What we're about

Information drives the planet. We organize talks around implementations of information retrieval, in search engines, in recommender systems, or in conversational assistants. Our meetups are usually held on the last Friday of the month, at Science Park Amsterdam. Usually, we have two talks in a row, one industrial, the other academic, 25+5 minutes each, no marketing, just algorithms, followed by drinks. We also host ad hoc "single shot" events whenever an interesting visitor stops and shares their work.

Organizations that have presented at SEA include 904Labs, Amsterdam Data Science, Beeld en Geluid, Blendle, Bol.com, Booking.com, Collaborne, Criteo, CWI, Delft University of Technology, Elasticsearch, Elsevier, Fredhopper, FuelUp, GoDataDriven, Google, Improve Digital, KBResearch, Marktplaats, Microsoft AI, MyDataFactory, Philips, Qualcomm, Sanoma, SDL, Seecr, SourcingThing, Spinque, Technical University Eindhoven, Textkernel, Tsinghua University, Trivago, University of Amsterdam, University of Glasgow, University of North Carolina at Chapel Hill, UserSat.com, WizeNoze, Yahoo!, Yandex, ZyLab

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Upcoming events (4+)

Dense Passage Retrieval at SEA with Akari Asai and Arnold Overwijk

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IMPORTANT: You will be able to view the Zoom link once you 'attend' the meetup on this page.
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SEA is back again in October! This month's SEA features Akari Asai (U. of Washington) and Arnold Overwijk (Microsoft).

17.00: Akari Asai (U. of Washington)
Title: One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
Abstract: We present CORA, a Cross-lingual Open-Retrieval Answer Generation model that can answer questions across many languages even when language-specific annotated data or knowledge sources are unavailable. We introduce a new dense passage retrieval algorithm that is trained to retrieve documents across languages for a question. Combined with a multilingual autoregressive generation model, CORA answers directly in the target language without any translation or in-language retrieval modules as used in prior work. We propose an iterative training method that automatically extends annotated data available only in high-resource languages to low-resource ones. Our results show that CORA substantially outperforms the previous state-of-the-art on multilingual open question answering benchmarks across 26 languages, 9 of which are unseen during training. Our analyses show the significance of cross-lingual retrieval and generation in many languages, particularly under low-resource settings.

17.30: Arnold Overwijk (Microsoft)
Title: Document Understanding at Microsoft
Abstract: Arnold Overwijk is leading the document understanding team. His team develops state-of-the-art deep learning technologies for natural language problems, which are applied to large scale production systems for search and recommendation scenarios. Technologies they develop include: information retrieval, ranking, question answering, machine reading comprehension, key phrase extraction, topic modeling and semantic document (a logical understanding of the document based on visual and text information in a multi-modal setting, e.g. identify section headings, paragraphs, publication date, author, etc.).

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This is (still) an online event. The URL will be shared close to the day of the event. All times are Amsterdam times.
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SEA: Search Engines Amsterdam

Online event

Details to be announced.

SEA: Search Engines Amsterdam

Online event

Details to be announced.

SEA: Search Engines Amsterdam

Online event

Details to be announced.

Past events (79)

Recommendations at SEA with Olivier Jeunen and Ben Carterette

Photos (53)