Pinned Repositories
E3C-Corpus
E3C is a freely available multilingual corpus (Italian, English, French, Spanish, and Basque) of semantically annotated clinical narratives to allow for the linguistic analysis, benchmarking, and training of information extraction systems. It consists of two types of annotations: (i) clinical entities: pathologies, symptoms, procedures, body parts, etc., according to standard clinical taxonomies (i.e. SNOMED-CT, ICD-10); and (ii) temporal information and factuality: events, time expressions, and temporal relations according to the THYME standard. The corpus is organised into three layers, with different purposes. Layer 1: about 25K tokens per language with full manual annotation of clinical entities, temporal information and factuality, for benchmarkingand linguistic analysis. Layer 2: 50-100K tokens per language with semi-automatic annotations of clinical entities, to be used to train baseline systems. Layer 3: about 1M tokens per language of non-annotated medical documents to be exploited by semi-supervised approaches. Researchers can use the benchmark training and test splits of our corpus to develop and test their own models. We trained several deep learning based models and provide baselines using the benchmark. Both the corpus and the built models will be available through the ELG platform.
EOP-1.2.1
Excitement Open Platform for Textual Entailment - Release 1.2.1
Excitement-Open-Platform
Excitement Open Platform for Recognizing Textual Entailments
api-samples
Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.
batch
eop-wiki-dump
Excitement-Open-Platform
Excitement Open Platform for Recognizing Textual Entailments
lm-evaluation-harness-prova
A framework for few-shot evaluation of language models.
php-image-cache
Image Cache is a very simple PHP class that accepts an image source and will compress and cache the file, move it to a new directory, and returns the new source for the image.
synaptic
tool for sentiment and type classification for German language
rzanoli's Repositories
rzanoli/api-samples
Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.
rzanoli/batch
rzanoli/eop-wiki-dump
rzanoli/Excitement-Open-Platform
Excitement Open Platform for Recognizing Textual Entailments
rzanoli/lm-evaluation-harness-prova
A framework for few-shot evaluation of language models.
rzanoli/php-image-cache
Image Cache is a very simple PHP class that accepts an image source and will compress and cache the file, move it to a new directory, and returns the new source for the image.
rzanoli/synaptic
tool for sentiment and type classification for German language