Toggle menu
Pasar al contenido principal
  • Home
  • About us
    • Who we are
    • Annual reports
    • Human Resources Strategy for Researchers
  • People
    • Intro
    • ICREA Research Professors
    • The director
    • Executive team
    • Board
  • Selection process
    • ICREA Selection
    • Evaluators
    • Calls
  • ICREA Community
    • The ICREAs
    • New ICREAs
    • Host institutions
    • Scientific contribution
    • Scientific highlights
    • ICREA Academia awardees
  • Events
    • Upcoming events
    • Past events
  • Technology transfer
    • Bringing ideas to market
    • Spin off companies
    • Industrial Property
  • News
    • Latest news
    • News archive
    • Videos
  • Corporate
    • Intranet
    • External reports
    • Brand image
    • Contact
    • Transparency
  • Social
    • Linkedin
    • Twitter
    • Vimeo
    • Slideshare
Toggle menu icrea
INTRANET
  • ENG
  • CAT
  • ESP
ICREA Community
icrea
  • The ICREAs
  • New ICREAs
  • Host institutions
  • Scientific contribution
  • Scientific highlights
  • ICREA Academia awardees

Boleda Torrent, Gemma

ICREA Research Professor at Universitat Pompeu Fabra (UPF).
Engineering Sciences

Short biography

I am an ICREA Research Professor in the Department of Translation and Language Sciences of the Universitat Pompeu Fabra, where I head the Computational Linguistics and Linguistic Theory (COLT) research group. I previously held post-doctoral positions at the Department of Linguistics of The University of Texas at Austin and the CIMEC Center for Brain/Mind Sciences of the University of Trento; before that, I graduated in Spanish Philology at the Universitat Autònoma de Barcelona and obtained my PhD at the Universitat Pompeu Fabra. I am currently funded by an ERC Starting Grant.

Research interests

I want to understand how language works; in particular, how humans convey meaning through language. I address this research question from an interdisciplinary perspective, integrating methodologies from Linguistics and Artificial Intelligence; in a nutshell, I do Data Science for Linguistics.

My research has recently focused on how we refer to objects, with a greater focus on those presented visually (in images). The challenge there is that we have a vast lexicon to choose from, and we may choose different expressions for the same object, for instance "the dog" or "the chihuahua". Our results suggest that, on the one hand, people are remarkably consistent in the expressions they choose, and on the other, there is systematic variation. Further characterizing this consistency and this variation will be our next step, in particular the interaction between the visual properties of both the object and its context with the linguistic system.

Key words

Linguistics; Computational Linguistics; Natural Language Processing; computational semantics; semantic theory; distributional semantics; neural networks; deep learning; reference; concepts; lexicon

ORCID

http://orcid.org/0000-0001-6140-7080
  • Short biography
  • Email
  • Contact Info
  • Lines of Research
  • Full CV
  • Ongoing Grants
  • Selected Publications
  • Publications
  • Patents
  • Spin-offs
  • Highlights
  • Conferences & Workshops
  • Courses & Seminars
  • PhDs, Masters & TFGs
  • More...