Abstract
We present an explorative study for the (semi-)automatic categorisation of actions in Dutch multimodal first aid instructions,
where the actions needed to successfully execute the procedure in question are presented verbally and in pictures. We start
with the categorisation of verbalised actions and expect that this will later facilitate the identification of those actions in the
pictures, which is known to be hard. Comparisons of and user-based experimentation with the verbal and visual representations
will allow us to determine the effectiveness of picture-text combinations and will eventually support the automatic generation
of multimodal documents. We used Natural Language Processing tools to identify and categorise 2,388 verbs in a corpus of 78
multimodal instructions. We show that the main action structure of an instruction can be retrieved through verb identification
using the Alpino parser followed by a manual selection operation. The selected main action verbs were subsequently
generalised and categorised with the use of Cornetto, a lexical resource that combines a Dutch Wordnet and a Dutch Reference
Lexicon. Results show that these tools are useful but also have limitations which make human intervention essential to guide
an accurate categorisation of actions in multimodal instructions.
where the actions needed to successfully execute the procedure in question are presented verbally and in pictures. We start
with the categorisation of verbalised actions and expect that this will later facilitate the identification of those actions in the
pictures, which is known to be hard. Comparisons of and user-based experimentation with the verbal and visual representations
will allow us to determine the effectiveness of picture-text combinations and will eventually support the automatic generation
of multimodal documents. We used Natural Language Processing tools to identify and categorise 2,388 verbs in a corpus of 78
multimodal instructions. We show that the main action structure of an instruction can be retrieved through verb identification
using the Alpino parser followed by a manual selection operation. The selected main action verbs were subsequently
generalised and categorised with the use of Cornetto, a lexical resource that combines a Dutch Wordnet and a Dutch Reference
Lexicon. Results show that these tools are useful but also have limitations which make human intervention essential to guide
an accurate categorisation of actions in multimodal instructions.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 11th edition of the Language Resources and Evaluation Conference (LREC 2018): Proceedings of the 1st International Workshop on Annotation, Recognition and Evaluation of Actions (AREA 2018) |
| Editors | James Pustejovsky, Ielka van der Sluis |
| Place of Publication | Miyazaki |
| Pages | 31-36 |
| Number of pages | 6 |
| Publication status | Published - 7-May-2018 |
| Event | AREA - Annotation, Recognition and Evaluation of Actions: in conjunction with the 11th edition of the Language Resources and Evaluation Conference (LREC 2018) - Phoenix Seagaia Resort, Miyazaki, Japan Duration: 7-May-2018 → … http://www.areaworkshop.org/ |
Workshop
| Workshop | AREA - Annotation, Recognition and Evaluation of Actions |
|---|---|
| Abbreviated title | AREA |
| Country/Territory | Japan |
| City | Miyazaki |
| Period | 07/05/2018 → … |
| Internet address |
Keywords
- instructions
- actions
- verbs
- categorisation
- task structure