Модель ранжирования

In this paper, we view coreference reso- lution as a problem of ranking candidate partitions generated by different coref- erence systems. We propose a set of partition-based features to learn …...

We present a machine learning approach for the task of ranking previously answered ques- tions in a question repository with respect to their relevance to a new, unanswered refer- ence …...

The computation of logical form has been pro- posed as an intermediate step in the translation of sentences to logic. Logical form encodes the resolution of scope ambiguities. In this …...

Previous approaches for automated essay scoring (AES) learn a rating model by min- imizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm used. In this …...

AbstractEnabling code reuse is an important goal in software engineering, and it depends crucially on effective code search interfaces. We propose to ground word meanings in source code and use …...

AbstractWe consider the problem of disambiguating concept mentions appearing in documents and grounding them in multiple knowledge bases, where each knowledge base addresses some aspects of the domain. This problem …...

AbstractThe paper describes a system for end-user development using natural language. Our approach uses a ranking model to identify the actions to be executed followed by reference and parameter matching …...

AbstractThis paper describes the emphasis selection system of the team TextLearner for SemEval 2020 Task 10: Emphasis Selection For Written Text in Visual Media. The system aims to learn the …...