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Bio

Ivan Titov Иван Титов

Reader (≈ US Associate Prof)
Insitute for Language, Cognition and Computation, School of Informatics
University of Edinburgh, UK

UHD (≈ US Associate Prof), part-time
Institute for Logic, Language and Computation, FNWI
University of Amsterdam, Netherlands

Office: IF 3.28
E-mail: ititov (at) inf.ed.ac.uk
Phone: +44 131 6513092

I am an associate professor (Reader) in the Institute for Language, Cognition and Computation (ILCC) at the School of Informatics of the University of Edinburgh. I am also a part-time faculty at the Institute of Logic, Language and Computation of the University of Amsterdam. My research interests are in natural language processing (incl. semantics and syntax) and machine learning.

My research is supported by personal grants (ERC Starting grant and NWO VIDI), as well as industrial funding / collaborations (incl. Google, SAP and Yandex).

I am an action editor for the journal of machine learning research (JMLR), Transactions of ACL (TACL), a member of editorial board of JAIR, an advisory board member for European Chapter of ACL. My other professional services include being a PC co-chair for *SEM 2016 and CoNLL 2018, an area chair for at ACL 2016, EMNLP 2014, EACL 2012, ICLR 2017 and NIPS 2017, a senior PC member for IJCAI 2011

I am hiring: interested in a postdoc position in my group at the University of Edinburgh? Please contact me

News / Activities:

09/2017: Giving a talk at the 6th Workshop on Automated Knoweledge Base Construction (AKBC) (at NIPS)

05/2017: I am joining the School of Informatics at the University of Edinburgh

05/2017: Together with Diego Marcheggiani, Michael Roth and Benjamin Van Durme, we are organizing a tutorial on Semantic Role Labeling at EMNLP-2017

06/2016: Giving invited talks at NAACL 2016 workshops (W. on Multilingual and Crosslingual NLP and W. on Graph-based methods for NLP) and at a Conference on Computational and Methdological Statistics

01/2016: Program co-chair for *SEM 2016

11/2015: Awarded an ERC Starting Grant: Broad Coverage Semantic Parsing (BroadSem)

08/2015: An Amazon machine learning research grant: AWS will be used to support our research on semantic parsing

06/2015: I received the personal NWO VIDI grant

06/2015: New collaborations with Yandex and SAP (together with Max Welling). Several PhD students to join the group

05/2015: Funding for the Google Focused Research Award project is extended for 2016

[See old news]  

Team


Recent publications   (Full list)

2017

  • Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
    Diego Marcheggiani, Ivan Titov
    EMNLP 2017.
    abstract   bib   paper
  • Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
    Phong Le, Ivan Titov
    CoNLL 2017.
    abstract   bib   paper
  • Emergence of Language with Multi-Agent Games: Learning to Communicate with Sequence of Symbols
    Serhii Havrylov, Ivan Titov
    NIPS 2017
    abstract   bib   preprint
    A earlier version appeared at ICLR (workshop track)
  • Modeling Relational Data with Graph Convolutional Networks
    Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov and Max Welling
    Arxiv 2017.
    abstract   bib   paper
  • Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
    Joost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an
    EMNLP 2017.
    abstract   bib   paper
  • Embedding Words as Distributions with a Bayesian Skip-gram Model
    Arthur Brazinskas, Serhii Havrylov and Ivan Titov
    Arxiv: 1711.11027 2017.
    abstract   bib   paper
    A earlier version appeared at NIPS Bayesian deep learning workshop
  • A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
    Diego Marcheggiani, Anton Frolov and Ivan Titov
    CoNLL 2017.
    abstract   bib   paper
  • Modeling Semantic Expectations: Using Script Knowledge for Referent Prediction
    Ashutosh Modi, Ivan Titov, Vera Demberg, Asad Sayeed and Manfred Pinkal
    Transactions of Association for Computational Linguistics (TACL) 2017.
    abstract   bib   paper

2016

  • Embedding Words as Distributions with a Bayesian Skip-gram Model
    Arthur Brazinskas, Serhii Havrylov and Ivan Titov
    NIPS Bayesian Deep Learning Workshop 2016 (extended abstract).
    abstract   bib   paper
  • Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations
    Diego Marcheggiani and Ivan Titov
    Transactions of Association for Computational Linguistics (TACL) 2016.
    abstract   bib   paper  
  • Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
    Simon Suster, Ivan Titov and Gerjan van Noord
    Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2016.
    abstract   bib   paper  
  • Adapting to All Domains at Once: Rewarding Domain Invariance in SMT
    Hoang Cuong, Khalil Sima'an and Ivan Titov
    Transactions of Association for Computational Linguistics (TACL) 2016.
    abstract   bib   paper  

For a long list of papers (incl. some older articles) follow this link.


Recent teaching (Full list)


Previous Affiliations / Education