compositionality for Classifiers
Staffan Larsson, Mehdi Ghanimifard, Simon Dobnik
Johanna Björklund, Sara Stymne: SLTC 2016, Conference paper 2016
Conference paper

Enriching Word-sense Embeddings with Translational Context
Mehdi Ghanimifard, Richard Johansson
Proceedings of Recent Advances in Natural Language Processing / edited by Galia Angelova, Kalina Bontcheva, Ruslan Mitkov. International Conference, Hissar, Bulgaria 7–9 September, 2015, Conference paper 2015
Conference paper

Showing 1 - 5 of 5

2017

Learning to Compose Spatial Relations with Grounded Neural Language Models
Mehdi Ghanimifard, Simon Dobnik
Proceedings of IWCS 2017: 12th International Conference on Computational Semantics, Montpellier 19-22 September 2017 / Claire Gardent and Christian Retoré (eds.), Conference paper 2017
Conference paper

"Deep" Learning : Detecting Metaphoricity in Adjective-Noun Pairs
Yuri Bizzoni, Stergios Chatzikyriakidis, Mehdi Ghanimifard
Proceedings of the Workshop on Stylistic Variation, EMNLP2017, ACL, Conference paper 2017
Conference paper

Learning to compose spatial relations with grounded neural language models
Mehdi Ghanimifard, Simon Dobnik
Second International Workshop on Models and Representations in Spatial Cognition (MRSC). Schloss Hohentübingen; Tübingen, Germany; April 06 - 07, 2017, Poster 2017
Poster

2016

Compositionality for Classifiers
Staffan Larsson, Mehdi Ghanimifard, Simon Dobnik
Johanna Björklund, Sara Stymne: SLTC 2016, Conference paper 2016
Conference paper

2015

Enriching Word-sense Embeddings with Translational Context
Mehdi Ghanimifard, Richard Johansson
Proceedings of Recent Advances in Natural Language Processing / edited by Galia Angelova, Kalina Bontcheva, Ruslan Mitkov. International Conference, Hissar, Bulgaria 7–9 September, 2015, Conference paper 2015
Conference paper

Showing 1 - 5 of 5

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