Search Results for author: Yannick Versley

Found 18 papers, 0 papers with code

LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging

no code implementations COLING 2022 Andy Rosenbaum, Saleh Soltan, Wael Hamza, Yannick Versley, Markus Boese

We present LINGUIST, a method for generating annotated data for Intent Classification and Slot Tagging (IC+ST), via fine-tuning AlexaTM 5B, a 5-billion-parameter multilingual sequence-to-sequence (seq2seq) model, on a flexible instruction prompt.

intent-classification Intent Classification +3

Continuous Model Improvement for Language Understanding with Machine Translation

no code implementations NAACL 2021 Abdalghani Abujabal, Claudio Delli Bovi, Sungho Ryu, Turan Gojayev, Fabian Triefenbach, Yannick Versley

Scaling conversational personal assistants to a multitude of languages puts high demands on collecting and labelling data, a setting in which cross-lingual learning techniques can help to reconcile the need for well-performing Natural Language Understanding (NLU) with a desideratum to support many languages without incurring unacceptable cost.

Machine Translation Natural Language Understanding +1

Detecting Annotation Scheme Variation in Out-of-Domain Treebanks

no code implementations LREC 2016 Yannick Versley, Julius Steen

To ensure portability of NLP systems across multiple domains, existing treebanks are often extended by adding trees from interesting domains that were not part of the initial annotation effort.

Incorporating Semi-supervised Features into Discontinuous Easy-First Constituent Parsing

no code implementations12 Sep 2014 Yannick Versley

This paper describes adaptations for EaFi, a parser for easy-first parsing of discontinuous constituents, to adapt it to multiple languages as well as make use of the unlabeled data that was provided as part of the SPMRL shared task 2014.

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