Natural Language Processing · 免费预览
是什么使话语连贯
RST 与「Penn Discourse Treebank」中的连贯性关系、话语解析、中心化理论,以及采用自监督评估的实体网格。
1. What Makes Discourse Coherent
What Makes Discourse Coherent
2. Parsing discourse
Parsing discourse
3. Centering
Centering
4. Entity grids and self-supervision
Entity grids and self-supervision
5. Finding the satellite
Under RST, in the two-EDU passage [The ferry cut its crossing short.] [The fog bank was closing fast.] related by REASON, which span is the nucleus and which is the satellite?
6. Labeling what no connective says
How do annotators in the Penn Discourse Treebank style label a coherence relation between two adjacent sentences that share no explicit connective?
7. Counting grid transitions
An entity grid has sentence rows and entity columns, and a model uses every length-2 column transition as a feature. How many such transitions does the grid contain?
8. Naming the transition
Utterance has backward center the ferry and utterance evokes a new backward center the pilot, which is also the top-ranked forward-looking center of . Which centering transition is this?
9. Scoring a candidate order
Four sentences have pairwise entity overlap counts, adjacent pair (1,2) shares 1 entity, (2,3) shares 1, (3,4) shares 1, and every other pair shares 0. Compute the entity-overlap coherence score of the ordering , where each adjacent pair contributes its shared-entity count.