Results 11 to 20 of about 26,352 (99)
Mining Images in Biomedical Publications: Detection and Analysis of Gel Diagrams [PDF]
, 2014 Authors of biomedical publications use gel images to report experimental results such as protein-protein interactions or protein expressions under different conditions. Gel images offer a concise way to communicate such findings, not all of which need to
Krauthammer, Michael +3 more
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On Horizontal and Vertical Separation in Hierarchical Text Classification [PDF]
, 2016 Hierarchy is a common and effective way of organizing data and representing their relationships at different levels of abstraction. However, hierarchical data dependencies cause difficulties in the estimation of "separable" models that can distinguish ...
Chen M. +8 more
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Exploiting `Subjective' Annotations [PDF]
, 2008 Many interesting phenomena in conversation can only be annotated as a subjective task, requiring interpretative judgements from annotators. This leads to data which is annotated with lower levels of agreement not only due to errors in the annotation, but
Akker, Rieks op den, Reidsma, Dennis
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Active learning in annotating micro-blogs dealing with e-reputation
, 2017 Elections unleash strong political views on Twitter, but what do people really think about politics? Opinion and trend mining on micro blogs dealing with politics has recently attracted researchers in several fields including Information Retrieval and ...
Cossu, Jean-Valère +2 more
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, 2017 This paper evaluates the impact of various event extraction systems on automatic pathway curation using the popular mTOR pathway. We quantify the impact of training data sets as well as different machine learning classifiers and show that some improve ...
Kusa, Wojciech, Spranger, Michael
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, 2020 The mass-count distinction is a morpho-syntactic distinction among nouns that is generally taken to have semantic content. This content is generally taken to reflect a conceptual, cognitive, or ontological distinction and relates to philosophical and ...
Moltmann, Friederike
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Hi, how can I help you?: Automating enterprise IT support help desks
, 2017 Question answering is one of the primary challenges of natural language understanding. In realizing such a system, providing complex long answers to questions is a challenging task as opposed to factoid answering as the former needs context ...
Aralikatte, Rahul +9 more
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Domain Adaptation for Statistical Classifiers
, 2011 The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applications, the "in-domain" test data is drawn from a distribution that is related,
Daume III, H., Marcu, D.
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A formal theory of conceptual modeling universals [PDF]
, 2004 Conceptual Modeling is a discipline of great relevance to several areas in Computer Science. In a series of papers [1,2,3] we have been using the General Ontological Language (GOL) and its underlying upper level ontology, proposed in [4,5], to evaluate ...
Guizzardi, Giancarlo +2 more
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USFD at KBP 2011: Entity Linking, Slot Filling and Temporal Bounding [PDF]
, 2011 This paper describes the University of Sheffield's entry in the 2011 TAC KBP entity linking and slot filling tasks. We chose to participate in the monolingual entity linking task, the monolingual slot filling task and the temporal slot filling tasks.
Alhelbawy, Ayman +6 more
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