DaN+ (DaNplus): Danish Nested Named Entities and Lexical Normalization

This repository contains the code and data for the paper Nested NER and Lexical Normalization for Danish (DaN+) by Plank, Nørgaard Jensen and van der Goot, 2020 (COLING).

Nested Named Entity Recognition (NNER)

DaN+ contains Nested Named Entities with a 2-level annotation for four major entity types (ORG, PER, LOC, MISC) and two subtypes (-part and -deriv). An example from the training data is shown below. For further detail, see the supplementary material in the paper.

DaN+ contains data for cross-lingual cross-domain NNER evaluation. The Danish training material are NNER annotations on top of the Danish DDT Universal Dependencies Treebank. Besides training material from the newswire domain, we provide three new evaluation web genres.

Og	O	O
jeg	O	O
er	O	O
bange	O	O
for	O	O
,	O	O
at	O	O
italienerne	B-LOCderiv	O
fra	O	O
Torino	B-LOC	O
er	O	O
de	O	O
klogeste	O	O
i	O	O
det	O	O
taktiske	O	O
spil	O	O
inden	O	O
onsdagens	O	O
kvartfinale	O	O
i	O	O
UEFA-turneringen	B-MISC	B-ORGpart
på	O	O
Gentoftes	B-LOC	O
tætpakkede	O	O
,	O	O
men	O	O
ikke	O	O
særlig	O	O
forbrugervenlige	O	O
Stadion	O	O
.	O	O

Repository

In this repository you'll find:

configs: configuration files for MaChAmp
data: the data used in our paper
predictions: the predictions for all experiments
scripts: the code to reproduce all experiments. Look at scripts/runAll.sh on all commands necessary to rerun. Scripts/genAll.sh can be used to generate all tables/graphs used in the paper

Additionally, these scripts will download the following folders:

monoise: MoNoise is a state-of-the-art lexical normalization model (van der Goot, 2019)
mtp: Contains MaChAmp, a bert-based sequence labeler (van der Goot et al., 2020). We recommend to check out MaChAmp's project repo

References

If you use the code, data, guidelines from DaN+, please include the following references:

@inproceedings{plank-etal-2020-dan,
    title = "{D}a{N}+: {D}anish Nested Named Entities and Lexical Normalization",
    author = "Plank, Barbara  and
      Jensen, Kristian N{\o}rgaard  and
      van der Goot, Rob",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.coling-main.583",
    pages = "6649--6662"
}

@inproceedings{vandergoot-etal-2020-machamp,
    title={Massive {C}hoice, {A}mple Tasks ({MaChAmp}): A Toolkit for Multi-task Learning in {NLP}},
    author={Rob van der Goot and Ahmet {\"U}st{\"u}n and Alan Ramponi and Sharaf, Ibrahim and Barbara Plank},
    booktitle = "Proceedings of the Software Demonstrations of the 16th Conference of the {E}uropean Chapter of the Association for Computational Linguistics",
    month = feb,
    year = "2021",
    publisher = "Association for Computational Linguistics",
}

The Danish News data is based on (Johannsen et al., 2015):

    Johannsen, Anders, Martínez Alonso, Héctor and Plank, Barbara. “Universal Dependencies for Danish”. TLT14, 2015.

    Buch-Kromann, Matthias T., Line Mikkelsen, and Stine Kern Lynge. “Danish dependency treebank.”. TLT. 2003.

    Keson, Britt (1998). Documentation of The Danish Morpho-syntactically Tagged PAROLE Corpus. Technical report, DSL

bplank/DaNplus

DaN+ (DaNplus): Danish Nested Named Entities and Lexical Normalization

Nested Named Entity Recognition (NNER)

Repository

References