Discriminant-Based MRS Banking

What it is about

The paper describes how to build a corpus in which every sentence is paired with a meaning representation (MRS). Sentences are parsed with a broad-coverage grammar, and the right analysis is then chosen by binary decisions. The decisions are on semantic discriminants, which are local properties of the semantic dependency graph. The paper defines three types: presence of a predicate, dependencies between predicates, and properties of a relation's main index. An annotator accepts or rejects each discriminant, and every decision removes analyses from the parse forest. The examples are in Norwegian and English. The paper gives no evaluation numbers.

Ideas

• I1. annot: use the discriminant form as the review step for silver trees. The reviewer answers short binary questions about one tree (this attachment goes to the verb, this noun is plural) instead of editing a full tree. Log accepted and rejected choices, and measure reviewer time and agreement on 100 EWT sentences with two reviewers.
• I2. en/src/explain.rs: attach to each arc decision the binary property that decided it, so that an explanation lists the decided properties. Check on EWT test that every chosen arc has one.
• I3. Pin-down count: for each EWT test tree, count how many binary decisions would fix the tree among the parser's candidates. Report the distribution. This is test only.

For Mova

The code is annot and en/src/explain.rs; the chapter for the clause decisions is 21. The simple clause. The paper is NC, so it is summary only, and it has no numbers to reuse. Measure on EWT only.

Cite

The paper itself, not this card. BibTeX from the library's record of the work.

@inproceedings{oepen2006discriminant,
  title = {{Discriminant-Based MRS Banking}},
  author = {Oepen, Stephan and Lønning, Jan Tore},
  booktitle = {Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC'06)},
  year = {2006},
  url = {https://aclanthology.org/L06-1214/}
}

References

15 references, 3 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. Bond, F., Fujita, S., Hashimoto, C., Kasahara, K., Nariyama, S., Nichols, E., Ohtani, A., Tanaka, T., & Amano, S. (2004). The Hinoki Treebank. A treebank for text understanding. In Proceedings of the 1st International Joint Conference on Natural Language Processing (pp. 158 – 168). Hainan, China. find
2. Bos, J. (1995). Predicate logic unplugged. In Proceedings of the tenth Amsterdam colloquium (pp. 133 – 142). Amsterdam, The Netherlands. find
3. Butt, M., Dyvik, H., King, T. H., Masuichi, H., & Rohrer, C. (2002). The Parallel Grammar project. In Proceedings of the COLING Workshop on Grammar Engineering and Evaluation (pp. 1 – 7). Taipei, Taiwan. find
4. Carter, D. (1997). The TreeBanker. A tool for supervised training of parsed corpora. In Proceedings of the Workshop on Computational Environments for Grammar Development and Linguistic Engineering. Madrid, Spain. find
5. Copestake, A., Flickinger, D., Sag, I. A., & Pollard, C. (1999). Minimal Recursion Semantics. An introduction. In preparation, CSLI Stanford, Stanford, CA. find
6. Dyvik, H. (1999). The universality of f-structure. Discovery or stipulation? The case of modals. In Proceedings of the 4th International Lexical Functional Grammar Conference. Manchester, UK. find
7. Flickinger, D. (2000). On building a more efficient grammar by exploiting types. Natural Language Engineering, 6 (1), 15 – 28. find our card
8. Ginzburg, J., & Sag, I. A. (2000). Interrogative investigations. The form, meaning, and use of English interrogatives. Stanford, CA: CSLI Publications. find
9. Oepen, S., & Carroll, J. (2000). Performance profiling for parser engineering. Natural Language Engineering, 6 (1), 81 – 97. find
10. Oepen, S., Dyvik, H., Lønning, J. T., Velldal, E., Beermann, D., Carroll, J., Flickinger, D., Hellan, L., Johannessen, J. B., Meurer, P., Nordgård, T., & Rosén, V. (2004). Som å kapp-ete med trollet? Towards MRS-based Norwegian – English Machine Translation. In Proceedings of the 10th International… find
11. Oepen, S., Flickinger, D., & Bond, F. (2004). Towards holistic grammar engineering and testing. Grafting treebank maintenance into the grammar revision cycle. In Proceedings of the IJCNLP workshop Beyond Shallow Analysis. Hainan,China. find
12. Oepen, S., Flickinger, D., Toutanova, K., & Manning, C. D. (2004). LinGO Redwoods. A rich and dynamic treebank for HPSG. Journal of Research on Language and Computation, 2(4), 575 – 596. find our card
13. Oepen, S., Toutanova, K., Shieber, S., Manning, C., Flickinger, D., & Brants, T. (2002). The LinGO Redwoods treebank. Motivation and preliminary applications. In Proceedings of the 19th International Conference on Computational Linguistics. Taipei, Taiwan. find our card
14. Reyle, U. (1993). Dealing with ambiguity by underspecification. Construction, representation, and deduction. Journal of Semantics, 10, 123 – 179. find
15. Rosén, V., Smedt, K. D., Dyvik, H., & Meurer, P. (2005). TrePil. Developing methods and tools for multilevel treebank construction. In Proceedings of the 4th Workshop on Treebanks and Linguistic Theories (pp. 161 – 172). Barcelona, Spain. find

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