Esther Shizgal
@esthershizgal.bsky.social
MSc research student @nlphuji.bsky.social
December 1, 2024 at 2:59 PM
I'd like to join 😁
November 24, 2024 at 7:16 PM
I'd like to join 😁
5/n Check out the details in my poster below and read the full paper here: tinyurl.com/character-jo...
tinyurl.com
November 21, 2024 at 3:13 PM
5/n Check out the details in my poster below and read the full paper here: tinyurl.com/character-jo...
4/n 💡 Results:
- The religious content distribution shows a common narrative structure along the testimonies percentile positions.
- Cluster analysis using Dynamic Time Warping (DTW) distance and a structure-based taxonomy highlights distinct trajectory structures.
- The religious content distribution shows a common narrative structure along the testimonies percentile positions.
- Cluster analysis using Dynamic Time Warping (DTW) distance and a structure-based taxonomy highlights distinct trajectory structures.
November 21, 2024 at 3:13 PM
4/n 💡 Results:
- The religious content distribution shows a common narrative structure along the testimonies percentile positions.
- Cluster analysis using Dynamic Time Warping (DTW) distance and a structure-based taxonomy highlights distinct trajectory structures.
- The religious content distribution shows a common narrative structure along the testimonies percentile positions.
- Cluster analysis using Dynamic Time Warping (DTW) distance and a structure-based taxonomy highlights distinct trajectory structures.
3/n 🛠 Our framework:
- Segments testimonies by QA pairs.
- Extracts descriptions of religious activity and beliefs.
- Categorizes these segments by their valence of practice or belief.
- Aligns trajectories to percentile positions across testimonies.
- Clusters trajectories into common patterns.
- Segments testimonies by QA pairs.
- Extracts descriptions of religious activity and beliefs.
- Categorizes these segments by their valence of practice or belief.
- Aligns trajectories to percentile positions across testimonies.
- Clusters trajectories into common patterns.
November 21, 2024 at 3:13 PM
3/n 🛠 Our framework:
- Segments testimonies by QA pairs.
- Extracts descriptions of religious activity and beliefs.
- Categorizes these segments by their valence of practice or belief.
- Aligns trajectories to percentile positions across testimonies.
- Clusters trajectories into common patterns.
- Segments testimonies by QA pairs.
- Extracts descriptions of religious activity and beliefs.
- Categorizes these segments by their valence of practice or belief.
- Aligns trajectories to percentile positions across testimonies.
- Clusters trajectories into common patterns.
2/n Testimonies reveal personal stories, making them ideal for studying character development. Using NLP, we analyzed character arcs in 1,000 Holocaust testimonies recorded by the Shoah Foundation.
November 21, 2024 at 3:13 PM
2/n Testimonies reveal personal stories, making them ideal for studying character development. Using NLP, we analyzed character arcs in 1,000 Holocaust testimonies recorded by the Shoah Foundation.