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Found 55 papers, 16 papers with code
Generating Extended and Multilingual Summaries with Pre-trained Transformers
Almost all summarisation methods and datasets focus on a single language and short summaries.
Making a Semantic Event-type Ontology Multilingual
We also show the next steps to adapt the annotation process, data structures and formats and tools necessary to make the addition of a new language in the future more smooth and efficient, and possibly to allow for various teams to work on SynSemClass extensions to many languages concurrently.
Claim Extraction and Law Matching for COVID-19-related Legislation
We investigate an automated approach to extract legal claims from news articles and to match the claims with their corresponding applicable laws.
Overview of the ELE Project
This paper provides an overview of the ongoing European Language Equality(ELE) project, an 18-month action funded by the European Commission which involves 52 partners.
Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments
We present a data set consisting of German news articles labeled for political bias on a five-point scale in a semi-supervised way.
DFKI SLT at GermEval 2021: Multilingual Pre-training and Data Augmentation for the Classification of Toxicity in Social Media Comments
Finally, the combination of the two techniques allows us to obtain an F1 score of 0. 6899 with XLM- RoBERTa and 0. 6859 with MT5.
Introducing the Digital Language Equality Metric: Contextual Factors
To assess the current state of play with regard to Europe’s languages, we developed, in the project European Language Equality, a metric for digital language equality that consists of two parts, technological and contextual (i. e., non-technological) factors.
Introducing the Digital Language Equality Metric: Technological Factors
The paper situates this ongoing work with a strong European focus in the broader context of related efforts, and explains how the DLE Metric can help track the progress towards DLE for all languages of Europe, focusing in particular on the role played by the TFs.
Semantic Relations between Text Segments for Semantic Storytelling: Annotation Tool - Dataset - Evaluation
Essential is the automated processing of text segments extracted from different content resources by identifying the relevance of a text segment to a topic and its semantic relation to other text segments.
A Dataset of Offensive German Language Tweets Annotated for Speech Acts
We present a dataset consisting of German offensive and non-offensive tweets, annotated for speech acts.
Towards Practical Semantic Interoperability in NLP Platforms
Interoperability is a necessity for the resolution of complex tasks that require the interconnection of several NLP services.
Investigating Gender Bias in Turkish Language Models
However, prior research has primarily focused on the English language, especially in the context of gender bias.
Toward FAIR Semantic Publishing of Research Dataset Metadata in the Open Research Knowledge Graph
We design a specific application of the ORKG-Dataset semantic model based on 40 diverse research datasets on scientific information extraction.
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
To address this problem, we introduce a cross-lingual and progressive transfer learning approach, called CLP-Transfer, that transfers models from a source language, for which pretrained models are publicly available, like English, to a new target language.
User Experience Design for Automatic Credibility Assessment of News Content About COVID-19
The increasingly rapid spread of information about COVID-19 on the web calls for automatic measures of quality assurance.
Specialized Document Embeddings for Aspect-based Similarity of Research Papers
We compare and analyze three generic document embeddings, six specialized document embeddings and a pairwise classification baseline in the context of research paper recommendations.
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information
Using various experimental settings on three datasets (i. e., CNN/DailyMail, PubMed and arXiv), our HiStruct+ model outperforms a strong baseline collectively, which differs from our model only in that the hierarchical structure information is not injected.
Ranked #12 on
Text Summarization
on Pubmed
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Learning scientific document representations can be substantially improved through contrastive learning objectives, where the challenge lies in creating positive and negative training samples that encode the desired similarity semantics.
Ranked #1 on
Document Classification
on SciDocs (MeSH)
Evaluating Document Representations for Content-based Legal Literature Recommendations
Simultaneously, legal recommender systems are typically evaluated in small-scale user study without any public available benchmark datasets.
European Language Grid: A Joint Platform for the European Language Technology Community
Europe is a multilingual society, in which dozens of languages are spoken.
Aspect-based Document Similarity for Research Papers
Our findings motivate future research of aspect-based document similarity and the development of a recommender system based on the evaluated techniques.
A Workflow Manager for Complex NLP and Content Curation Workflows
We present a workflow manager for the flexible creation and customisation of NLP processing pipelines.
QURATOR: Innovative Technologies for Content and Data Curation
In all domains and sectors, the demand for intelligent systems to support the processing and generation of digital content is rapidly increasing.
Towards Discourse Parsing-inspired Semantic Storytelling
Previous work of ours on Semantic Storytelling uses text analytics procedures including Named Entity Recognition and Event Detection.
Observations on Annotations
Annotations can be annotated themselves using more abstract annotations.
Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
With regard to the wider area of AI/LT platform interoperability, we concentrate on two core aspects: (1) cross-platform search and discovery of resources and services; (2) composition of cross-platform service workflows.
A Workflow Manager for Complex NLP and Content Curation Pipelines
We present a workflow manager for the flexible creation and customisation of NLP processing pipelines.
Making Metadata Fit for Next Generation Language Technology Platforms: The Metadata Schema of the European Language Grid
In this paper we present ELG-SHARE, a rich metadata schema catering for the description of Language Resources and Technologies (processing and generation services and tools, models, corpora, term lists, etc.
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality.
European Language Grid: An Overview
With 24 official EU and many additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs).
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling
The results of our models are compared to a baseline and the state-of-the-art models on the CNN/Daily Mail dataset.
Named Entities in Medical Case Reports: Corpus and Experiments
We present a new corpus comprising annotations of medical entities in case reports, originating from PubMed Central's open access library.
A Dataset of German Legal Documents for Named Entity Recognition
We describe a dataset developed for Named Entity Recognition in German federal court decisions.
Orchestrating NLP Services for the Legal Domain
Legal technology is currently receiving a lot of attention from various angles.
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles
In this paper, we model the problem of finding the relationship between two documents as a pairwise document classification task.
Enriching BERT with Knowledge Graph Embeddings for Document Classification
In this paper, we focus on the classification of books using short descriptive texts (cover blurbs) and additional metadata.
Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services
We present a portfolio of natural legal language processing and document curation services currently under development in a collaborative European project.
Semantic Storytelling, Cross-lingual Event Detection and other Semantic Services for a Newsroom Content Curation Dashboard
We present a prototypical content curation dashboard, to be used in the newsroom, and several of its underlying semantic content analysis components (such as named entity recognition, entity linking, summarisation and temporal expression analysis).
From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles
We present a system for the detection of the stance of headlines with regard to their corresponding article bodies.
Event Detection and Semantic Storytelling: Generating a Travelogue from a large Collection of Personal Letters
We present an approach at identifying a specific class of events, movement action events (MAEs), in a data set that consists of ca.
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics
We describe our submissions for SemEval-2017 Task 8, Determining Rumour Veracity and Support for Rumours.
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.
The Language Resource Life Cycle: Towards a Generic Model for Creating, Maintaining, Using and Distributing Language Resources
The different phases that involve creating and distributing an LR can be conceptualised as a life cycle.
Fostering the Next Generation of European Language Technology: Recent Developments ― Emerging Initiatives ― Challenges and Opportunities
META-NET is a European network of excellence, founded in 2010, that consists of 60 research centres in 34 European countries.
META-SHARE: One year after
This paper presents META-SHARE (www. meta-share. eu), an open language resource infrastructure, and its usage since its Europe-wide deployment in early 2013.
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.
