[PDF][PDF] Introduction to the CoNLL-2005 shared task: Semantic role labeling

X Carreras, L Màrquez - Proceedings of the ninth conference on …, 2005 - aclanthology.org
In this paper we describe the CoNLL-2005 shared task on Semantic Role Labeling. We
introduce the specification and goals of the task, describe the data sets and evaluation …

[PDF][PDF] 基于最大熵分类器的语义角色标注

刘挺, 车万翔, 李生 - 2007 - academia.edu
语义角色标注是浅层语义分析的一种可行方案. 描述了一个采用最大熵分类器的语义角色标注
系统, 该系统把句法成分作为语义标注的基本单元, 用最大熵分类器对句子中谓词的语义角色 …

Medical question answering for clinical decision support

TR Goodwin, SM Harabagiu - Proceedings of the 25th ACM international …, 2016 - dl.acm.org
The goal of modern Clinical Decision Support (CDS) systems is to provide physicians with
information relevant to their management of patient care. When faced with a medical case, a …

SoK: Access Control Policy Generation from High-level Natural Language Requirements

SH Jayasundara… - ACM Computing …, 2024 - dl.acm.org
Administrator-centered access control failures can cause data breaches, putting
organizations at risk of financial loss and reputation damage. Existing graphical policy …

[PDF][PDF] Asiya: An Open Toolkit for Automatic Machine Translation (Meta-) Evaluation.

J Giménez, L Màrquez - Fifth Machine Translation Marathon, 2010 - molto-project.eu
Asiya: An Open Toolkit for Automatic Machine Translation (Meta-)Evaluation Page 1 The Prague
Bulletin of Mathematical Linguistics NUMBER 94 SEPTEMBER 2010 77–86 Asiya: An Open …

[PDF][PDF] Enriching morphologically poor languages for statistical machine translation

E Avramidis, P Koehn - Proceedings of ACL-08: HLT, 2008 - aclanthology.org
We address the problem of translating from morphologically poor to morphologically rich
languages by adding per-word linguistic information to the source language. We use the …

Another look at causality: Discovering scenario-specific contingency relationships with no supervision

M Riaz, R Girju - 2010 IEEE Fourth International Conference …, 2010 - ieeexplore.ieee.org
Contingency discourse relations play an important role in natural language understanding.
In this paper we propose an unsupervised learning model to automatically identify …

Automatic extraction of access control policies from natural language documents

M Narouei, H Takabi, R Nielsen - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A fundamental management responsibility is securing information systems. Almost all
applications that deal with safety, privacy, or defense include some form of access control …

Taking MT evaluation metrics to extremes: Beyond correlation with human judgments

M Fomicheva, L Specia - Computational Linguistics, 2019 - direct.mit.edu
Abstract Automatic Machine Translation (MT) evaluation is an active field of research, with a
handful of new metrics devised every year. Evaluation metrics are generally benchmarked …

Linguistic measures for automatic machine translation evaluation

J Giménez, L Màrquez - Machine Translation, 2010 - Springer
Assessing the quality of candidate translations involves diverse linguistic facets. However,
most automatic evaluation methods in use today rely on limited quality assumptions, such as …