Papers by Lydia Müller
Small-Text: Active Learning for Text Classification in Python (2023.eacl-demo)
Copied to clipboard
| Challenge: | small-text is an easy-to-use active learning library for text classification . it features a variety of pre-implemented state-of-the-art query strategies and stopping criteria . |
| Approach: | They introduce small-text, an easy-to-use active learning library for Python . it offers pool-based active learning for single- and multi-label text classification . they find it matches vanilla transformer fine-tuning in terms of classification accuracy . |
| Outcome: | The proposed library outperforms vanilla transformer fine-tuning in classification accuracy and area under the curve. |
Corpora of Typical Sentences (L18-1)
Copied to clipboard
| Challenge: | Typical sentences of characteristic syntactic structures can be used for language understanding tasks like finding typical slotfiller for verbs. |
| Approach: | They propose a method to select "typical sentences" from 5% of the original corpus . they use entropy measuring the distribution of words in a given position to identify larger sets of near-duplicate sentences . |
| Outcome: | The proposed method works language independently. |
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning (2021.acl-long)
Copied to clipboard
Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer
| Challenge: | open pit mines left many regions worldwide inhospitable or uninhabitable . aforementioned information has to be acquired to ensure safety and validity of land reuse . |
| Approach: | They propose a workflow for supporting the post-mining management of former open pit mines in the eastern part of Germany . they use active learning to perform multi-label sentence classification for two categories of restrictions and seven categories of topics . |
| Outcome: | The proposed system supports the post-mining management of former lignite open pit mines in the eastern part of Germany. |