Papers by Rachel Holden
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour (2020.lrec-1)
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Xingyi Song, Johnny Downs, Sumithra Velupillai, Rachel Holden, Maxim Kikoler, Kalina Bontcheva, Rina Dutta, Angus Roberts
| Challenge: | Mental health problems are a major risk factor for suicide attempts. |
| Approach: | They propose to integrate information from sentences to left and right of the target sentence into the model to improve classification accuracy. |
| Outcome: | The proposed model was able to classify suicidal behaviour in autism spectrum disorder patient records significantly better than previous approaches. |