EmpiriST Corpus 2.0: Adding Manual Normalization, Lemmatization and Semantic Tagging to a German Web and CMC Corpus
Thomas Proisl, Natalie Dykes, Philipp Heinrich, Besim Kabashi, Andreas Blombach, Stefan Evert
Abstract
The EmpiriST corpus (Beißwenger et al., 2016) is a manually tokenized and part-of-speech tagged corpus of approximately 23,000 tokens of German Web and CMC (computer-mediated communication) data. We extend the corpus with manually created annotation layers for word form normalization, lemmatization and lexical semantics. All annotations have been independently performed by multiple human annotators. We report inter-annotator agreements and results of baseline systems and state-of-the-art off-the-shelf tools.- Anthology ID:
- 2020.lrec-1.754
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 6142–6148
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.754
- DOI:
- Cite (ACL):
- Thomas Proisl, Natalie Dykes, Philipp Heinrich, Besim Kabashi, Andreas Blombach, and Stefan Evert. 2020. EmpiriST Corpus 2.0: Adding Manual Normalization, Lemmatization and Semantic Tagging to a German Web and CMC Corpus. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6142–6148, Marseille, France. European Language Resources Association.
- Cite (Informal):
- EmpiriST Corpus 2.0: Adding Manual Normalization, Lemmatization and Semantic Tagging to a German Web and CMC Corpus (Proisl et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.lrec-1.754.pdf