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1
JOKE RECOMMENDER SYSTEM USING HUMOR THEORY ...
Soumya Agrawal. - : Purdue University Graduate School, 2020
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JOKE RECOMMENDER SYSTEM USING HUMOR THEORY ...
Soumya Agrawal. - : Purdue University Graduate School, 2020
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3
Hard Synonyms MySQL dump 8.1 ...
Uban, Ana. - : figshare, 2015
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4
On Developing Extraction Rules for Mining Informal Scientific References from Altmetric Data Sources ...
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5
Ethics considerations for Corpus Linguistic studies using internet resources ...
Koene, Ansgar. - : figshare, 2015
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6
On Developing Extraction Rules for Mining Informal Scientific References from Altmetric Data Sources ...
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7
Hard Synonyms MySQL dump 8.1 ...
Uban, Ana. - : figshare, 2015
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8
Ethics considerations for Corpus Linguistic studies using internet resources ...
Koene, Ansgar. - : figshare, 2015
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9
Removed ...
Ostrowick, John. - : figshare, 2015
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10
Tracking Digitally Consumed News ...
Kleppe, Martijn; Meijer, Irene Costera. - : figshare, 2015
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11
Tracking Digitally Consumed News ...
Kleppe, Martijn; Meijer, Irene Costera. - : figshare, 2015
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12
Removed ...
Ostrowick, John. - : figshare, 2015
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13
Computational methods to prove philosophical arguments ...
Ostrowick, John. - : figshare, 2015
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14
Microblog-genre noise and impact on semantic annotation accuracy ...
Derczynski, Leon. - : figshare, 2014
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15
Microblog-genre noise and impact on semantic annotation accuracy ...
Derczynski, Leon. - : figshare, 2014
Abstract: Using semantic technologies for mining and intelligent information access to microblogs is a challenging, emerging research area. Unlike carefully authored news text and other longer content, tweets pose a number of new challenges, due to their short, noisy, context-dependent, and dynamic nature. Semantic annotation of tweets is typically performed in a pipeline, comprising successive stages of language identification, tokenisation, part-of-speech tagging, named entity recognition and entity disambiguation (e.g. with respect to DBpedia). Consequently, errors are cumulative, and earlier-stage problems can severely reduce the performance of final stages. This paper presents a characterisation of genre-specific problems at each semantic annotation stage and the impact on subsequent stages. Critically, we evaluate impact on two high-level semantic annotation tasks: named entity detection and disambiguation. Our results demonstrate the importance of making approaches specific to the genre, and indicate a ...
Keyword: Applied Computer Science; Artificial Intelligence and Image Processing; FOS Computer and information sciences; FOS Languages and literature; Linguistics
URL: https://dx.doi.org/10.6084/m9.figshare.951943.v1
https://figshare.com/articles/journal_contribution/Microblog_genre_noise_and_impact_on_semantic_annotation_accuracy/951943/1
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16
Temporal Signals Help Label Temporal Relations ...
Derczynski, Leon. - : figshare, 2014
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17
Temporal Signals Help Label Temporal Relations ...
Derczynski, Leon. - : figshare, 2014
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18
Analysis of disease mention annotation with mechanical turk ...
Good, Benjamin. - : figshare, 2014
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19
TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text: slides ...
Bontcheva, Kalina; Derczynski, Leon. - : figshare, 2014
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20
Story distortions - Chinese Whisper ...
Traub, Myriam C.; Lamers, Maarten H.. - : figshare, 2014
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