This paper is a description of our system for SemEval-2015 Task 18: Broad-Coverage Semantic Dependency Parsing. We imple-ment a hybrid parser which benefits from both transition-based and graph-based parsing ap-proaches. In particular, the tree approximation method is explored to take advantage of well-studied tree parsing techniques. Evaluation on multilingual data sets demonstrates that con-siderably good semantic analysis can be au-tomatically built by applying state-of-the-art data-driven parsing techniques.
Dependency parsing has made many advancements in recent years, in particular for English. There are ...
Empirical thesis."PhD thesis developed at the Philosophische Fakultät, Saarland university and the D...
Most existing graph-based parsing models rely on millions of hand-crafted features, which limits the...
Using the SemEval-2014 Task 8 data, we profile the syntactic tree parsing tech-niques for semantic g...
This paper describes the systems deployed by the ALPAGE team to participate to the SemEval-2014 Task...
Derivations under different grammar formalisms allow extraction of various dependency structures. Pa...
Semantic dependency parsing is the task of mapping natural language sentences into representations o...
Semantic dependency graph has been recently proposed as an extension of tree-structured syntactic or...
We present the Potsdam systems that par-ticipated in the semantic dependency pars-ing shared task of...
This paper presents the system used in our submission to the extit{IWPT 2021 Shared Task}. This yea...
We propose a novel model for parsing natural language sentences into their for-mal semantic represen...
Lexical semantic information plays an important role in supervised dependency parsing. In this paper...
[Abstract]: Transition-based parsers implemented with Pointer Networks have become the new state of ...
This paper describes our system about mul-tilingual semantic dependency parsing (SR-Lonly) for our p...
We propose two general and robust methods for enriching resources annotated in the Frame Semantic pa...
Dependency parsing has made many advancements in recent years, in particular for English. There are ...
Empirical thesis."PhD thesis developed at the Philosophische Fakultät, Saarland university and the D...
Most existing graph-based parsing models rely on millions of hand-crafted features, which limits the...
Using the SemEval-2014 Task 8 data, we profile the syntactic tree parsing tech-niques for semantic g...
This paper describes the systems deployed by the ALPAGE team to participate to the SemEval-2014 Task...
Derivations under different grammar formalisms allow extraction of various dependency structures. Pa...
Semantic dependency parsing is the task of mapping natural language sentences into representations o...
Semantic dependency graph has been recently proposed as an extension of tree-structured syntactic or...
We present the Potsdam systems that par-ticipated in the semantic dependency pars-ing shared task of...
This paper presents the system used in our submission to the extit{IWPT 2021 Shared Task}. This yea...
We propose a novel model for parsing natural language sentences into their for-mal semantic represen...
Lexical semantic information plays an important role in supervised dependency parsing. In this paper...
[Abstract]: Transition-based parsers implemented with Pointer Networks have become the new state of ...
This paper describes our system about mul-tilingual semantic dependency parsing (SR-Lonly) for our p...
We propose two general and robust methods for enriching resources annotated in the Frame Semantic pa...
Dependency parsing has made many advancements in recent years, in particular for English. There are ...
Empirical thesis."PhD thesis developed at the Philosophische Fakultät, Saarland university and the D...
Most existing graph-based parsing models rely on millions of hand-crafted features, which limits the...