MR.CS.UCL.AC.UK

UCL Machine Reading

An NLP research group at the UCL. Teaching machines how to read. The amount of published information is growing rapidly. Much of this information comes in unstructured textual form that cannot easily be searched, mined, visualized and, ultimately, acted upon. The principal goal of our group are machines that can read and "understand" this textual information, converting it into interpretable structured knowledge to be leveraged by humans and other machines alike. From the Allen Foundation! Sebastian work...

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UCL Machine Reading | mr.cs.ucl.ac.uk Reviews

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An NLP research group at the UCL. Teaching machines how to read. The amount of published information is growing rapidly. Much of this information comes in unstructured textual form that cannot easily be searched, mined, visualized and, ultimately, acted upon. The principal goal of our group are machines that can read and understand this textual information, converting it into interpretable structured knowledge to be leveraged by humans and other machines alike. From the Allen Foundation! Sebastian work...

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1 ucl machine reading

2 introduction

3 news

4 people

5 projects

6 software

7 publications

8 talks

9 wiki internal

10 machine reading

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ucl machine reading,introduction,news,people,projects,software,publications,talks,wiki internal,machine reading,computer science department,affiliated with csml,sebastian riedel,senior lecturer,v ivan sanchez,marzieh saeidi,matko bosnjak,tim rocktäschel

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UCL Machine Reading | mr.cs.ucl.ac.uk Reviews

https://mr.cs.ucl.ac.uk

An NLP research group at the UCL. Teaching machines how to read. The amount of published information is growing rapidly. Much of this information comes in unstructured textual form that cannot easily be searched, mined, visualized and, ultimately, acted upon. The principal goal of our group are machines that can read and "understand" this textual information, converting it into interpretable structured knowledge to be leveraged by humans and other machines alike. From the Allen Foundation! Sebastian work...

INTERNAL PAGES

mr.cs.ucl.ac.uk

1

UCL Machine Reading

http://mr.cs.ucl.ac.uk/talks.html

Matrix and Tensor Factorization Methods for NLP. Tutorial at ACL 2015, Beijing, China. Embedding Probabilistic Logic for Machine Reading. Xerox Research Centre Europe, Grenoble, France. A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing. Toshiba Research Europe, University of Cambridge Natural Language and Information Processing Seminar Series, Xerox Research Centre Europe, Facebook London.

2

UCL Machine Reading

http://mr.cs.ucl.ac.uk/index.html

An NLP research group at the UCL. Teaching machines how to read. The amount of published information is growing rapidly. Much of this information comes in the form of unstructured text which cannot easily be searched, mined, visualized or, ultimately, acted upon. The principal goal of our group is to build machines that can read and "understand" this textual information, converting it into interpretable structured knowledge to be leveraged by humans and other machines alike. Consider submitting a paper!

3

UCL Machine Reading

http://mr.cs.ucl.ac.uk/publications/all.html

SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods. Saeidi, Marzieh, Bouchard, Guillaume. Liakata, Maria and Riedel, Sebastian. Proceedings of the 26th International Conference on Computational Linguistics (COLING). Stance Detection with Bidirectional Conditional Encoding. And Bontcheva, Kalina. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Numerically Grounded Language Models for Semantic Error Correction. Proceedings of the ...

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andreasvlachos.github.io

Collaborators · Andreas Vlachos

http://andreasvlachos.github.io/collabs

PhD student in SUMMA. PhD student, co-supervised with Mark Stevenson. PhD student working on automated fact-checking). We also collaborate closely with the Machine Reading group. At UCL led by Sebastian Riedel.

rockt.github.io

Tim Rocktäschel

https://rockt.github.io/index.html

Machine Learning, Deep Learning, Natural Language Processing, Artificial Intelligence. I am a final year PhD candidate in Sebastian Riedel. S Machine Reading group. At University College London. My studies are generously supported by a Microsoft Research PhD Scholarship. I worked on regularizing representations by first-order logic rules. And recently became interested in neural-symbolic approaches to theorem proving. And neural program induction. Proteins and diseases in biomedical publications. As well...

andreasvlachos.github.io

Short bio · Andreas Vlachos

http://andreasvlachos.github.io/2015/09/04/welcome

I am a lecturer at the University of Sheffield. Working on the intersection of Natural Language Processing. Current projects include natural language generation, automated fact-checking and imitation learning. I have also worked on semantic parsing, language modelling, information extraction, active learning, clustering and biomedical text mining. Previously I was a postdoc at the Machine Reading. Group at UCL working with Sebastian Riedel. And the BBC R&D. Team Before that I was a member of the NLIP.

isabelleaugenstein.github.io

Isabelle Augenstein

http://isabelleaugenstein.github.io/index.html

Department of Computer Science. One Euston Square, 40 Melton Street. Tel: 44(0)22 3549 5280. Email: i.augenstein@ucl.ac.uk. I am a Research Associate in Sebastian Riedel. S UCL Machine Reading group. Prior to joining UCL, I was a Research Associate in the Sheffield NLP group. A PhD Student in the University of Sheffield Computer Science department. A Research Assistant at AIFB, Karlsruhe Institute of Technology. For more details, see my publications. February 2017: Wired article. R&D week in Athens.

aritter.github.io

CSE 5539: Web Information Extraction

http://aritter.github.io/courses/5539_fall15.html

CSE 5539: Web Information Extraction. The course will involve reading and discussing recent papers from top conferences in the field. Students will propose and complete an open-ended course project; example projects might include anything from extracting relations from HTML tables on the web to event extraction from news or social media text. Previous experience with natural language processing and/or machine learning will be very helpful. Research groups at other universities: CMU. Each student will als...

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UCL Machine Reading

An NLP research group at the UCL. Teaching machines how to read. The amount of published information is growing rapidly. Much of this information comes in unstructured textual form that cannot easily be searched, mined, visualized and, ultimately, acted upon. The principal goal of our group are machines that can read and "understand" this textual information, converting it into interpretable structured knowledge to be leveraged by humans and other machines alike. From the Allen Foundation! Sebastian work...

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