A Crossing-Sensitive Third-Order Factorization for Dependency Parsing

نویسندگان

چکیده

منابع مشابه

A Crossing-Sensitive Third-Order Factorization for Dependency Parsing

Parsers that parametrize over wider scopes are generally more accurate than edge-factored models. For graph-based non-projective parsers, wider factorizations have so far implied large increases in the computational complexity of the parsing problem. This paper introduces a “crossing-sensitive” generalization of a third-order factorization that trades off complexity in the model structure (i.e....

متن کامل

Zhijun Wu: Chinese Semantic Dependency Parsing with Third-Order Features

This paper presents our system participated on SemEval-2012 task: Chinese Semantic Dependency Parsing. Our system extends the second-order MST model by adding two third-order features. The two third-order features are grand-sibling and tri-sibling. In the decoding phase, we keep the k best results for each span. After using the selected third-order features, our system presently achieves LAS of...

متن کامل

A subtree-based factorization of dependency parsing

We propose a dependency parsing pipeline, in which the parsing of long-distance projections and localized dependencies are explicitly decomposed at the input level. A chosen baseline dependency parsing model performs only on ’carved’ sequences at the second stage, which are transformed from coarse constituent parsing outputs at the first stage. When k-best constituent parsing outputs are kept, ...

متن کامل

Fourth-Order Dependency Parsing

We present and implement a fourth-order projective dependency parsing algorithm that effectively utilizes both “grand-sibling” style and “tri-sibling” style interactions of third-order and “grand-tri-sibling” style interactions of forth-order factored parts for performance enhancement. This algorithm requires O(n5) time and O(n4) space. We implement and evaluate the parser on two languages—Engl...

متن کامل

Factorization Strategies for Third-order Tensors

Operations with tensors, or multiway arrays, have become increasingly prevalent in recent years. Traditionally, tensors are represented or decomposed as a sum of rank-1 outer products using either the CANDECOMP/PARAFAC (CP) or the Tucker models, or some variation thereof. Such decompositions are motivated by specific applications where the goal is to find an approximate such representation for ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Transactions of the Association for Computational Linguistics

سال: 2014

ISSN: 2307-387X

DOI: 10.1162/tacl_a_00164