A new way to search for patents

I am delighted to announce a new release of 2Dsearch, with various improvements including an integration with two of the world’s biggest patent databases: Google Patents and Lens Patents. What this means is that you can now run a single visual search across 14 different sources and benefit from automated translations for many more. And with the addition of Google Patents and Lens Patents, you can now use 2Dsearch for patent searching and competitive intelligence, with free starter examples for each.

We’ve lots more planned for the next release, so if you’d like to help shape this or have comments or suggestions then do let us know. We’d be delighted to hear from you.

 

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Research Associate in natural language processing

An early Xmas present maybe…? I am currently hiring for the following position. The official job ad has yet to go live, hence the TBDs below, but I am happy to share further details with interested parties. If you know of anyone suitable, please do encourage them to get in touch ASAP:

Goldsmiths, University of London has a vacancy for the following part-time (0.4) position:  

Research Associate in the field of natural language processing 

This role is part of a strategic research project that aims to apply techniques from corpus linguistics and natural language processing (NLP) to capture and analyze the “public conversation” around the ongoing energy crisis. The energy crisis has become a nexus for important social debates around pivotal issues like climate change, as well as the distribution of economic burdens, equality, risk and sustainability. A study of public debates around the energy crisis can help us understand the complex intersection of discourses around fossil fuels, climate change, sustainability and social justice.   

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Research Associate in information retrieval / user experience

I am currently hiring for the following position. If you know of anyone suitable, please encourage them to apply!

Research Associate in the field of information retrieval / user experience (0.5 FTE)

This role is part of a Google-funded research project that aims to use AI (Artificial Intelligence) and data visualization to facilitate more efficient and effective approaches to information retrieval through the development of alternative approaches to search strategy formulation. This has the potential to minimize error and inefficiency in scientific research and facilitate more efficient and effective research workflows for the broader scientific community.

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PhD project topics 2022

I am recruiting sponsored or self-funded PhD students who wish to undertake projects in natural language processing and UX with focus on information retrieval, including the projects listed below.

Note that these topics are based on MSc level project proposals, but most have the scope and ambition to be scalable to PhD level work. Moreover, they are merely ideas at this stage, so feel free to adapt / enhance them to accommodate your own ideas and interests. Note also that this list is not exhaustive: we have other project ideas and proposals which aren’t quite ready for public dissemination.

If you are a self-funded student considering a PhD in any of the topics below please take a look at the further information and/or email me to discuss.

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2Dsearch: new release (Feb 2022)

Delighted to announce a new release of 2Dsearch, with various improvements including new preferences with options for snap-to-grid, advanced query parsing and default databases. We’ve also integrated the latest version of PolyGlot and fixed the query parser bug which so many of you raised.

What this means is that you can now use 2Dsearch to execute a single visual search across a dozen different databases and benefit from automated translations for many more. We’ve also made further improvements to the user experience and now provide example searches for each of the databases.

We’ve lots more planned for the next release, so if you’d like to help shape this or have comments or suggestions then please let us know.

 

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Searching grey literature: a single strategy to search multiple sources

In this short video we take a brief look at searching grey literature. Grey literature is the term given to unpublished documents such as dissertations, technical reports, conference abstracts, newsletters, presentations and so on. Even though they may not have been formally published, these documents can still contain vital information.

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Translating search strategies: a universal language for information needs?

In this short video we learn how to automatically translate search strategies to the syntax of different databases.

Let’s start with a simple search strategy that finds documents on the use of exercise to prevent obesity in older people:

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2Dsearch: new release (spring 2021)

Spring is traditionally a time of new beginnings, so I am delighted this week to announce a new release of 2Dsearch. This release contains a variety of bug fixes and improvements, including support for two new databases: ACM Guide to Computing Literature and IDEAS (the largest bibliographic database dedicated to Economics available freely on the Internet). We’ve also improved our search report generation tool and now offer query statistics to help you refine those all important search strategies.

What all this means is that you can now use 2Dsearch to search visually across 12 different databases and use automated translations for 8 more. We’ve also made further improvements to the user experience and now provide example searches for each of the 12 databases.

We’ve lots more planned for the next release, so if you’d like to help shape this and/or have comments or suggestions then do let us know. We’d be delighted to hear from you!

 

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A draft syllabus for Natural Language Processing

I am currently starting work on developing an undergraduate module in Natural Language Processing (level 6, 3rd year). Although I have been involved in the field of NLP for many years, recent times have witnessed a transformation of the field, not just in terms of its academic foundations, but also its practical application in industry and its attractiveness as a fulfilling and rewarding career choice. My sense is that some of the topics which I originally studied for my doctorate retain their appeal since the key ideas remain relevant despite radical changes in the implementation. However, others are more hostage to the technological fortunes of deep learning and other neural/distributional approaches.

My view is that field benefits by being informed by more than one perspective: computer/data science may be a given, but cognitive science, information science and linguistics all have their contributions to make. Clearly, it is a tricky task to pack all this into just 10 topics, and to do so from both a theoretical and practical perspective. Here is my current thinking:

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2Dsearch: new year, new release

New year, new release — I am delighted this week to announce a new release of 2Dsearch. This contains a variety of bug fixes and improvements, including support for IEEE XPlore, a ‘Help me choose’ feature and automated search report generation.

You can now use 2Dsearch to search visually across 10 different databases and use automated translations for many more. We’ve also made improvements to the canvas user experience and now provide starter examples for each of the 10 databases.

We’ve lots more planned for the next release, so if you’d like to help shape this and/or have comments or suggestions then do let us know. We’d be delighted to hear from you.

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