• Publications
  • Influence
Universal Dependencies v1: A Multilingual Treebank Collection
TLDR
This paper describes v1 of the universal guidelines, the underlying design principles, and the currently available treebanks for 33 languages, as well as highlighting the needs for sound comparative evaluation and cross-lingual learning experiments. Expand
Universal Dependencies 2.1
TLDR
The annotation scheme is based on (universal) Stanford dependencies, Google universal part-of-speech tags, and the Interset interlingua for morphosyntactic tagsets for morpho-lingual tagsets. Expand
Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages
TLDR
This paper presents and analyzes parsing results obtained by the task participants, and provides an analysis and comparison of the parsers across languages and frameworks, reported for gold input as well as more realistic parsing scenarios. Expand
Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither
TLDR
This paper synthesizes the contributions of researchers working on parsing Arabic, Basque, French, German, Hebrew, Hindi and Korean to point out shared solutions across languages and suggests itself as a source of directions for future investigations. Expand
Introducing the SPMRL 2014 Shared Task on Parsing Morphologically-rich Languages
TLDR
This paper provides a short overview of the 2014 SPMRL shared task goals, data sets, and evaluation setup and describes the description of participating systems and the analysis of their results as part of (Seddah et al., 2014). Expand
A Unified Morpho-Syntactic Scheme of Stanford Dependencies
TLDR
A novel extension of SD is presented, called Unified-SD (U-SD), which unifies the annotation of structurally and morphologically-marked relations via an inheritance hierarchy and creates a new resource composed of U-SDannotated constituency and dependency treebanks for the MRL Modern Hebrew. Expand
Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
TLDR
This release contains the test data used in the CoNLL 2017 shared task on parsing Universal Dependencies, and complements the UD 2.0 release with 18 new parallel test sets and 4 test sets in surprise languages. Expand
Parsing Morphologically Rich Languages: Introduction to the Special Issue
TLDR
This special issue reports on methods that successfully address the challenges involved in parsing a range of morphologically rich languages (MRLs), and describes the challenges in parsing MRLs and outlines the contributions of the articles in the special issue. Expand
Cross-Framework Evaluation for Statistical Parsing
TLDR
A principled protocol for evaluating parsing results across frameworks based on function trees, tree generalization and edit distance metrics is presented, which extends a previously proposed framework for cross-theory evaluation and allows us to compare a wider class of parsers. Expand
Evaluating Dependency Parsing: Robust and Heuristics-Free Cross-Annotation Evaluation
TLDR
It is demonstrated that, for different conversions of the Penn Treebank into dependencies, performance trends that are observed for parsing results in isolation change or dissolve completely when parse hypotheses are normalized and brought into the same common ground. Expand
...
1
2
3
4
5
...