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A Hybrid Framework for Topic Structure using Laughter Occurrences ...
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Bio-entity recognition for SABIO-RK database ...
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Abstract:
SABIO-RK (http://sabiork.h-its.org) has been developed as an absolutely expert-curated database for biochemical reactions and their kinetic properties with the aim of supporting the computational modeling to create models of biochemical reaction networks and also allowing the experimentalists to acquire further knowledge about enzymatic activities and reaction properties. This work is an initial attempt to use text-mining tools in order to facilitate annotators of the database. The most fundamental task in biomedical text mining is the recognition of named entities (called NER) or simply bio-entities, such as proteins, species, diseases, chemicals or mutations. Current state-of-the-art NER methods rely on pre-defined features that try to capture the specific surface properties of entity types, properties of the typical local context, background knowledge, and linguistic information, which is a data- and computation-intensive process. In this work we explore and compare two modes of bio-entity recognition, ...
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URL: https://dx.doi.org/10.7490/f1000research.1116804.1 https://f1000research.com/posters/8-748
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End-to-End Acoustic Feedback in Language Learning for Correcting Devoiced French Final-Fricatives
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In: Interspeech 2017 ; https://hal.inria.fr/hal-01721562 ; Interspeech 2017, Aug 2017, Stockholm, Sweden. pp.1-5, ⟨10.21437/Interspeech.2017-1031⟩ (2017)
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L1-L2 Interference: The case of final devoicing of French voiced fricatives in final position by German learners
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In: Interspeech 2016 ; https://hal.inria.fr/hal-01397176 ; Interspeech 2016, Sep 2016, San Francisco, United States. pp.3156 - 3160, ⟨10.21437/Interspeech.2016-954⟩ (2016)
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Investigating Fine Temporal Dynamics of Prosodic and Lexical Accommodation
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