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Found 58 papers, 9 papers with code
GerCCT: An Annotated Corpus for Mining Arguments in German Tweets on Climate Change
In this paper we strive to fill this research gap by presenting GerCCT, a new corpus of German tweets on climate change, which was annotated for a set of different argument components and properties.
UPAppliedCL at GermEval 2021: Identifying Fact-Claiming and Engaging Facebook Comments Using Transformers
In this paper we present UPAppliedCL’s contribution to the GermEval 2021 Shared Task.
The Climate Change Debate and Natural Language Processing
The debate around climate change (CC)—its extent, its causes, and the necessary responses—is intense and of global importance.
Towards Identifying Alternative-Lexicalization Signals of Discourse Relations
The task of shallow discourse parsing in the Penn Discourse Treebank (PDTB) framework has traditionally been restricted to identifying those relations that are signaled by a discourse connective (“explicit”) and those that have no signal at all (“implicit”).
Extractive Summarisation for German-language Data: A Text-level Approach with Discourse Features
We examine the link between facets of Rhetorical Structure Theory (RST) and the selection of content for extractive summarisation, for German-language texts.
Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments
The long-term goal of our work is an intelligent tutoring system for German secondary schools, which will support students in a school exercise that requires them to identify arguments in an argumentative source text.
On Selecting Training Corpora for Cross-Domain Claim Detection
Identifying claims in text is a crucial first step in argument mining.
Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing
This paper studies a novel model that simplifies the disambiguation of connectives for explicit discourse relations.
Annotation and Detection of Arguments in Tweets
Notwithstanding the increasing role Twitter plays in modern political and social discourse, resources built for conducting argument mining on tweets remain limited.
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.
Variation in Coreference Strategies across Genres and Production Media
In response to (i) inconclusive results in the literature as to the properties of coreference chains in written versus spoken language, and (ii) a general lack of work on automatic coreference resolution on both spoken language and social media, we undertake a corpus study involving the various genre sections of Ontonotes, the Switchboard corpus, and a corpus of Twitter conversations.
Adapting Coreference Resolution to Twitter Conversations
The performance of standard coreference resolution is known to drop significantly on Twitter texts.
DiMLex-Bangla: A Lexicon of Bangla Discourse Connectives
We present DiMLex-Bangla, a newly developed lexicon of discourse connectives in Bangla.
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.
Semi-Supervised Tri-Training for Explicit Discourse Argument Expansion
This paper describes a novel application of semi-supervision for shallow discourse parsing.
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.
Window-Based Neural Tagging for Shallow Discourse Argument Labeling
This paper describes a novel approach for the task of end-to-end argument labeling in shallow discourse parsing.
Computational Argumentation Synthesis as a Language Modeling Task
Synthesis approaches in computational argumentation so far are restricted to generating claim-like argument units or short summaries of debates.
The Utility of Discourse Parsing Features for Predicting Argumentation Structure
Research on argumentation mining from text has frequently discussed relationships to discourse parsing, but few empirical results are available so far.
Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies
In the present study, we plan to analyze the speech signals of PD patients and healthy control (HC) subjects in three different languages: German, Spanish, and Czech, with the aim to identify biomarkers to discriminate between PD patients and HC subjects and to evaluate the neurological state of the patients.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Coherence models in schizophrenia
Speech samples were obtained from healthy controls and patients with a diagnosis of schizophrenia or schizoaffective disorder and different severity of positive formal thought disorder.
RST-Tace A tool for automatic comparison and evaluation of RST trees
This paper presents RST-Tace, a tool for automatic comparison and evaluation of RST trees.
Annotating Shallow Discourse Relations in Twitter Conversations
We confirm our hypothesis that discourse relations in written social media conversations are expressed differently than in (news) text.
More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing
We present an extension of an annotated corpus of short argumentative texts that had originally been built in a controlled text production experiment.
Stance-Taking in Topics Extracted from Vaccine-Related Tweets and Discussion Forum Posts
The occurrence of stance-taking towards vaccination was measured in documents extracted by topic modelling from two different corpora, one discussion forum corpus and one tweet corpus.
Argumentation Synthesis following Rhetorical Strategies
In this paper, we model rhetorical strategies for the computational synthesis of effective argumentation.
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.
Anaphora Resolution for Twitter Conversations: An Exploratory Study
We present a corpus study of pronominal anaphora on Twitter conversations.
Automatic detection of stance towards vaccination in online discussion forums
A classifier for automatic detection of stance towards vaccination in online forums was trained and evaluated.
Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities
In this paper, we examine the possibility of using annotation projection from multiple sources for automatically obtaining coreference annotations in the target language.
Towards assessing depth of argumentation
For analyzing argumentative text, we propose to study the {`}depth{'} of argumentation as one important component, which we distinguish from argument quality.
Generating Sentiment Lexicons for German Twitter
Despite a substantial progress made in developing new sentiment lexicon generation (SLG) methods for English, the task of transferring these approaches to other languages and domains in a sound way still remains open.
Parallel Discourse Annotations on a Corpus of Short Texts
We present the first corpus of texts annotated with two alternative approaches to discourse structure, Rhetorical Structure Theory (Mann and Thompson, 1988) and Segmented Discourse Representation Theory (Asher and Lascarides, 2003).
Adding Semantic Relations to a Large-Coverage Connective Lexicon of German
DiMLex is a lexicon of German connectives that can be used for various language understanding purposes.
Information structure in the Potsdam Commentary Corpus: Topics
The annotated corpus is freely available for research.
Potsdam Commentary Corpus 2.0: Annotation for Discourse Research
We present a revised and extended version of the Potsdam Commentary Corpus, a collection of 175 German newspaper commentaries (op-ed pieces) that has been annotated with syntax trees and three layers of discourse-level information: nominal coreference, connectives and their arguments (similar to the PDTB, Prasad et al. 2008), and trees reflecting discourse structure according to Rhetorical Structure Theory (Mann/Thompson 1988).
GraPAT: a Tool for Graph Annotations
We introduce GraPAT, a web-based annotation tool for building graph structures over text.
A Model for Processing Illocutionary Structures and Argumentation in Debates
In this paper, we briefly present the objectives of Inference Anchoring Theory (IAT) and the formal structure which is proposed for dialogues.
SemScribe: Natural Language Generation for Medical Reports
Natural language generation in the medical domain is heavily influenced by domain knowledge and genre-specific text characteristics.
