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Natural Language Processing Reading Group
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Reading group run by the Computer Laboratory NLIP Research Group. The focus is on discussion of recent and classic papers that should be of broad interest within the field of Natural Language Processing. All are welcome. If you have a question about this list, please contact: Diarmuid Ó Séaghdha; Jimme Jardine; Marek Rei. If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 72 talks in the archive. NLP Reading Group: Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks
NLP Reading Group: Measuring Distributional Similarity in Context
NLP Reading Group: Large-margin Learning of Submodular Summarization methods
NLP Reading Group: Collaborative topic modeling for recommending scientific articles
NLP Reading Group: Unsupervised Semantic Role Induction via Split-Merge Clustering
NLP Reading Group: Cross-Cutting Models of Lexical Semantics
NLIP reading group: Bayesian Smoothing for Language Models
NLIP Reading Group: Target-dependent Twitter Sentiment Classification
NLIP reading group: Global learning of typed entailment rules
NLIP reading group: Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
NLIP reading group: Fast and Robust Joint Models for Biomedical Event Extraction
NLIP Reading Group: Unsupervised Decomposition of a Document into Authorial Components
NLP Reading group - Template-Based Information Extraction without the Templates
NLIP reading group: What's great and what's not: learning to classify the scope of negation for improved sentiment analysis
NLIP reading group - Fully unsupervised core-adjunct argument classification
NLP reading group - Who should I cite: learning literature search models from citation behavior
NLIP reading group: Connecting the Dots Between News Articles
The automated assessment of texts produced by learners of English
An Introduction to Random Indexing
Something a little different...
Guided Learning for Bidirectional Sequence Classification
Identifying Non-Explicit Citing Sentences for Citation-Based Summarization
Automatic Evaluation of Linguistic Quality in Multi-Document Summarization
Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions
Distributional Identification of Non-Referential Pronouns
A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon.
Unsupervised Modeling of Twitter Conversations
Term Weighting Schemes for Latent Dirichlet Allocation
Conditional Random Fields
Extracting social networks from literary fiction...
Overview of: Measuring the non-compositionality of multiword expressions. [best paper award at COLING]
Report-back on ACL2010
Improving Grammaticality in Statistical Sentence Generation
Learning to Tell Tales: A Data-driven Approach to Story Generation
Unsupervised Morphological Segmentation with Log-Linear Models
Generalizing Dependency Features for Opinion Mining
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
Discovering interesting usage patterns in text collections
Learning the scope of hedge cues in biomedical texts
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
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
Predicting Strong Associations on the Basis of Corpus Data
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
A Fluid Knowledge Representation for Understanding and Generating Creative Metaphors
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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Wenduan Xu.
Thursday 15 March 2012, 12:00-13:00