Labeled Examples

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Related Papers

An Empirical Study of Active Learning with Support Vector Machines forJapanese Word Segmentation

Authors: nan

Publication: TIPSTER (2002)

DOI: nan

We explore how active learning with Sup- port Vector Machines works well for a non-trivial task in natural language pro- cessing. We use Japanese word segmenta- tion as a test …...

35001

Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

We investigate active learning methods for Japanese dependency parsing. We propose active learning methods of using partial dependency relations in a given sentence for parsing and evaluate their effective- ness …...

36176

Muppet: Massive Multi-task Representations with Pre-Finetuning

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe propose pre-finetuning, an additional large-scale learning stage between language model pre-training and fine-tuning. Pre-finetuning is massively multi-task learning (around 50 datasets, over 4.8 million total labeled examples), and is …...

31607

Fixing Model Bugs with Natural Language Patches

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractCurrent approaches for fixing systematic problems in NLP models (e.g., regex patches, finetuning on more data) are either brittle, or labor-intensive and liable to shortcuts. In contrast, humans often provide …...

29899