Search Results for author: Manfred Stede

Found 58 papers, 9 papers with code

The Climate Change Debate and Natural Language Processing

no code implementations ACL (NLP4PosImpact) 2021 Manfred Stede, Ronny Patz

The debate around climate change (CC)—its extent, its causes, and the necessary responses—is intense and of global importance.

Annotation and Detection of Arguments in Tweets

1 code implementation COLING (ArgMining) 2020 Robin Schaefer, Manfred Stede

Notwithstanding the increasing role Twitter plays in modern political and social discourse, resources built for conducting argument mining on tweets remain limited.

Argument Mining

GerCCT: An Annotated Corpus for Mining Arguments in German Tweets on Climate Change

no code implementations LREC 2022 Robin Schaefer, Manfred Stede

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.

Argument Mining

Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments

no code implementations LREC 2022 Xiaoyu Bai, Manfred Stede

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.

Question Answering text-classification +2

Towards Identifying Alternative-Lexicalization Signals of Discourse Relations

no code implementations COLING 2022 René Knaebel, Manfred Stede

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”).

Discourse Parsing

Extractive Summarisation for German-language Data: A Text-level Approach with Discourse Features

2 code implementations COLING 2022 Freya Hewett, Manfred Stede

We examine the link between facets of Rhetorical Structure Theory (RST) and the selection of content for extractive summarisation, for German-language texts.


Exploiting a lexical resource for discourse connective disambiguation in German

no code implementations COLING 2020 Peter Bourgonje, Manfred Stede

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.

Classification Discourse Parsing

Variation in Coreference Strategies across Genres and Production Media

1 code implementation COLING 2020 Berfin Akta{\c{s}}, Manfred Stede

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.


Shallow Discourse Parsing for Under-Resourced Languages: Combining Machine Translation and Annotation Projection

no code implementations LREC 2020 Henny Sluyter-G{\"a}thje, Peter Bourgonje, Manfred Stede

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.

Discourse Parsing Machine Translation +1

The Potsdam Commentary Corpus 2.2: Extending Annotations for Shallow Discourse Parsing

no code implementations LREC 2020 Peter Bourgonje, Manfred Stede

We present the Potsdam Commentary Corpus 2. 2, a German corpus of news editorials annotated on several different levels.

Discourse Parsing Relation

Window-Based Neural Tagging for Shallow Discourse Argument Labeling

no code implementations CONLL 2019 Ren{\'e} Knaebel, Manfred Stede, Sebastian Stober

This paper describes a novel approach for the task of end-to-end argument labeling in shallow discourse parsing.

Discourse Parsing

Computational Argumentation Synthesis as a Language Modeling Task

no code implementations WS 2019 Roxanne El Baff, Henning Wachsmuth, Khalid Al Khatib, Manfred Stede, Benno Stein

Synthesis approaches in computational argumentation so far are restricted to generating claim-like argument units or short summaries of debates.

Language Modelling

The Utility of Discourse Parsing Features for Predicting Argumentation Structure

no code implementations WS 2019 Freya Hewett, Roshan Prakash Rane, Nina Harlacher, Manfred Stede

Research on argumentation mining from text has frequently discussed relationships to discourse parsing, but few empirical results are available so far.

Discourse Parsing

Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies

no code implementations ACL 2019 Nina Hosseini-Kivanani, Juan Camilo V{\'a}squez-Correa, Manfred Stede, Elmar N{\"o}th

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) +1

Annotating Shallow Discourse Relations in Twitter Conversations

no code implementations WS 2019 Tatjana Scheffler, Berfin Akta{\c{s}}, Debopam Das, Manfred Stede

We confirm our hypothesis that discourse relations in written social media conversations are expressed differently than in (news) text.

Coherence models in schizophrenia

no code implementations WS 2019 S Just, ra, Erik Haegert, Nora Ko{\v{r}}{\'a}nov{\'a}, Anna-Lena Br{\"o}cker, Ivan Nenchev, Jakob Funcke, Christiane Montag, Manfred Stede

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.

Sentence Word Embeddings

More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing

no code implementations WS 2018 Maria Skeppstedt, Andreas Peldszus, Manfred Stede

We present an extension of an annotated corpus of short argumentative texts that had originally been built in a controlled text production experiment.

Argument Mining

Stance-Taking in Topics Extracted from Vaccine-Related Tweets and Discussion Forum Posts

no code implementations WS 2018 Maria Skeppstedt, Manfred Stede, Andreas Kerren

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.

Identifying Explicit Discourse Connectives in German

no code implementations WS 2018 Peter Bourgonje, Manfred Stede

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.

Discourse Parsing

Constructing a Lexicon of English Discourse Connectives

no code implementations WS 2018 Debopam Das, Tatjana Scheffler, Peter Bourgonje, Manfred Stede

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.

Machine Translation Text Summarization

Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities

no code implementations WS 2017 Yulia Grishina, Manfred Stede

In this paper, we examine the possibility of using annotation projection from multiple sources for automatically obtaining coreference annotations in the target language.

Coreference Resolution Named Entity Recognition (NER)

Towards assessing depth of argumentation

no code implementations COLING 2016 Manfred Stede

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

1 code implementation WS 2016 Uladzimir Sidarenka, Manfred Stede

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

no code implementations LREC 2016 Manfred Stede, Stergos Afantenos, Andreas Peldszus, Nicholas Asher, J{\'e}r{\'e}my Perret

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

1 code implementation LREC 2016 Tatjana Scheffler, Manfred Stede

DiMLex is a lexicon of German connectives that can be used for various language understanding purposes.

Potsdam Commentary Corpus 2.0: Annotation for Discourse Research

1 code implementation LREC 2014 Manfred Stede, Arne Neumann

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).

A Model for Processing Illocutionary Structures and Argumentation in Debates

no code implementations LREC 2014 Kasia Budzynska, Mathilde Janier, Chris Reed, Patrick Saint-Dizier, Manfred Stede, Olena Yakorska

In this paper, we briefly present the objectives of Inference Anchoring Theory (IAT) and the formal structure which is proposed for dialogues.

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