Martin Potthast

Beyond Metadata: What Paper Authors Say About Corpora They Use

2021

The growing ecosystem of data sharing in science has put dataset search into the focus. To make data sharing and reuse more feasible, new retrieval tools and services are being developed. Currently, dataset retrieval relies …

Using Language Models on Low-end Hardware

2023 · arXiv (Cornell University)

This paper evaluates the viability of using fixed language models for training text classification networks on low-end hardware. We combine language models with a CNN architecture and put together a comprehensive benchmark with 8 datasets …

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

2017

Daniel Zeman, Martin Popel, Milan Straka, Jan Hajič, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajič jr., Jaroslava Hlaváčová, …

SemEval-2019 Task 4: Hyperpartisan News Detection

2019

Hyperpartisan news is news that takes an extreme left-wing or right-wing standpoint. If one is able to reliably compute this meta information, news articles may be automatically tagged, this way encouraging or discouraging readers to …

CoNLL 2018 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies

2018 · Conference on Computational Natural Language Learning

Every year, the Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets. In 2018, one of two tasks was …

Perspectives on Large Language Models for Relevance Judgment

2023

When asked, large language models~(LLMs) like ChatGPT claim that they can assist with relevance judgments but it is not clear whether automated judgments can reliably be used in evaluations of retrieval systems. In this perspectives …