Diarmuid Ó Séaghdha
| Name: | Diarmuid Ó Séaghdha |
| Affiliation: | University of Cambridge |
| E-mail: | (only provided to users who are logged into talks.cam) |
| Last login: | 8 Jan 2015, 3:33 p.m. |
Public lists managed by Diarmuid Ó Séaghdha
Talks given by Diarmuid Ó Séaghdha
Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.
- Unsupervised Morphological Segmentation with Log-Linear Models
- Unsupervised Learning of Narrative Schemas and their Participants
- A Structured Vector Space Model for Word Meaning in Context
Talks organised by Diarmuid Ó Séaghdha
This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Diarmuid Ó Séaghdha actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.
- Improving Grammaticality in Statistical Sentence Generation
- Combinatory Categorial Grammar
- Learning to Tell Tales: A Data-driven Approach to Story Generation
- Unsupervised Morphological Segmentation with Log-Linear Models
- Generalizing Dependency Features for Opinion Mining
- Randomized Language Models via Perfect Hash Functions
- Reliable methods for plain text information hiding
- Using Citations to Generate surveys of Scientific Paradigms
- Unsupervised Multilingual Learning for Morphological Segmentation
- Dependency grammar and dependency parsing
- A Gibbs Sampler for Phrasal Synchronous Grammar Induction
- Learning the scope of hedge cues in biomedical texts
- TransType2: The Last Word
- Predicting Human Brain Activity Associated with the Meanings of Nouns
- Automatic Humour Detection
- Speed and Accuracy in Shallow and Deep Stochastic Parsing
- Coupling Semi-Supervised Learning of Categories and Relations
- Bayesian Word Sense Induction
- Unsupervised Learning of Narrative Schemas and their Participants
- Reading Group Special Edition: ACL/EMNLP Review
- Special RG Meeting: NAACL-HLT-09 Reports
- A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
- A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches
- Unsupervised Relation Disambiguation Using Spectral Clustering
- Active Learning Literature Survey
- The Puzzle of Ambiguity
- Scope underspecification with tree descriptions: Theory and practice
- Unsupervised Models for Coreference Resolution
- Acquiring Sense Tagged Examples using Relevance Feedback
- On the nature of syntactic variation
- A Structured Vector Space Model for Word Meaning in Context
- Frustratingly easy domain adaptation
- The Fourth PASCAL Recognizing Textual Entailment Challenge
- Instance-based Evaluation of Entailment Rule Acquisition
- Modeling Semantic Containment and Exclusion in Natural Language Inference
- Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
- Which are the Best Features for Automatic Verb Classification?
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