Papers by Cash Costello
Platforms for Non-speakers Annotating Names in Any Language (P18-4)
Copied to clipboard
| Challenge: | Traditionally, native speakers of a language have been asked to annotate a corpus in that language. |
| Approach: | They propose two annotation platforms that allow an English speaker to annotate names for any language without knowing the language. |
| Outcome: | The proposed annotations achieved state-of-the-art performance on two surprise languages and ten languages at TAC-KBP EDL2017. |
Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages (2020.lrec-1)
Copied to clipboard
| Challenge: | Using semantic and contextual information, non-speakers of a language familiar with the Latin script can produce high quality named entity annotations to support construction of . name tagger. |
| Approach: | They propose a procedure for annotating low resource languages using Dragonfly that others can use. |
| Outcome: | The proposed procedure improves the performance of NER models on native speaker and non-speaker annotations in low resource languages. |
Tagging Location Phrases in Text (2020.lrec-1)
Copied to clipboard
| Challenge: | a number of studies have focused on detecting named entities in written language. |
| Approach: | They describe a Location Phrase Detection task to detect non-named locations . they use sequential tagging and an annotation approach to create annotated datasets . |
| Outcome: | The proposed task can detect non-named locations in English and Russian news . the authors develop a sequential tagging approach and annotate datasets for English and Russia . |