Using Integer Linear Programming in Concept-to-Text Generation to Produce More Compact Texts
Code (0)
등록된 구현이 없습니다.
Tasks
Concept-To-Text GenerationText GenerationSimilar Papers 제목 키워드 기반
Concept-based Summarization using Integer Linear Programming: From Concept Pruning to Multiple Optimal Solutions
2015-09-01 · EMNLP 2015 9
· Florian Boudin, Hugo Mougard, Benoit Favre
Combinatorial Optimization
Integer linear programming for unsupervised training set selection in molecular machine learning
2024-10-21
· Matthieu Haeberle, Puck van Gerwen, Ruben Laplaza, Ksenia R. Briling 외
Integer linear programming (ILP) is an elegant approach to solve linear optimization problems, naturally described using integer decision variables. Within the context of physics-inspired machine learning applied to chem…
Generating Texts with Integer Linear Programming
2018-10-31
· Gerasimos Lampouras, Ion Androutsopoulos
Concept-to-text generation typically employs a pipeline architecture, which often leads to suboptimal texts. Content selection, for example, may greedily select the most important facts, which may require, however, too m…
Concept-To-Text GenerationReferring ExpressionReferring expression generationSentence+1Reducing Over-generation Errors for Automatic Keyphrase Extraction using Integer Linear Programming
2015-07-01 · WS 2015 7
· Florian Boudin
Information RetrievalKeyphrase ExtractionOpinion MiningText Categorization
Information-Theoretic Abstractions for Resource-Constrained Agents via Mixed-Integer Linear Programming
2021-02-19
· Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
In this paper, a mixed-integer linear programming formulation for the problem of obtaining task-relevant, multi-resolution, graph abstractions for resource-constrained agents is presented. The formulation leverages conce…