Severyn, Aliaksei
48  Ergebnisse:
Personensuche X
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1

Fast Text Generation with Text-Editing Models:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Malmi, Eric ; Dong, Yue ; Mallinson, Jonathan... - p. 5815-5816 , 2023
 
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2

Using Audio Transformations to Improve Comprehension in Voi..:

, In: Lecture Notes in Computer Science; Experimental IR Meets Multilinguality, Multimodality, and Interaction,
 
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3

Neural Ranking Models with Weak Supervision:

, In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval,
 
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4

Leveraging Large Amounts of Weakly Supervised Data for Mult..:

, In: Proceedings of the 26th International Conference on World Wide Web,
Deriu, Jan ; Lucchi, Aurelien ; De Luca, Valeria... - p. 1045-1052 , 2017
 
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5

Multi-lingual opinion mining on YouTube:

Severyn, Aliaksei ; Moschitti, Alessandro ; Uryupina, Olga..
Information Processing & Management.  52 (2016)  1 - p. 46-60 , 2016
 
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8

Learning to Rank Short Text Pairs with Convolutional Deep N..:

, In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval,
 
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9

Twitter Sentiment Analysis with Deep Convolutional Neural N..:

, In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval,
 
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10

A syntax-aware re-ranker for microblog retrieval:

, In: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval,
 
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11

Building structures from classifiers for passage reranking:

, In: Proceedings of the 22nd ACM international conference on Information & Knowledge Management,
 
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12

Fast support vector machines for convolution tree kernels:

Severyn, Aliaksei ; Moschitti, Alessandro
Data Mining and Knowledge Discovery.  25 (2012)  2 - p. 325-357 , 2012
 
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13

Structural relationships for large-scale learning of answer..:

, In: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval,
 
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