Contextual String Embeddings for Sequence Labeling

1 code implementation • COLING 2018 • Alan Akbik, Duncan Blythe, Rol Vollgraf,

Recent advances in language modeling using recurrent neural networks have made it viable to model language as distributions over characters.

Chunking Language Modelling +4

FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP

1 code implementation • NAACL 2019 • Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, Rol Vollgraf,

We present FLAIR, an NLP framework designed to facilitate training and distribution of state-of-the-art sequence labeling, text classification and language models.

Chunking Named Entity Recognition (NER) +2

The Projector: An Interactive Annotation Projection Visualization Tool

no code implementations • EMNLP 2017 • Alan Akbik, Rol Vollgraf,

Previous works proposed annotation projection in parallel corpora to inexpensively generate treebanks or propbanks for new languages.

FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in German

no code implementations • LREC 2018 • Leonidas Lefakis, Alan Akbik, Rol Vollgraf,

Image Retrieval

ZAP: An Open-Source Multilingual Annotation Projection Framework

no code implementations • LREC 2018 • Alan Akbik, Rol Vollgraf,

Word Alignment

Pooled Contextualized Embeddings for Named Entity Recognition

no code implementations • NAACL 2019 • Alan Akbik, Tanja Bergmann, Rol Vollgraf,

We make all code and pre-trained models available to the research community for use and reproduction.

named-entity-recognition Named Entity Recognition +1