1 |
Higher-order Derivatives of Weighted Finite-state Machines ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Efficient computation of expectations under spanning tree distributions ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Higher-order Derivatives of Weighted Finite-state Machines ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
On Finding the K-best Non-projective Dependency Trees
|
|
|
|
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
|
|
BASE
|
|
Show details
|
|
7 |
Higher-order Derivatives of Weighted Finite-state Machines
|
|
|
|
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
|
|
BASE
|
|
Show details
|
|
8 |
Efficient computation of expectations under spanning tree distributions
|
|
|
|
In: Transactions of the Association for Computational Linguistics, 9 (2021)
|
|
BASE
|
|
Show details
|
|
9 |
Efficient Sampling of Dependency Structure
|
|
|
|
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
|
|
Abstract:
Probabilistic distributions over spanning trees in directed graphs are a fundamental model of dependency structure in natural language processing, syntactic dependency trees. In NLP, dependency trees often have an additional root constraint: only one edge may emanate from the root. However, no sampling algorithm has been presented in the literature to account for this additional constraint. In this paper, we adapt two spanning tree sampling algorithms to faithfully sample dependency trees from a graph subject to the root constraint. Wilson (1996(’s sampling algorithm has a running time of O(H) where H is the mean hitting time of the graph. Colbourn (1996)’s sampling algorithm has a running time of O(N3), which is often greater than the mean hitting time of a directed graph. Additionally, we build upon Colbourn’s algorithm and present a novel extension that can sample K trees without replacement in O(K N3 + K2 N) time. To the best of our knowledge, no algorithm has been given for sampling spanning trees without replacement from a directed graph.
|
|
URL: https://hdl.handle.net/20.500.11850/518990 https://doi.org/10.3929/ethz-b-000518990
|
|
BASE
|
|
Hide details
|
|
10 |
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Please Mind the Root: Decoding Arborescences for Dependency Parsing
|
|
|
|
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
|
|
BASE
|
|
Show details
|
|
14 |
Information-Theoretic Probing for Linguistic Structure
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
|
|