Search Results for author: Geert Heyman

Found 6 papers, 1 papers with code

Natural Language-Guided Programming

no code implementations11 Aug 2021 Geert Heyman, Rafael Huysegems, Pascal Justen, Tom Van Cutsem

The key idea is to adapt code autocompletion tools such that they take into account not only the developer's already-written code but also the intent of the task the developer is trying to achieve next, formulated in plain natural language.

Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent

1 code implementation27 Aug 2020 Geert Heyman, Tom Van Cutsem

In this work, we propose and study annotated code search: the retrieval of code snippets paired with brief descriptions of their intent using natural language queries.

Annotated Code Search Information Retrieval +3

Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs

no code implementations NAACL 2019 Geert Heyman, Bregt Verreet, Ivan Vuli{\'c}, Marie-Francine Moens

We learn a shared multilingual embedding space for a variable number of languages by incrementally adding new languages one by one to the current multilingual space.

Bilingual Lexicon Induction Cross-Lingual Word Embeddings +4

Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations

no code implementations EACL 2017 Geert Heyman, Ivan Vuli{\'c}, Marie-Francine Moens

We study the problem of bilingual lexicon induction (BLI) in a setting where some translation resources are available, but unknown translations are sought for certain, possibly domain-specific terminology.

Bilingual Lexicon Induction Classification +10

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