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Found 33 papers, 11 papers with code
Tackling Irony Detection using Ensemble Classifiers
A different, more recent, development is the automatic augmentation of training data.
MS@IW at SemEval-2022 Task 4: Patronising and Condescending Language Detection with Synthetically Generated Data
In this description paper we outline the system architecture submitted to Task 4, Subtask 1 at SemEval-2022.
UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification of Toxic, Engaging and Fact-Claiming Comments
Exploring the issue of overfitting we uncovered that due to a bug in the pipeline the runs we submitted had not been trained on the full set but only on a small training set.
Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study
Machine Translation has made impressive progress in recent years offering close to human-level performance on many languages, but studies have primarily focused on high-resource languages with broad online presence and resources.
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations
Pre-training of neural networks has recently revolutionized the field of Natural Language Processing (NLP) and has before demonstrated its effectiveness in computer vision.
Is ChatGPT a Biomedical Expert? -- Exploring the Zero-Shot Performance of Current GPT Models in Biomedical Tasks
We assessed the performance of commercial Large Language Models (LLMs) GPT-3. 5-Turbo and GPT-4 on tasks from the 2023 BioASQ challenge.
Exploring Fake News Detection with Heterogeneous Social Media Context Graphs
Fake news detection has become a research area that goes way beyond a purely academic interest as it has direct implications on our society as a whole.
Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts
Although several datasets annotated for anaphoric reference/coreference exist, even the largest such datasets have limitations in terms of size, range of domains, coverage of anaphoric phenomena, and size of documents included.
A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court Transcripts
Recent progress in natural language processing has been impressive in many different areas with transformer-based approaches setting new benchmarks for a wide range of applications.
Applying Automatic Text Summarization for Fake News Detection
The distribution of fake news is not a new but a rapidly growing problem.
ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models
This paper describes our approach (ur-iw-hnt) for the Shared Task of GermEval2021 to identify toxic, engaging, and fact-claiming comments.
Interactive query expansion for professional search applications
Knowledge workers (such as healthcare information professionals, patent agents and recruitment professionals) undertake work tasks where search forms a core part of their duties.
Speaking Outside the Box: Exploring the Benefits of Unconstrained Input in Crowdsourcing and Citizen Science Platforms
Crowdsourcing approaches provide a difficult design challenge for developers.
A Mention-Pair Model of Annotation with Nonparametric User Communities
The model is also flexible enough to be used in standard annotation tasks for classification where it registers on par performance with the state of the art.
Crowdsourcing and Aggregating Nested Markable Annotations
One of the key steps in language resource creation is the identification of the text segments to be annotated, or markables, which depending on the task may vary from nominal chunks for named entity resolution to (potentially nested) noun phrases in coreference resolution (or mentions) to larger text segments in text segmentation.
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
The corpus, containing annotations for about 108, 000 markables, is one of the largest corpora for coreference for English, and one of the largest crowdsourced NLP corpora, but its main feature is the large number of judgments per markable: 20 on average, and over 2. 2M in total.
Information search in a professional context - exploring a collection of professional search tasks
Search conducted in a work context is an everyday activity that has been around since long before the Web was invented, yet we still seem to understand little about its general characteristics.
A Probabilistic Annotation Model for Crowdsourcing Coreference
The availability of large scale annotated corpora for coreference is essential to the development of the field.
Comparing Bayesian Models of Annotation
We evaluate these models along four aspects: comparison to gold labels, predictive accuracy for new annotations, annotator characterization, and item difficulty, using four datasets with varying degrees of noise in the form of random (spammy) annotators.
Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games
Many deep reinforcement learning approaches use graphical state representations, this means visually distinct games that share the same underlying structure cannot effectively share knowledge.
The OnForumS corpus from the Shared Task on Online Forum Summarisation at MultiLing 2015
In this paper we present the OnForumS corpus developed for the shared task of the same name on Online Forum Summarisation (OnForumS at MultiLing{'}15).
Towards a Corpus of Violence Acts in Arabic Social Media
In this paper we present a new corpus of Arabic tweets that mention some form of violent event, developed to support the automatic identification of Human Rights Abuse.
Phrase Detectives Corpus 1.0 Crowdsourced Anaphoric Coreference.
Corpora are typically annotated by several experts to create a gold standard; however, there are now compelling reasons to use a non-expert crowd to annotate text, driven by cost, speed and scalability.
Combining Minimally-supervised Methods for Arabic Named Entity Recognition
Supervised methods can achieve high performance on NLP tasks, such as Named Entity Recognition (NER), but new annotations are required for every new domain and/or genre change.
AraNLP: a Java-based Library for the Processing of Arabic Text.
We present a free, Java-based library named {``}AraNLP{''} that covers various Arabic text preprocessing tools.
Assessing Crowdsourcing Quality through Objective Tasks
For each run we assessed the results provided by 25 workers on a set of 10 tasks.
Applying Random Indexing to Structured Data to Find Contextually Similar Words
Our approach is based on exploiting the structure inherent in an RDF graph and then applying the methods from statistical semantics, and in particular, Random Indexing, in order to discover contextually related terms.
