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If you have a question about this list, please contact: . If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 55 talks in the archive. Challenges of Low-Resource Natural Language Processing: A Focus on Sentiment Analysis and Hate Speech Detection in Amharic
Reality Check: NLP in the era of Large Language Models
Navigating the AI Hype: Building Natural Language Processing for Low Resource Languages
An Affordance Account of Value Embedding in Technology: Why Good Intentions are Not Enough
Modular and Compositional Transfer Learning
GenBench -- State-of-the-art generalisation research in NLP
Towards Trustworthy Natural Language Processing
Decoding is deciding under uncertainty — the case of NMT
Efficient Structured Prediction on Long Texts
The Aston Forensic Linguistic Databank (FoLD)
(Modeling) Morality? On Machine Learning and Phrenology
An aperitivo of efforts against harming online contents: propaganda, hate speech, spam
Language (In)Equality in Parsing and Machine Translation: Data Size is Only One Term in the Equation
Diagnosing AI Explanation Methods with Folk Concepts of Behavior
Interactive and decomposed approaches for NLP: the case of multi-text summarization
Multilingual Autoregressive Entity Linking
Hugging Face: a hub for the whole ML community to collaborate
Using NLP and graph theory to capture speech abnormalities in psychosis
Learning from Past: Bringing Planning Back to Neural Generators
[POSTPONED] Parametric vs Nonparametric Knowledge, and what we can learn from Knowledge Bases
When do languages use the same word for different meanings? The Goldilocks Principle that shapes the lexicon
Towards Out-of-distribution generalization in NLP
Expectations vs. Reality: Lessons learned from Working on Toxic Content Detection in NLP
Sparse Latent Structure with Overlapping Constraints
Analyzing and Summarizing Movies using Turning Points
How language understanding unfolds in minds and machines
Integrating Human Cognition with Natural Language Processing
Toward Broad and Deep Language Understanding for Intelligent Systems
Exploring Feedback Comment Generation for Language Learners
NMT Analysis: The Trade-Off Between Source and Target, and (a Bit of) the Training Process
Challenges in evaluating natural language generation systemsNote unusual time
Beyond Facts: The Problem of Framing in Assessing What is TrueNote unusual time
Interpretability in NLP: Moving Beyond VisionNote unusual time
Typological Feature Prediction and Blinding for Cross-Lingual NLP
Incorporating Structure into NLP Models with Graph Neural Networks
Adaptation and Control in Enterprise Language Technology
Cross domain similarities and intra-person changes
Representation Learning for Text Retrieval: Learning and Pretraining Strategies for Dense RetrievalUnusual date and time
Title TBDNote unusual time
[RESCHEDULED] Typological Feature Prediction and Blinding for Cross-Lingual NLPRESCHEDULED TBD
Papers with Code and the automatic extraction of results from papers
The Science of Knowledge Equity - Research at Wikimedia
Detecting the "Fake News" Before It Was Even Written, Media Literacy, and Flattening the Curve of the COVID-19 Infodemic
A Graph-Based Framework for Structured Prediction Tasks in SanskritNote unusual time
Learning with Graphs in Natural Language Generation and Relation Extraction
Revisiting and re-evaluating rumour stance classification
Compositional Neural Meaning Representation Parsing
Predicting Text Readability and Reading Comprehension from Reading Interactions
How far have we come in giving our NLU systems common sense?Note time change
Five Sources of Biases and Ethical Issues in NLP, and What to Do about Them
What are the Goals of Distributional Semantics?
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Seid Muhie Yimam (HCDS, University of Hamburg).
Friday 19 May 2023, 12:00-13:00