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Computing Education Research
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The Raspberry Pi Foundation hosts regular online seminars focusing on current computing education research topics. Featuring presentations from researchers from around the world, the seminars provide the opportunity to hear about some of the latest work in the field of computing education research, make connections with fellow researchers, and take part in discussions. https://www.raspberrypi.org/computing-education-research-online-seminars/ If you have a question about this list, please contact: Alastair Beresford; Sue Sentance; Matthew Patterson. If you have a question about a specific talk, click on that talk to find its organiser. 6 upcoming talks and 450 talks in the archive. The Past, Present and Future of Tokenization
Scansion-based Lyric Generation
Linguistics in the Age of Large Language Models.
10 Slides on Human Feedback
Adaptive Tokenization and Memory in Foundation Models
Language Modelling with Phonemes
Truth conditions at scale, and beyond
NLIP 2024 Social: Meet New PhD Students
The tradeoff governing efficient language model architectures
Evaluating Large Language Models as Model Systems for Language
Open-Endedness and General Intelligence
The intersection of Interpretability and Fairness
Automated Fact-Checking of Climate Change Claims with Large Language Models
Title to be confirmed
Generative AI in programming education: Bridging the gap from school to what lies ahead
Misinformation: Will it get better or worse and what can we do about it?
The impact of AI tools on the student experience in programming courses: A preliminary study with an intersectional analysis approach
Understanding Comparative Questions and Retrieving Argumentative Answers
LLMs: Everything’s Different and Nothing Has Changed
Integrating Combinatorial Solvers and Neural Models
Scaling Multilingual Generation for Low-Resource Languages
LLM-powered code generators in K–12 self-paced computing education
Employing Psycholinguistics to Understand Decoding in Probabilistic Language Generators
This talk is cancelled - Modeling Cognitive Complexity in NLP
Revisiting the Optimality of Word Lengths
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
AI Education in Finland: technology for the 'AI generation'
Using generative AI to create personalised Parson's Problems and explanations
Grounded cognition and computer science conceptual understanding in young children
Fairness Evaluation in Generative NLP
Efficiency by Construction
Numerical Reasoning in Natural Language Processing
Computational thinking in primary schooling: Thinking beyond computer science
Avoiding AI's "Moore's Law": Why we are building a ladder to the moon
Natural Language Processing for Text-to-Speech Synthesis
Collaborative Pretraining on Evolving Pretraining and Small Manageable Tasks
Engaging primary (K-5) computing teachers in culturally relevant pedagogy through professional development
Does Syntax Still Matter in the World of LLMs?
Giving appropriate feedback to primary school children
Investigating Reasons for Disagreement in Natural Language Inference
Young children’s ScratchJr project scores and processes across a 12-week coding curriculum
Fighting Misinformation in Science Communication with NLP
Interpretable Multi-hop Question Answering
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
Teaching primary learners how to be data citizens
Improving Model Robustness for Natural Language Inference
Navigating the AI Hype: Building Natural Language Processing for Low Resource Languages
Teaching primary learners how to be data citizens
An Affordance Account of Value Embedding in Technology: Why Good Intentions are Not Enough
Modular and Compositional Transfer Learning
Narrative Summarization from Multiple Views
Moving from equity to justice in computing instruction for youth
Processing Multiword Expressions for Grammatical Error Correction
GenBench -- State-of-the-art generalisation research in NLP
Exploring and Controlling Social Values in Large Language Models through Role-Playing
Variables: Coordinating research with elementary classroom realities
Rethinking the role of tokenization in the NLP pipeline
Towards Trustworthy Natural Language Processing
Women@CL Talkets
Decoding is deciding under uncertainty — the case of NMT
NLP for Science: Advances and Challenges
Efficient Structured Prediction on Long Texts
A study of recent techniques to estimate the difficulty of exam questions from text
The Aston Forensic Linguistic Databank (FoLD)
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction
Pitfalls with ablation in neural network architectures
(Modeling) Morality? On Machine Learning and Phrenology
An aperitivo of efforts against harming online contents: propaganda, hate speech, spam
Measuring Causal Effects of Data Statistics on Language Model Predictions
Language (In)Equality in Parsing and Machine Translation: Data Size is Only One Term in the Equation
Neuro-Symbolic Deep Natural Language Understanding
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
Teaching Artificial Intelligence in K-12Please sign up @ https://www.raspberrypi.org/computing-education-research-online-seminars/
What is it about AI that makes it useful for teachers and learners?Please sign up @ https://www.raspberrypi.org/computing-education-research-online-seminars/
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
ML education for K-12: emerging trajectoriesPlease sign up @ https://www.raspberrypi.org/computing-education-research-online-seminars/
Toward Broad and Deep Language Understanding for Intelligent Systems
Exploring Feedback Comment Generation for Language Learners
Exploring the data-driven world: Teaching AI and ML from a data-centric perspectivePlease sign up @ https://www.raspberrypi.org/computing-education-research-online-seminars/
AI Ethics and Engagement with Children and Young PeoplePlease sign up @ https://www.raspberrypi.org/computing-education-research-online-seminars/
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
[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
Improving Speech Translation with Linguistically-Informed Representations
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?
Towards explainable fact checking
Achieving Verified Robustness to Adversarial NLP InputsNote later start
Methodological advances in creating time sensitive sensors from language and heterogeneous user generated contentRescheduled
Reducing gender bias in neural machine translation as a domain adaptation problemOnline Seminar
Evaluating Deep Generative Models on Out-of-Distribution Inputs
Learning Tensors and Random Matrix Theory
Shaping Recommendations in a Marketplace via User & Content Understanding
Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension
Zero-shot Language Learning through Bayesian Neural Models
Can we optimise fashion ecommerce using NLG?Note: earlier time of 11am
Unsupervised cross-lingual representation learningRoom Change: LT1
CANCELLED Probabilistic models of graphs for meaning representationsExtra talk: note unusual day and time
Ethical considerations for responsible designRoom Change: LT1
A Mutual Information Maximization Perspective of Language Representation Learning
Automatic Analysis of Affect and Personality Analysis in Multiperson Settings
Multimodal natural language processing: when text is not enough
‘Profit factory’ and ‘bathroom break’: How to analyse compounds and how to predict their emergence
Natural Language Generation in the Wild
Duolingo: Improving Language Learning and Assessment with A.I.
An Operation Sequence Model for Explainable Neural Machine Translation
Continuous feature structures: Can we learn structured representations with neural networks?
Towards secure and efficient DNNs
Mitigating Gender Bias in Morphologically Rich Languages
AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI
Languages* in Formal Reasoning: Accessibility vs. Formality
Word Sense Disambiguation and Other Systems in Japanese
K.A.T.E.: Scaling personalised tech education for professionals
Learning multi-domain dialogues
Large-scale analyses of language variation and change in social media
Understanding Source Code using Natural Language and Graph Neural Networks
Learning to navigate without a map (but with instructions)
Topic-Aware Convolutional Neural Networks for Extreme Summarization
**CANCELLED** Probabilistic Typology: Deep Generative Models of Vowel Inventories
What makes psychotherapy work? Using deep learning to quantify the relationship between therapy content and outcomes
Graph Neural Networks for Knowledge Base Question AnsweringRoom changed
The Ethics of Artificially Intelligent Communications TechnologyRoom changed
Knowledge Representation and Extraction at Scale
Deep learning for automatically assessing the pronunciation of non-native English speakers
Learning, Representing, and Understanding Language
Some lessons learned in Multimodal Representations and Transfer
Imitation learning, zero-shot learning and automated fact checking
Functional Distributional Semantics: Learning Linguistically Informed Representations from a Precisely Annotated Corpus
Learning hierarchical structure: strong learning of PCFGs
NAACL practice talks
The potential of synthetic data for more informative evaluation in Visual Question Answering
Emergent Communication through Negotiation
Predictive Uncertainty in Deep Learning
Multilingual NLP via Cross-Lingual Word Embeddings
Virtual bargaining as a micro-foundation for communicationNote unusual time
Jointly Learning Syntax and Semantics
Constructing datasets for multi-hop reading comprehension across documents
Deep reinforcement learning for dialogue policy optimisation
Pruning and grafting syntactic trees for cross-lingual transfer tasks
Imitation learning for structured prediction and automated fact checking
Labelling Topics Using Neural Networks
Grounded language learning in simulated worlds
Towards More Robust and Interpretable Models for Structured Prediction and Language Generation
Neural Models for Information Retrieval
Text-to-text Generation Beyond Machine Translation
Finite-State Transducers as a Theory of Dependency Structured Natural Language
Deep NLP in language tutoring
Predicting Rich Linguistic Structure with Neural Networks
Functional Distributional Semantics
NLP, the perfect social (media) science?
Text Simplification: Where are we now, and where are we headed?
Neural Architectures for Sequence Labelling
Neural Belief Tracker: Data-Driven Dialogue State Tracking using Semantically Specialised Vector Spaces
Neural Variational Inference for NLP
Research Students Lecture Series Interaction design with aspects of cognitive psychology
Learning Hierarchical Word and Sentence Representations
Research Students Lecture Series Verified Programming in Agda
Research Students Lecture Series A trip down long short-term memory lane
Imitation learning for language generation from unaligned data
Learning Commonsense Event Schemas from Unlabeled Text
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems
Learning to Detect Stance and Represent Emojis
Recommending relevant citations using CoreSC and Argumentative Zoning
Open Source and NLPA special one day workshop.
Text Readability Assessment for Second Language Learners
Strong Structural Priors for Neural Network Architectures
Incremental CCG parsing and its applications
Conversation Trees: A Grammar Model for Topic Structure in Online Forums
Generating Natural-Language Video Descriptions using LSTM Recurrent Neural Networks
Maternal Health in Uganda: Listen Intelligently to Local Voices combining Language and Technology
From passive to interactive (multimodal) language learning
Where Can I Buy a Boulder? Searching for Offline Retail Locations
Texts Come from People - How Demographic Factors Influence NLP Models
Tracing concepts through time
General-Purpose Representation Learning from Words to Sentences***PLEASE NOTE CHANGED (DIFFERENT) TIME***
Understanding generative learning in the individual brain
Data Science at The Guardian
What Happens Next? Event Prediction Using a Compositional Neural Network Model
Modern Deep Learning through Bayesian Eyes
Multilingual Image Description with Neural Sequence Models
Sentence Entailment in Categorical Compositional Distributional Semantics
Efficient Constrained Inference and Structured Neural Networks for Semantic Role Labeling
Lacking Integrity: HPSG as a Morphosyntactic Theory
Research Students Lecture Series Introduction to Bayesian inference
Motivation and learning in citizen science: The role of automatically generated feedback.
Research Students Lecture Series Introduction to Social Choice Theory
Research Students Lecture Series Applied Probabilistic Algorithms for Big Data Analysis
Research Students Lecture Series Using public-key cryptography in practice
Research Students Lecture Series Programming in Haskell
Research Students Lecture Series Reaching reliable agreement in an unreliable world
Unweaving The Lexical Rainbow: Grounding Linguistic Creativity in Perceptual SemanticsWe only have LT2 for the hour, so please don't enter before 1pm and don't be late for the talk, as it will start promptly at 1:05 and we'll have to leave before 2pm.
Game of Tropes: Exploring the Placebo Effect in Computational Creativity
Joint A* Syntactic and Semantic Parsing for CCG
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
Learning Structural Kernels for Natural Language Processing
Cross-lingual transfer of a semantic parser via parallel data
Improving & Better Understanding Word Vector Representations
Crowdsourcing the annotation of rumours in social media
Natural Language Generation from Semantic Web Ontologies
Deep consequences: Why syntax (as we know it) isn't a thing, and other (shocking?) conclusions from modelling language with neural nets.
Open System Categorical Quantum Semantics in Natural Language Processing
Model Theory and the Semantics of Natural Languages
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
Disfluency detection in spoken learner English
Modelling implicit language learning with distributional semantics
Statistical modelling of metaphor
The Geometry of Machine Translation
Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics
Leveraging a Semantically Annotated Corpus to Disambiguate Prepositional Phrase Attachment
Learning Latent Syntactic Representations with Joint Models
Are you losing Structures in Distributional Vectors? Smoothed Distributed Tree Kernels and the Convolution Conjecture
Argument Mining from Text for Teaching and Assessing Writing
Interpreting Document Collections Using Topic Models
A Probabilistic Framework for Modeling Cross-Lingual Semantic Similarity (out of and in Context) Based on Latent Cross-Lingual Concepts
Towards quantum algorithms for natural language processing
Frontiers in Named Entity Recognition and Linking
Relating Native Language Typology to Foreign Language Usage
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing
An embodied model of clause syntax
Mining the Social Web: A series of statistical NLP case studies
Composed, Distributed Reflections on Semantics and Statistical Machine Translation
A Polya Urn Document Language Model for Information Retrieval
Exploratory Search and Trend Detection
The Theory and Practice of Compositional Distributed Semantics
The case for a Computational Neurolinguistics
First Step toward Neural Machine Translation
Creative Coding in Education
Language and Demographics on Twitter: Inferring Latent User Attributes from Streaming Communications
Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics
Unsupervised learning of rhetorical structure with un-topic models
Distributional semantics and beyond: Composition, generation and alignment
Context-dependent Semantic Parsing for Time Expressions
Helping 10% of the people to read and write better
Multilingual Models for Distributed Semantics
Shift-Reduce CCG Parsing with a Dependency Model
Grammatical error correction using hybrid systems and type filtering
Advanced Graph-based and Transition-based Dependency Parsing Approaches and Recent Trends towards Joint Syntactic and Morphologic Disambiguation
Identifying Deixis to Communicative Artifacts in Text
Adjective modification in compositional distributional semantics
Using Semantics to help learn Phonetic Categories
Design decisions in web corpus construction and their impact on distributional semantic models
Exploiting Large Corpora for Parsing
Exploiting Query Logs to Build Adaptive Domain Models for Search and Navigation
The semantics of poetry: a distributional readingThis talk is also a part of the Language Sciences Interdisciplinary Programme.
Constructing topical hierarchies for Expertise Mining
A Quest Towards Understanding the Challenges of Spoken Content Retrieval
Categorical compositional distributional semantics: state-of-the-art!
Spectral Learning and Decoding for Natural Language Parsing
GPstruct: Bayesian non-parametric structured prediction model
Parsing Jazz: Harmonic Analysis of Music Using Combinatory Categorial Grammar
A Standard Document Score for Information Retrieval
Three Stories on Aggregated Search
Learning to Generate Natural Source Code
Data Management, Integration and Retrieval in Life Sciences Using Semantic Web Technology
BrainNet: Using Brain (and Corpus) Data to Investigate Conceptual Knowledge
Chinese CCGbank: Deep derivations and dependencies for Chinese CCG parsing
Where did it all go wrong? New Tools for Automatic Error Analysis in NLP
Recursive Deep Learning for Modeling Semantic Compositionality
Spicy adjectives and nominal donkeys: Capturing semantic deviance using compositionality in distributional spaces
Using Grammars in On-line Education: Automatic error correction to improve writing skills
Representing Abstract and Concrete Concepts - Why and When Features should Feature
Developing and testing a self-assessment and tutoring system
Individual variation and the roles of L1 and proficiency in the L2 development of English grammatical morphemes
Improved Information Structure Analysis of Scientific Documents Through Discourse and Lexical Constraints
Zipf's law and the grammar of languages: A (potential) cross-linguistic measure of syntheticity
How to Give a Technical Presentation in Computer Science
Unsupervised Domain Tuning to Improve Word Sense Disambiguation
Two Approaches to Grammar Induction: From Plain Text to Semantic Supervision
Natural Language Generation as Planning under Uncertainty for Statistical Interactive Systems
Distributional Semantics and Kernels
Linguistic Indicators for Estimating the Quality of Machine Translations
What you get is not only what you see! A distributional analysis of semantic features from congenital blind subjects
Machine translation from the user's perspective: what is it good for?
Predict, Price and Cut: Column and Row Generation for Structured Prediction
Compositionality modelling and non-compositionality detection with distributional semantics
A fast and simple algorithm for training neural probabilistic language models
Handling obsolete information in classification: is there a one-size-fits-all strategy?
A New Twist on Methodologies for ESL Grammatical Error Detection
Data Mining and Information Extraction for CiteSeerX and Friends
Fuse Project and Citation Analysis
Learning Syntactic Verb Frames Using Graphical Models
Following Wisdom in Machine Learning
Semi-supervised learning for automatic conceptual property extraction
Modelling selectional preferences in a lexical hierarchy
Modeling coherence in ESOL learner texts
Context-Enhanced Citation Sentiment Detection
Repair and adherence in patient-clinician dialogues
Automating Second Language Acquisition Research: Integrating Information Visualisation and Machine Learning
Helping computers talk from experience
Entity-based Models for Discourse Structure
Beyond MaltParser -- Recent Advances in Transition-Based Dependency Parsing
Automatically Creating Reading Lists with Topical PageRank
Bayesian Smoothing for Language Models
Probabilistic models of similarity and plausibility in context
What is meaning? - Formalising the Distributional Hypothesis
Stream-based Statistical Machine Translation
Unsupervised Word Alignment and Part of Speech Induction with Undirected Models
Biomedical Natural Language Figure Processing
Search-based Structured Prediction applied to Biomedical Event Extraction
Better Together: Large Monolingual, Bilingual and Multimodal Corpora in NLP
Learning hard chart constraints for efficient context-free parsing
Graph-Based Methods for Large-Scale Multilingual Knowledge Integration
A Weakly-supervised Approach to Argumentative Zoning of Scientific Documents
A New Dataset and Method for Automatically Grading ESOL Texts
Unsupervised Entailment Detection between Dependency Graph Fragments
Language in 3D: semantic tensor space
Minimum Bayes-Risk Lattice Rescoring Methods for Statistical Machine Translation
To what extent does the acquisition of conceptual categories depend on language?
Accurate CCG Parsing with Approximate Language Intersection and Task-specific Optimization
Relational-Realizational Syntax: An Architecture for Describing and Parsing Rich Morphosyntactic Descriptions
Surprisingly Efficient Parsing for a Wide-Coverage Lexicalised-Grammar Parser
Categorical Compositionality for Distributional Semantics, Without Tears
Automatic speech act identification in business emails
Towards a Stochastic Model of Linguistic Competence
Two robust semi-supervised learning algorithms for natural language processing
Semantics Lunch (Computer Laboratory) A Language for Mathematics
Event Extraction from Biomedical Texts by Trimming Dependency Graphs
ACS project presentations
BioCaster 2.0: Online text analysis for early alerting of disease outbreaks
Patent Search: a challenging problem for IR and NL
Open Problems for Literary Text Generation in the WASP System
A Fast Decoder for Joint Word Segmentation and POS-Tagging using a Single Discriminative Model
Practical Linguistic Steganography using Contextual Synonym Substitution and Vertex Colour Coding
Semantics, Text, and Biomedical Knowledge Discovery: Challenges and Opportunities
Evaluation of Dependency Parsers on Unbounded Dependencies
Models of Metaphor in NLP
Latent Variable Models of Selectional Preference
Natural mathematical language for the computer
Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
Log-linear models with hidden features for label and link prediction
Automatic Metaphor Interpretation as a Paraphrasing Task
Linguistic Steganography using Automatically Generated Paraphrases
Enhancing NLP with Knowledge: Ontology-Based Information Retrieval for Handwritten Text
Latent TAG Derivations for Semantic Role Labeling
Metaphor in language, thought, and communication
Subjectivity Recognition on Word Senses
Making the World's Scientific Information (More) Organized, Accessible, and Usable
Learnable representations for natural language
The Web as an Implicit Training Set: Application to Noun Compounds' Syntax and Semantics
A Bottom-up Approach to Sentence Ordering for Multi-document Summarization
Learning to Follow Orders: Reinforcement Learning for Mapping Instructions to Actions
Inducing Synchronous Grammars for Machine Translation
Making Computer Science more Social: Speed Dating and the History of Science
Semiring Parsing without Parsing
Fine-grained sentiment analysis in text and multi-party conversation
Bayesian non-parametric models for parsing and translation
Ontology Learning for Portuguese
Clitic Pregroups: in search for a uniform pattern of clitic movement in natural languages
Unbounded Dependency Recovery for Parser Evaluation
A Proposal on Evaluation Measures for RTE
Portuguese Text Simplification for Digital Inclusion and Accessibility
Extending a Surface Realizer to Generate Coherent Discourse
Mildly non-projective dependency parsing: algorithms and applications
Cycling to Enrich and Enhance Dictionary Glosses
Towards automated understanding of scientific papers
BioNLP 2009 event detection task
Disambiguation of Biomedical Text
A Tale of Two Parsers: investigating and combining graph-based and transition-based dependency parsing using beam-search
Dialogue Act Prediction Using Stochastic Context-Free Grammar Induction
ASKNet: Creating and Evaluating Large Scale Integrated Semantic Networks
Almost-unsupervised multilingual sentiment analysis
Learning to Adapt in Dialogue Systems: Data-driven Models for Personality Recognition and Generation
Adapting a WSJ-trained Lexicalized-Grammar Parser to New Domains
Infinite Hidden Markov Models and Applications in NLP
Statistical anaphora resolution in biomedical texts
Nobody Writes Letters Anymore: Helping people make sense of historically significant email collections
Fuzzy Logic: Fading Hype or Technology of the Future?
Multiword Expressions: Evaluation of Extraction Methods and their Impact on Grammar Engineering
A maximum entropy approach to preposition and determiner selection
Error-Aware Probabilistic Parsing
Computer-generated Cryptic Crossword Clues: exploring creative NLG
Applications of Discourse Structure for Spoken Dialogue Systems
Monte Carlo Semantics: Robust Inference and Logical Pattern Processing Based on
Learning to Classify Noun-Noun Semantic Relations
Annotating Genericity: How Do Humans Decide?- A Case Study in Ontology Extraction
A Rebel Alliance in Babel's Aftermath: Combining rules and probabilities in machine translation
Kernels for graph comparison
Analysing biomedical text with the Stanford dependency grammar
Random Walks on the Click Graph
The ILIAD Project: Language Technology Meets Linux Troubleshooting
Annotating and Learning Compound Noun Semantics
Annotation of Chemical Named Entities
Semantic enrichment of journal articles using chemical named entity recognition
Semi-supervised Training of a Statistical Parser from Unlabeled Partially-bracketed Data
Term Mining in Biomedicine
Generating appropriate referring expressions in news summaries
Generation of Referring Expressions: Evaluating some standard algorithms
Evaluating Centering for Information Ordering using Corpora
Fuzzy Language Models and Closed Domain Question Answering using Fuzzy Semantics
The Weakest Link: Detecting and Correcting Errors in Learner English
Acquiring Ontological Relationships from Wikipedia Using RMRSShort talk (20 minutes) to be presented at International Semantic Web Conference workshop
Putting Linguistics into Speech Recognition: The Regulus Grammar Compiler
Multiple Instance Learning for Natural Language Tasks
Please see above for contact details for this list. |
Other listsThe Leadership Masterclass series Wizkid biograhpy CSTI SeminarsOther talksThe Geometric SMEFT description of curved Higgs Field Space(s) - Michael Trott Machine Learning and Finite Elements Larmor Lecture - Covid, Chaos and Climate: How mathematical models help to explain the universe Members' Open Forum Autumn Cactus & Succulent Show Improved determination of |V_{cs}| from precision lattice QCD calculation of D to K semileptonic decay form factors |
Benjamin Minixhofer (Language Technology Lab, University of Cambridge).
Friday 29 November 2024, 12:00-13:00