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 88 sentence rows and 44 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 UnU_n has backward center the ferry and utterance Un+1U_{n+1} evokes a new backward center the pilot, which is also the top-ranked forward-looking center of Un+1U_{n+1}. 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 (4,2,1,3)(4, 2, 1, 3), where each adjacent pair contributes its shared-entity count.

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