Meetings

We have weekly meetings (paper discussions and invited talks). The meetings are organised by Nicole Peinelt.

Date Presenter Title of the paper/talk
18.07.2019 Nicole Peinelt ACL talk on "Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets"
04.07.2019 Julia Ive (University of Sheffield) Talk on "Towards Shareable Data in Clinical Natural Language Processing: Generating Synthetic Electronic Health Records"
27.06.2019 Raymond Ng (University of British Columbia) Talk on "Text Analytics for Chronic Disease Management"
16.05.2019 Andreas Vlachos (University of Cambridge) Talk on "Fact Checking: an AI perspective"
25.04.2019 Michael Castelle Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications, Dangovski et al. link
25.04.2019 Feng Shi Talk on "NLP for creativity and innovation"
18.04.2019 Harish Tayyar Madabushi (University of Birmingham) Talk on "On the Integration of Conceptual Hierarchies with Deep Learning for Explainable Open-Domain Question Answering"
28.03.2019 Hieu Hoang Emergence of linguistic communication from referential games with symbolic and pixel input, Lazaridou et al. link
21.03.2019 Yen-Chen Wu (University of Cambridge) Talk on "Model-based Reinforcement Learning and its Applications to Dialogue Systems"
07.03.2019 Nicole Peinelt and Maria Liakata Coarse-to-Fine Question Answering for Long Documents, Choi et al. link
28.02.2019 Nicolas Anastassacos Talk on "Introduction to Reinforcement learning"
21.02.2019 Dong Nguyen BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, Devlin et al. link
31.01.2019 Maria Liakata and Elena Kochkina Confidence Modeling for Neural Semantic Parsing, Dong et al. link
06.12.2018 Daniil Sorokin (TU Darmstadt) Talk on "Graph Neural Networks for Knowledge Base Question Answering"
29.11.2018 Radoslaw Kowalski Coherent narrative summarization with a cognitive model, Zhang et al. link
22.11.2018 Dong Nguyen and Rebekah Tromble DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning, Popat et al. link
15.11.2018 Hao Ni Talk on "Signature Method"
01.11.2018 Elena Kochkina Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning link
25.10.2018 Lev Konstantinovskiy Talk on "Towards Automated Fact checking: Developing an Annotation Schema and Benchmark for Consistent Automated Claim Detection" link
18.10.2018 Yulan He (University of Warwick) Talk on "Unsupervised Event Extraction and Storyline Generation from Text"
11.10.2018 Annie Louis (University of Edinburgh) Talk on "Tracking referring expressions across time" link
04.10.2018 Johannes Welbl (UCL) Talk on "Jack the Reader – A Machine Reading Framework" link
27.09.2018 Kent Chang Talk on "Individuals, Institutions and Innovation in the debates of the French revolution" link
20.09.2018 James Ravenscroft Talk on "HarriGT: A Tool for Linking News to Science (ACL system demo)"" link
13.09.2018 Farhana Liza and Philippa Shoemark Talk on "Semantic change in social media"
06.09.2018 Elena Kochkina and Andrew Moore Two COLING talks: 1) All-in-one: Multi-task Learning for Rumour Verification 2) Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis link1 link2
30.08.2018 Tianhong Dai (Imperial College London) Talk on "Research Tools: Pytorch"
09.08.2018 Nicole Peinelt Talk on "Research Tools: Tensorboard & Tensorflow Debugger"
26.07.2018 Dong Nguyen Deep contextualized word representations, Peters et al. link
19.07.2018 Marya Bazzi Talk on "Community detection in temporal multilayer networks, with an application to correlation networks"
12.07.2018 Hieu Hoang Talk on "Fast neural machine translation implementation" link
28.06.2018 Andrew Moore Strong baselines for neural semi-supervised learning under domain shift, Ruder and Plank link
14.06.2018 Nigel Collier Talk on "Entity linking using heterogeneous health text data"
21.05.2018 Andrey Malinin Talk on "Estimating uncertainty in predictions for deep learning"
14.05.2018 Dong Nguyen Talk on "Comparing automatic and human evaluation of local explanations for text classification"
30.04.2018 Kira Kempinska Talk on "Adversarial sequential Monte Carlo - flexible modelling of sequential data with Bayesian deep learning"
23.04.2018 Andrew Moore Auxiliary Objectives for Neural Error Detection Models, Rei and Yannakoudakis link
09.04.2018 Zeerak Waseem (Factmata/Sheffield) Talk on "Annotation and detection of hate speech"
26.03.2018 Elena Kochkina Building a Bayesian deep learning classifier, Dorman link
19.03.2018 Bo Wang A simple regularization-based algorithm for learning cross-domain word embeddings, Yang et al. link
12.03.2018 Johannes Welbl (UCL) Talk on “Machines that read and reason: Multi-hop reading comprehension across documents”
5.03.2018 Bo Wang and Nicole Peinelt Hierarchical Attention Networks for Document Classification, Yang et al. link
26.02.2018 Radoslaw Kowalski Apparatus and method for predicting customer behaviour, Kannan et al. link
19.02.2018 Adam Tsakalidis Active Sentiment Domain Adaptation, Wu et al. link
12.02.2018 Nicole Peinelt Very deep convolutional networks for text classification, Conneau et al. link
25.01.2018 Adria Gascon Talk on “Privacy-preserving document classification in federated databases”
18.01.2018 Dong Nguyen, Barbara McGillivray, Taha Yasseri Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes, Garg et al. link
11.01.2018 Tao Wang Detecting and Characterizing Eating-Disorder Communities on Social Media, Wang et al. link
07.12.2017 Elena Kochkina An investigation of imitation learning algorithms for structured prediction, Vlachos link
30.11.2017 Barbara McGillivray Semantic Variation in Online Communities of Practice, Tredici and Fernández link
23.11.2017 Barbara McGillivray and Jim Smith A Bayesian Model of Diachronic Meaning Change, Frermann and Lapata link
16.11.2017 Maria Liakata Sluice networks: Learning what to share between loosely related tasks, Ruder et al. link
09.11.2017 Radoslaw Kowalski Semantic Folding Part 1 of the article (pp. 8-29), De Sousa Webber link
02.11.2017 Walid Magdy (Edinburgh) Discussion with Walid Magdy about his paper Fake it till you make it: Fishing for Catfishes. link
26.10.2017 Dong Nguyen Depression and Self-Harm Risk Assessment in Online Forums, Yates et al. link
19.10.2017 Hieu Hoang Attention is all you need, Vaswani et al. link
12.10.2017 Andrew Moore Aspect Level Sentiment Classification with Deep Memory Network, Tang et al. link