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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/1908.11443 |
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| _version_ | 1866908960362070016 |
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| author | Rogers, Anna Karpinska, Marzena Gupta, Ankita Lialin, Vladislav Smelkov, Gregory Rumshisky, Anna |
| author_facet | Rogers, Anna Karpinska, Marzena Gupta, Ankita Lialin, Vladislav Smelkov, Gregory Rumshisky, Anna |
| contents | For the past decade, temporal annotation has been sparse: only a small portion of event pairs in a text was annotated. We present NarrativeTime, the first timeline-based annotation framework that achieves full coverage of all possible TLinks. To compare with the previous SOTA in dense temporal annotation, we perform full re-annotation of TimeBankDense corpus, which shows comparable agreement with a significant increase in density. We contribute TimeBankNT corpus (with each text fully annotated by two expert annotators), extensive annotation guidelines, open-source tools for annotation and conversion to TimeML format, baseline results, as well as quantitative and qualitative analysis of inter-annotator agreement. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1908_11443 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | NarrativeTime: Dense Temporal Annotation on a Timeline Rogers, Anna Karpinska, Marzena Gupta, Ankita Lialin, Vladislav Smelkov, Gregory Rumshisky, Anna Computation and Language For the past decade, temporal annotation has been sparse: only a small portion of event pairs in a text was annotated. We present NarrativeTime, the first timeline-based annotation framework that achieves full coverage of all possible TLinks. To compare with the previous SOTA in dense temporal annotation, we perform full re-annotation of TimeBankDense corpus, which shows comparable agreement with a significant increase in density. We contribute TimeBankNT corpus (with each text fully annotated by two expert annotators), extensive annotation guidelines, open-source tools for annotation and conversion to TimeML format, baseline results, as well as quantitative and qualitative analysis of inter-annotator agreement. |
| title | NarrativeTime: Dense Temporal Annotation on a Timeline |
| topic | Computation and Language |
| url | https://arxiv.org/abs/1908.11443 |