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Annotation Guidelines for Named Entity Recognition, Entity Linking and Stance Detection ...
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Impact Analysis of Document Digitization on Event Extraction ...
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Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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Impact Analysis of Document Digitization on Event Extraction ...
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Annotation Guidelines for Named Entity Recognition, Entity Linking and Stance Detection ...
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THE ROLE OF FORENSIC LINGUISTICS IN CRIME INVESTIGATION: USES IN LEGAL PROCEEDINGS ...
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THE ROLE OF FORENSIC LINGUISTICS IN CRIME INVESTIGATION: USES IN LEGAL PROCEEDINGS ...
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First DIHARD Challenge -- System Submissions and Scores ...
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First DIHARD Challenge -- System Submissions and Scores ...
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Abstract:
This dataset contains all submissions to the First DIHARD Speech Diarization Challenge (DIHARD I) as well as the output of the official scoring tool for these submissions. We are releasing it to the research community to support the development of new evaluation metrics for speech activity detection/diarization and system combination techniques. For more details about the evaluation, please consult the evaluation plan: https://zenodo.org/record/1199638 or the evaluation website: https://dihardchallenge.github.io/dihard1/index.html **NOTE** that this release only includes the system RTTMs that teams submitted to the DIHARD I scoring server. It does **NOT** include the DIHARD I evaluation set reference RTTMs and UEMs, which are needed to score the system outputs. These reference RTTM/UEM files are distributed by the Linguistic Data Consortium (LDC) as part of LDC2019S12 and LDC2019S13: LDC2019S12 -- First DIHARD Challenge Evaluation - Nine Sources LDC2019S13 -- First DIHARD Challenge Evaluation - SEEDLingS ...
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Keyword:
diarization; DIHARD; domain adaptation; machine learning; speaker diarization; speech activity detection; speech technology; system combination
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URL: https://zenodo.org/record/4563220 https://dx.doi.org/10.5281/zenodo.4563220
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Assessing the Linguistic Quality of REST APIs for IoT Applications ...
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Assessing the Linguistic Quality of REST APIs for IoT Applications ...
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Recovering capitalization and punctuation marks for automatic speech recognition: case study for Portuguese broadcast news
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On the Role of Images for Analyzing Claims in Social Media ...
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PLPrepare: A Grammar Checker for Challenging Cases
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In: Electronic Theses and Dissertations (2021)
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An Explainable Approach Based on Emotion and Sentiment Features for Detecting People with Mental Disorders on Social Networks
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In: Applied Sciences ; Volume 11 ; Issue 22 (2021)
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Comparison of Machine Learning and Sentiment Analysis in Detection of Suspicious Online Reviewers on Different Type of Data
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In: Sensors; Volume 22; Issue 1; Pages: 155 (2021)
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