Below you will find an overview of the corpora developed at the IMS.
Corpora of the IMS
| Title | Description |
|---|---|
| A Survey and Experiments on Annotated Corpora for Emotion Classification in Text | Aggregated corpus of emotion classification datasets |
| ANVAN-LS: Lexical Substitution for Evaluating Compositional Distributional Models | ANVAN-LS is a lexical substitution dataset for CDSM evaluation sampled from an English-language corpus with manual “all-words” lexical substitution annotation |
| Analysis of emotion communication channels in fan-fiction | A corpus of fan fiction excerpts, annotated with emotion channels and emotion |
| Appraisal-based Emotion Analysis | Corpora and Models for Appraisal-based Emotion Analysis |
| Author Regulatory Focus Detection | This dataset contains experimentally collected event description data and manually annotated twitter data, labeled with regulatory focus orientation of the author. |
| BASHI | BASHI is a corpus consisting of 50 Wall Street Journal (WSJ) articles which adds bridging anaphors and their antecedents to the other gold annotations that have been created as part of the OntoNotes project. Bridging anaphors are context-dependent expressions that do not refer to the same entity as their antecedent, but to a related entity |
| Biomedical Fact-Checking in Tweets | Resources for Biomedical Fact-Checking and bioNER in Tweets |
| CPM Corpus | An emotion corpus annotated with emotion components |
| Chess Dataset | This corpus consists of annotated chess games that were posted on chess.com |
| Clean Corpus of Historical American English (CCOHA) | Cleaned version of the Corpus of Historical American English (COHA) |
| CoInCo: Concepts in Context | An English corpus that adds add-words lexical substitution annotation to a sample of the newswire and fiction genres of the freely available MASC corpus |
| Comparisons in Product Reviews | Sentences from camera reviews annotated with comparisons |
| DEmaNet | Corpus DEmaNet |
| DIRE dataset | Dataset from Boleda et al. IWCS 2017 |
| DIRNDL | (D)iscourse (I)nformation (R)adio (N)ews (D)atabase for (L)inguistic Analysis – is a corpus resource based on hourly broadcast German radio news |
| Data and Implementation for "Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters" | Data for NAACL 2019 publication of Evgeny Kim and Roman Klinger |
| Data and Implementation for German Satire Detection with Adversarial Training | Source with documentation |
| Data for the Intensifiers in the context of emotions | Data for the papers: "Florian Strohm and Roman Klinger. An empirical analysis of the role of amplifiers, downtoners, and negations in emotion classification in microblogs.", and "Laura Ana Maria Bostan and Roman Klinger. Exploring fine-tuned embeddings that model intensifiers for emotion analysis." |
| DeFaBel: A Corpus of Belief-based Deception | DeFaBel: A Corpus of Belief-based Deception |
| Determinants of Grader Agreement: An Analysis of Multiple Short Answer Corpora | Determinants of Grader Agreement: An Analysis of Multiple Short Answer Corpora |
| Europarl Nominal Compound Database | The Europarl Nominal Compound Database (ENCD) was automatically extracted from Europarl v7 of OPUS. This database contains English nominal compounds and their equivalents in up to nine languages |
| Europarl Nominal Compoundhood Ratings | The Europarl Nominal Compoundhood Ratings (ENCR) is a selection of 394 sentences from the English portion of the Europarl corpus (Europarl v7, OPUS), annotated with 824 candidate compounds |
| Event-focused Emotion Corpora for German and English | German and English emotion corpora for emotion classification, annotated with crowdsourcing in the style of the ISEAR resources |
| GRAIN | The GRAIN corpus -- (G)erman-(RA)dio-(IN)terviews -- based on weekly broadcasted radio interviews We present GRAIN (German RAdio INterviews) as part of the SFB732 Silver Standard Collection |
| GRAIN-S | GRAIN-S -- Manually annotated (S)yntax for (G)erman (RA)dio (IN)terviews |
| GerDraCor-Coref - German Drama Corpus for Coreference | A corpus with coreference annotations for German dramatic texts |
| GerSti | A German Emotion Stimulus Corpus of News Headlines |
| GoodNewsEveryone | An annotation of the SemEval 2016 Twitter stance and sentiment corpus with emotion labels |
| Huge German Corpus (HGC) | The "Huge German Corpus" (HGC) is a collection of German-language texts (newspaper articles and legal texts) prepared for use with the IMS Corpus Workbench (CWB) |
| IMS Citation Corpus | Online appendix to the COLING 2012 paper "Towards a Generic and Flexible Citation Classifier Based on a Faceted Classification Scheme." |
| IMS GECO database | Speech corpus of spontaneous conversations including participants' mutual social ratings and personality factors |
| IMSCONV database | Corpus for investigating convergence in spontaneous speech dialogues |
| Multi-Modal Emotion Recognition Corpus of Reddit Posts | Multi-Modal Emotion Recognition Corpus of Reddit Posts |
| Multilingual parallel TED talk dataset | Multilingual parallel TED talk dataset |
| NLI corpora (Stehwien & Pado 2015) | Data for the paper "Generalization in Native Language Identification -- Learners versus Scientists" (Stehwien & Pado CLiC 2015) |
| Obituary Corpus | Orbituaries annotated in sections |
| REMAN - Relational Emotion Annotation for Fiction | Relational EMotion ANnotation – a corpus with 1720 fictional text exceprts from the Project Gutenberg |
| Referential Distributional Semantics: City and Country Datasets | City und Country-Datensätze aus Gupta et al. EMNLP 2015 |
| Resources for Emotion Analysis | A collection of ressources created at IMS related to emotion and sentiment analysis |
| RiQuA – Rich Quotation Analysis Corpus | A corpus of English literary texts, annotated for quotations including their social structures. |
| SCARE - The Sentiment Corpus of App Reviews with Fine-grained Annotations in German | Fine-grained annotations for mobile application reviews |
| SciCorp | Corpus of full-text English scientific papers of genetics and computational linguistics |
| SdeWaC | SdeWaC is based on the deWaC web corpus of the WaCky-Initative. SdeWaC contains parsable sentences from deWaC documents of the .de domain |
| SemEval-2020 Task 1: English Test Data | English Test Data for SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection |
| SemEval-2020 Task 1: German Test Data | German Test Data for SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection |
| SemEval-2020 Task 1: Test data | Test data SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection der Universität Stuttgart |
| Sentiment Relevance Corpus | This corpus contains 3847 sentences, taken from 125 documents annotated for Sentiment Relevance. The data is a subset of the v2.0 movie polarity dataset (Pang & Lee, 2004) |
| Sich20 | Annotation & Jupyter Notebook for Pado & Hole 2020 (Distributional Analysis of Polysemous Function Words) |
| Span ID Meta Learning | Code and Material for Performance Prediction on Meta Learning |
| Stance Sentiment Emotion Corpus (SSEC) | An annotation of the SemEval 2016 Twitter stance and sentiment corpus with emotion labels |
| Stance and Hate/Offensive Speech Detection during the US2020 elections | Corpora and Models for Appraisal-based Emotion Analysis |
| TIGER Corpus | The TIGER Corpus consists of approximate 900,000 tokens (50,000 sentences) of German newspaper text, taken from the Frankfurter Rundschau. The corpus was semi-automatically POS-tagged and annotated with syntactic structure. Moreover, it contains morphological and lemma information for terminal nodes |
| UNIDECOR | UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection |
| USAGE Corpus | This USAGE corpus consists of annotations of Amazon reviews for different product categories in the languages German and English. The reviews themselves are not part of this data publication |
| Visual Emotion Corpus | Visual Emotion Corpus |
| Wind-Of-Change Corpora (WOCC) | This collection contains the corpora (lemma version) used for the experiments in Schlechtweg et. al (2019) |
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