Kris Cao

Name:	Kris Cao
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	12 Apr 2019, 1:44 p.m.

Public lists managed by Kris Cao

Talks given by Kris Cao

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.

• Neural networks in NLP
• Sentence-level Topic Models

Talks organised by Kris Cao

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Kris Cao actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Neural Variational Inference for NLP
• Learning Hierarchical Word and Sentence Representations
• EACL potpourri
• Imitation learning for language generation from unaligned data
• Learning Commonsense Event Schemas from Unlabeled Text
• Internal Seminar pt. 2
• Title to be confirmed
• 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
• Numerically Grounded Language Models
• Internal Seminar pt. 1
• 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
• 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
• How much linguistics is needed for NLP?