NLPExplorer

Jenna Kanerva

Number of Papers:- 27

Number of Citations:- 111

First ACL Paper:- 2014

Latest ACL Paper:- 2022

Venues:-

*SEMEVAL

NAACL

DepLing

LREC

WMT

DiscoMT

BEA

CoNLL

EMNLP

IWPT

ACL

NoDaLiDa

CVSC

Co-Authors:-

Similar Authors:-

Towards Automatic Short Answer Assessment for Finnish as a Paraphrase Retrieval Task BEA NAACL

Li-Hsin Chang | Jenna Kanerva | Filip Ginter |

Out-of-Domain Evaluation of Finnish Dependency Parsing LREC

Jenna Kanerva | Filip Ginter |

Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task ACL IWPT WS

Jenna Kanerva | Filip Ginter | Sampo Pyysalo |

The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research LREC

Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task EMNLP WS

Thang Minh Ngo | Jenna Kanerva | Filip Ginter | Sampo Pyysalo |

Template-free Data-to-Text Generation of Finnish Sports News NoDaLiDa WS

Is Multilingual BERT Fluent in Language Generation? NoDaLiDa WS

Samuel Rönnqvist | Jenna Kanerva | Tapio Salakoski | Filip Ginter |

Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task CoNLL

Parse Me if You Can: Artificial Treebanks for Parsing Experiments on Elliptical Constructions LREC

Kira Droganova | Daniel Zeman | Jenna Kanerva | Filip Ginter |

Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions EMNLP WS

Kira Droganova | Filip Ginter | Jenna Kanerva | Daniel Zeman |

Enhancing Universal Dependency Treebanks: A Case Study EMNLP WS

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies CoNLL

Jenna Kanerva

Number of Papers:- 27

Number of Citations:- 111

First ACL Paper:- 2014

Latest ACL Paper:- 2022

Venues:-

Co-Authors:-

Similar Authors:-

Towards Automatic Short Answer Assessment for Finnish as a Paraphrase Retrieval Task BEA NAACL

Out-of-Domain Evaluation of Finnish Dependency Parsing LREC

Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task ACL IWPT WS

The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research LREC

Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task EMNLP WS

Template-free Data-to-Text Generation of Finnish Sports News NoDaLiDa WS

Is Multilingual BERT Fluent in Language Generation? NoDaLiDa WS

Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task CoNLL

Parse Me if You Can: Artificial Treebanks for Parsing Experiments on Elliptical Constructions LREC

Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions EMNLP WS

Enhancing Universal Dependency Treebanks: A Case Study EMNLP WS

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies CoNLL

TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing CoNLL

Dep_search: Efficient Search Tool for Large Dependency Parsebanks NoDaLiDa WS

Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks v2.0 DiscoMT WS

Fully Delexicalized Contexts for Syntax-Based Word Embeddings DepLing WS

Assessing the Annotation Consistency of the Universal Dependencies Corpora DepLing WS

Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools WMT WS

Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks WMT WS

SETS: Scalable and Efficient Tree Search in Dependency Graphs NAACL

Turku: Semantic Dependency Parsing as a Sequence Classification *SEMEVAL

Towards the Classification of the Finnish Internet Parsebank: Detecting Translations and Informality NoDaLiDa WS

Universal Dependencies for Finnish NoDaLiDa WS

Towards Universal Web Parsebanks DepLing WS

Morphological Segmentation and OPUS for Finnish-English Machine Translation WMT WS

Turku: Broad-Coverage Semantic Parsing with Rich Features *SEMEVAL

Post-hoc Manipulations of Vector Space Models with Application to Semantic Role Labeling CVSC WS