Search Results for author:
Found 21 papers, 4 papers with code
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.
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.
Mitigating Learnerese Effects for CEFR Classification
The role of an author’s L1 in SLA can be challenging for automated CEFR classification, in that texts from different L1 groups may be too heterogeneous to combine them as training data.
Exploiting a lexical resource for discourse connective disambiguation in German
In this paper we focus on connective identification and sense classification for explicit discourse relations in German, as two individual sub-tasks of the overarching Shallow Discourse Parsing task.
Shallow Discourse Parsing for Under-Resourced Languages: Combining Machine Translation and Annotation Projection
Shallow Discourse Parsing (SDP), the identification of coherence relations between text spans, relies on large amounts of training data, which so far exists only for English - any other language is in this respect an under-resourced one.
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.
The Potsdam Commentary Corpus 2.2: Extending Annotations for Shallow Discourse Parsing
We present the Potsdam Commentary Corpus 2. 2, a German corpus of news editorials annotated on several different levels.
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.
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.
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.
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.
Multi-lingual and Cross-genre Discourse Unit Segmentation
We describe a series of experiments applied to data sets from different languages and genres annotated for coherence relations according to different theoretical frameworks.
Toward Cross-theory Discourse Relation Annotation
In this exploratory study, we attempt to automatically induce PDTB-style relations from RST trees.
Constructing a Lexicon of English Discourse Connectives
We present a new lexicon of English discourse connectives called DiMLex-Eng, built by merging information from two annotated corpora and an additional list of relation signals from the literature.
Identifying Explicit Discourse Connectives in German
We are working on an end-to-end Shallow Discourse Parsing system for German and in this paper focus on the first subtask: the identification of explicit connectives.
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.
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).
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.
