Výsledky vyhledávání

Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity

Autor: Azarbonyad, H., Dehghani, M., Kenter, T., Marx, M., Kamps, J., de Rijke, M., Jose, J.M., Hauff, C., Altıngovde, I.S., Song, D., Albakour, D., Watt, S., Tait, J.

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319566078
ECIR
Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8–13, 2017 : proceedings, 68-81
STARTPAGE=68;ENDPAGE=81;TITLE=Advances in Information Retrieval

A high degree of topical diversity is often considered to be an important characteristic of interesting text documents. A recent proposal for measuring topical diversity identifies three elements for assessing diversity: words, topics, and documents

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a57c701722be1630ac724349efae022
https://dare.uva.nl/personal/pure/en/publications/hierarchical-reestimation-of-topic-models-for-measuring-topical-diversity(c7eb09c3-1c6c-496d-b631-eee884513d52).html

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Akademický článek

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Siamese CBOW: Optimizing word embeddings for sentence representations

Autor: Kenter, T., Borisov, A., de Rijke, M., Erk, K., Smith, N.A.

Publikováno v: The 54th Annual Meeting of the Association for Computational Linguistics : ACL 2016: proceedings of the conference : August 7-12, 2016, Berlin Germany, 1, 941-951
ACL (1)

We present the Siamese Continuous Bag of Words (Siamese CBOW) model, a neural network for efficient estimation of high-quality sentence embeddings. Averaging the embeddings of words in a sentence has proven to be a surprisingly successful and efficie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a5ab891b6b9e7e9c6775b2bb45a2f45
https://dare.uva.nl/personal/pure/en/publications/siamese-cbow-optimizing-word-embeddings-for-sentence-representations(7cb7f68b-ab88-445c-b87b-794d89b73cc6).html

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Design and implementation of ShiCo: Visualising shifting concepts over time

Autor: Martinez-Ortiz, C., Kenter, T., Wevers, M., Huijnen, P., Verheul, J., van Eijnatten, J., Düring, M., Jatowt, A., Preiser-Kappeller, J., van Den Bosch, A.

Publikováno v: Proceedings of the 3rd HistoInformatics Workshop on Computational History (HistoInformatics 2016): co-located with Digital Humanities 2016 conference (DH 2016) : Krakow, Poland, July 11, 2016, 11-19
STARTPAGE=11;ENDPAGE=19;TITLE=Proceedings of the 3rd HistoInformatics Workshop on Computational History (HistoInformatics 2016)

In different times, people use different words to describe concepts. Change and stability in word usage are possible indicators of wider socio-cultural changes. To gain insight into how people perceive concepts, it is valuable to trace how the words

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::622eb48ddb08b274bb1c90c981c31475
https://dspace.library.uu.nl/handle/1874/346303

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Autor: Kenter, T., de Rijke, M.

Publikováno v: 14th Dutch-Belgian Information Retrieval Workshop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::e3cfe20968f1ef0aa55be0a54b6edc3a
https://dare.uva.nl/personal/pure/en/publications/short-text-similarity-with-word-embeddings(103084fc-18a0-4c04-a13e-c5553d79bc1f).html

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Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams

Autor: Graus, D., Tsagkias, M., Buitinck, L., de Rijke, M., Kenter, T., de Vries, A.P., Zhai, C.X., de Jong, F., Radinsky, K., Hofmann, K.

Publikováno v: Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014: proceedings, 286-298
STARTPAGE=286;ENDPAGE=298;TITLE=Advances in Information Retrieval
Lecture Notes in Computer Science ISBN: 9783319060279
ECIR

The manual curation of knowledge bases is a bottleneck in fast paced domains where new concepts constantly emerge. Identification of nascent concepts is important for improving early entity linking, content interpretation, and recommendation of new c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92fd9ceb2bb1a55c74cfd51547f03eac
https://dare.uva.nl/personal/pure/en/publications/generating-pseudoground-truth-for-predicting-new-concepts-in-social-streams(c2fd3cfe-5a81-4803-9a9b-b4cc0ff7b77b).html

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Optimizing Base Rankers Using Clicks: A Case Study using BM25

Autor: Schuth, A., Sietsma, F., Whiteson, S., de Rijke, M., Kenter, T., de Vries, A.P., Zhai, C.X., de Jong, F., Radinsky, K., Hofmann, K.

Publikováno v: Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014: proceedings, 75-87
STARTPAGE=75;ENDPAGE=87;TITLE=Advances in Information Retrieval

We study the problem of optimizing an individual base ranker using clicks. Surprisingly, while there has been considerable attention for using clicks to optimize linear combinations of base rankers, the problem of optimizing an individual base ranker

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::a21242d7485eb9a4c4e67fed34b23f01
https://dare.uva.nl/personal/pure/en/publications/optimizing-base-rankers-using-clicks-a-case-study-using-bm25(3da78967-d028-4a25-bb9a-f81fc3a268d4).html

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