Annotated Corpora
Related Papers
OntoNotes: Corpus Cleanup of Mistaken Agreement Using Word Sense Disambiguation
Annotated corpora are only useful if their annotations are consistent. Most large-scale annotation efforts take special measures to reconcile inter-annotator disagreement. To date, however, no-one has investigated how to automatically …...
Djangology: A Light-weight Web-based Tool for Distributed Collaborative Text Annotation
AbstractManual text annotation is a resource-consuming endeavor necessary for NLP systems when they target new tasks or domains for which there are no existing annotated corpora. Distributing the annotation work …...
NLGbAse: A Free Linguistic Resource for Natural Language Processing Systems
AbstractAvailability of labeled language resources, such as annotated corpora and domain dependent labeled language resources is crucial for experiments in the field of Natural Language Processing. Most often, due to …...
The JOS Linguistically Tagged Corpus of Slovene
AbstractThe JOS language resources are meant to facilitate developments of HLT and corpus linguistics for the Slovene language and consist of the morphosyntactic specifications, defining the Slovene morphosyntactic features and …...
A Concise Query Language with Search and Transform Operations for Corpora with Multiple Levels of Annotation
AbstractThe usefulness of annotated corpora is greatly increased if there is an associated tool that can allow various kinds of operations to be performed in a simple way. Different kinds …...
First Steps towards the Semi-automatic Development of a Wordformation-based Lexicon of Latin
AbstractAlthough lexicography of Latin has a long tradition dating back to ancient grammarians, and almost all Latin grammars devote to wordformation at least one part of the section(s) concerning morphology, …...
Measuring the Divergence of Dependency Structures Cross-Linguistically to Improve Syntactic Projection Algorithms
AbstractSyntactic parses can provide valuable information for many NLP tasks, such as machine translation, semantic analysis, etc. However, most of the world's languages do not have large amounts of syntactically …...
Mining Partial Annotation Rules for Named Entity Recognition (Fouille de règles d’annotation partielles pour la reconnaissance des entités nommées) [in French]
Mining Partial Annotation Rules for Named Entity Recognition During the last decades, the unremitting increase of numeric data available has led to a more and more urgent need for efficient …...
A Unified Annotation Scheme for the Semantic/Pragmatic Components of Definiteness
AbstractWe present a definiteness annotation scheme that captures the semantic, pragmatic, and discourse information, which we call communicative functions, associated with linguistic descriptions such as “a story about my speech”, …...
Annotation of specialized corpora using a comprehensive entity and relation scheme
AbstractAnnotated corpora are essential resources for many applications in Natural Language Processing. They provide insight on the linguistic and semantic characteristics of the genre and domain covered, and can be …...
Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines
AbstractCrowdsourcing is an emerging collaborative approach that can be used for the acquisition of annotated corpora and a wide range of other linguistic resources. Although the use of this approach …...
The Development of the Multilingual LUNA Corpus for Spoken Language System Porting
AbstractThe development of annotated corpora is a critical process in the development of speech applications for multiple target languages. While the technology to develop a monolingual speech application has reached …...
UMCC_DLSI: A Probabilistic Automata for Aspect Based Sentiment Analysis
This work introduces a new approach for aspect based sentiment analysis task. Its main purpose is to automatically assign the correct polarity for the aspect term in a phrase. It …...
UMCC_DLSI: Sentiment Analysis in Twitter using Polirity Lexicons and Tweet Similarity
This paper describes a system sub- mitted to SemEval-2014 Task 4B: Sentiment Analysis in Twitter, by the team UMCC DLSI Sem integrated by researchers of the University of Matanzas, Cuba …...
Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse
Analyzing arguments in user-generated Web discourse has recently gained atten- tion in argumentation mining, an evolving field of NLP. Current approaches, which employ fully-supervised machine learn- ing, are usually domain …...
Using Content-level Structures for Summarizing Microblog Repost Trees
A microblog repost tree provides strong clues on how an event described therein develops. To help social media users capture the main clues of events on mi- croblogging sites, we …...
Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax
AbstractThis article presents the results we obtained on a complex annotation task (that of dependency syntax) using a specifically designed Game with a Purpose, ZombiLingo. We show that with suitable …...
Exploring the Realization of Irony in Twitter Data
AbstractHandling figurative language like irony is currently a challenging task in natural language processing. Since irony is commonly used in user-generated content, its presence can significantly undermine accurate analysis of …...
Compilation of Corpora for the Study of the Information Structure–Prosody Interface
Theoretical studies on the Information Structure–prosody interface argue that the content packaged in terms of theme and rheme correlates with the intonation of the corresponding sentence. However, there are few …...
Corpora with Part-of-Speech Annotations for Three Regional Languages of France: Alsatian, Occitan and Picard
This article describes the creation of corpora with part-of-speech annotations for three regional languages of France: Alsatian, Occitan and Picard. These manual annotations were performed in the context of the …...
Inducing Temporal Relations from Time Anchor Annotation
AbstractRecognizing temporal relations among events and time expressions has been an essential but challenging task in natural language processing. Conventional annotation of judging temporal relations puts a heavy load on …...
Learning Hierarchical Discourse-level Structure for Fake News Detection
AbstractOn the one hand, nowadays, fake news articles are easily propagated through various online media platforms and have become a grand threat to the trustworthiness of information. On the other …...
Turning silver into gold: error-focused corpus reannotation with active learning
AbstractWhile high quality gold standard annotated corpora are crucial for most tasks in natural language processing, many annotated corpora published in recent years, created by annotators or tools, contains noisy …...
Zero-Shot Cross-Lingual Opinion Target Extraction
AbstractAspect-based sentiment analysis involves the recognition of so called opinion target expressions (OTEs). To automatically extract OTEs, supervised learning algorithms are usually employed which are trained on manually annotated corpora. …...
Corpora Annotated with Negation: An Overview
AbstractNegation is a universal linguistic phenomenon with a great qualitative impact on natural language processing applications. The availability of corpora annotated with negation is essential to training negation processing systems. …...
Improving Sentiment Analysis over non-English Tweets using Multilingual Transformers and Automatic Translation for Data-Augmentation
AbstractTweets are specific text data when compared to general text. Although sentiment analysis over tweets has become very popular in the last decade for English, it is still difficult to …...
Multi-domain Tweet Corpora for Sentiment Analysis: Resource Creation and Evaluation
AbstractDue to the phenomenal growth of online content in recent time, sentiment analysis has attracted attention of the researchers and developers. A number of benchmark annotated corpora are available for …...
Searching Brazilian Twitter for Signs of Mental Health Issues
AbstractDepression and related mental health issues are often reflected in the language employed by the individuals who suffer from these conditions and, accordingly, research in Natural Language Processing (NLP) and …...
Semantic Annotation for Improved Safety in Construction Work
AbstractRisk management is a vital activity to ensure employee safety in construction projects. Various documents provide important supporting evidence, including details of previous incidents, consequences and mitigation strategies. Potential hazards …...
Tell Me What You Read: Automatic Expertise-Based Annotator Assignment for Text Annotation in Expert Domains
AbstractThis paper investigates the effectiveness of automatic annotator assignment for text annotation in expert domains. In the task of creating high-quality annotated corpora, expert domains often cover multiple sub-domains (e.g. …...
ChiSense-12: An English Sense-Annotated Child-Directed Speech Corpus
AbstractLanguage acquisition research has benefitted from the use of annotated corpora of child-directed speech to examine key questions about how children learn and process language in real-world contexts. However, a …...
ArgU: A Controllable Factual Argument Generator
AbstractEffective argumentation is essential towards a purposeful conversation with a satisfactory outcome. For example, persuading someone to reconsider smoking might involve empathetic, well founded arguments based on facts and expert …...
Lessons Learned from a Citizen Science Project for Natural Language Processing
AbstractMany Natural Language Processing (NLP) systems use annotated corpora for training and evaluation. However, labeled data is often costly to obtain and scaling annotation projects is difficult, which is why …...