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Found 38 papers, 1 papers with code
A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output
Furthermore, we present various exemplary applications of our test suite that have been implemented in the past years, like contributions to the Conference of Machine Translation, the usage of the test suite and MT outputs for quality estimation, and the expansion of the test suite to the language pair Portuguese–English.
Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically-motivated Test Suite
We present an alternative method of evaluating Quality Estimation systems, which is based on a linguistically-motivated Test Suite.
Linguistic evaluation of German-English Machine Translation using a Test Suite
We present the results of the application of a grammatical test suite for German$\rightarrow$English MT on the systems submitted at WMT19, with a detailed analysis for 107 phenomena organized in 14 categories.
Fine-grained evaluation of German-English Machine Translation based on a Test Suite
We present an analysis of 16 state-of-the-art MT systems on German-English based on a linguistically-motivated test suite.
Creation of an Annotated Corpus of Spanish Radiology Reports
This paper presents a new annotated corpus of 513 anonymized radiology reports written in Spanish.
Word Embeddings as Features for Supervised Coreference Resolution
A common reason for errors in coreference resolution is the lack of semantic information to help determine the compatibility between mentions referring to the same entity.
Streaming Text Analytics for Real-Time Event Recognition
We also present promising experimental results for the event extraction component of our system, which recognizes a novel set of event types.
Annotation of Entities and Relations in Spanish Radiology Reports
For this reason we performed a manual annotation of radiology reports written in Spanish.
Generating Pattern-Based Entailment Graphs for Relation Extraction
A common approach is to exploit existing knowledge to learn linguistic patterns expressing the target relation and use these patterns for extracting new relation mentions.
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
Common Round: Application of Language Technologies to Large-Scale Web Debates
Web debates play an important role in enabling broad participation of constituencies in social, political and economic decision-taking.
Negation Detection in Clinical Reports Written in German
This work presents a system for detecting mentions of clinical findings that are negated or just speculated.
A fine-grained corpus annotation schema of German nephrology records
In this work we present a fine-grained annotation schema to detect named entities in German clinical data of chronically ill patients with kidney diseases.
TEG-REP: A corpus of Textual Entailment Graphs based on Relation Extraction Patterns
Some express a relation that entails the target relation.
Relation- and Phrase-level Linking of FrameNet with Sar-graphs
Recent research shows the importance of linking linguistic knowledge resources for the creation of large-scale linguistic data.
The Strategic Impact of META-NET on the Regional, National and International Level
This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and the situation of funding for LT topics.
The taraX\"U corpus of human-annotated machine translations
Human translators are the key to evaluating machine translation (MT) quality and also to addressing the so far unanswered question when and how to use MT in professional translation workflows.
Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies
In this paper, we report on first attempts and findings to analyzing German patient records, using a hybrid parsing architecture and a combination of two relation extraction strategies.
Annotating Relation Mentions in Tabloid Press
The current corpus is already in active use in our research for evaluation of the relation extraction performance of our automatically learned extraction patterns.
Language Resources and Annotation Tools for Cross-Sentence Relation Extraction
In this paper, we present a novel combination of two types of language resources dedicated to the detection of relevant relations (RE) such as events or facts across sentence boundaries.
Sprinter: Language Technologies for Interactive and Multimedia Language Learning
Modern language learning courses are no longer exclusively based on books or face-to-face lectures.
Evaluation of the KomParse Conversational Non-Player Characters in a Commercial Virtual World
The paper describes the evaluation of the KomParse system.
