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<<h2 class="element-invisible">You are here<</h2><<div class="breadcrumb"><<a href="/">Home<</a> » Innovation<</div> <<h1 class="title" id="page-title">Technologies<</h1> <</div>
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<<h2 class="block-title">See also<</h2>
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<<div class="view-content">
<<h3>Software<</h3>
<<div class="views-row views-row-1 views-row-odd views-row-first">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="<x-nlu-url>/technologies/edits</x-nlu-url>"><x-nlu-name>Edits</x-nlu-name><</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p> <x-nlu-description>A software package aimed at recognizing entailment relations between two portions of text</x-nlu-description><</p>
<</span> <</span> <</div>
<<div class="views-row views-row-2 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="<x-nlu-url>/technologies/textpro</x-nlu-url>"><x-nlu-name>TextPro</x-nlu-name><</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p><x-nlu-description>A suite of modular Natural Language Processing (NLP) tools for analysis of Italian and English texts</x-nlu-description><</p>
<</span> <</span> <</div>
<<div class="views-row views-row-3 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="<x-nlu-url>/technologies/jsre</x-nlu-url>"><x-nlu-name>jSRE</x-nlu-name><</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p><x-nlu-description>An open source Java tool for Relation Extraction</x-nlu-description> <</p>
<</span> <</span> <</div>
<<div class="views-row views-row-4 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="<x-nlu-url>/technologies/jweb1t</x-nlu-url>"><x-nlu-name>jWeb1T</x-nlu-name><</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p><x-nlu-description>An open source Java tool for efficiently searching the Web 1T 5-gram corpus</x-nlu-description><</p>
<</span> <</span> <</div>
<<div class="views-row views-row-5 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="<x-nlu-url>/technologies/jfex</x-nlu-url>"><x-nlu-name>jFex</x-nlu-name><</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p><x-nlu-description>Java tool for Feature Extraction for Natural Language Processing applications</x-nlu-description><</p>
<</span> <</span> <</div>
<<div class="views-row views-row-6 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="<x-nlu-url>/technologies/jinfil</x-nlu-url>"><x-nlu-name>jinFil</x-nlu-name><</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p><x-nlu-description>An open source Java tool for Instance Filtering</x-nlu-description><</p>
<</span> <</span> <</div>
<<div class="views-row views-row-7 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/jexsli">jExSLI<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>An open source java tool for language identification<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-8 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/jwebs">jWebS<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A software tool for Web people search<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-9 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/jtcat">jTCat<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A software tool for text categorization<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-10 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/jlsl">jLSl<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>An open source Java tool for Latent Semantic Indexing<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-11 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/eop-platform">EOP Platform<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>EXCITEMENT Open Platform<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-12 views-row-even views-row-last">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/knowledgestore">KnowledgeStore<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>Scalable storage for text and RDF data<</p>
<</span> <</span> <</div>
<<h3>Lexical resources<</h3>
<<div class="views-row views-row-1 views-row-odd views-row-first">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/multiwordnet">MultiWordNet<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A multilingual lexical database in which the Italian WordNet is strictly aligned with Princeton WordNet<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-2 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/wordnet-domains">WordNet Domains<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A lexical resource created by augmenting WordNet with domain labels. It includes <<b>WordNet-Affect<</b>.<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-3 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/sentiwords">SentiWords<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A high coverage resource containing roughly 155.000 words associated with a sentiment score <</p>
<</span> <</span> <</div>
<<div class="views-row views-row-4 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/mapnet">MapNet<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A FrameNet to WordNet Mapping<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-5 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/qall-me-ontology">QALL-ME Ontology<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A domain-specific ontology for question answering in the domain of tourism<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-6 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/sensicon">Sensicon<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A sensorial lexicon that associates English words with senses<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-7 views-row-odd views-row-last">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/lico">LICO<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A lexicon for Italian discourse connectives <</p>
<</span> <</span> <</div>
<<h3>Corpora<</h3>
<<div class="views-row views-row-1 views-row-odd views-row-first">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/corps">CORPS<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A corpus of political speeches tagged with specific audience reactions, such as applause or laughter<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-2 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/i-cab">I-CAB<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>An annotated corpus consisting of 525 news stories taken from a local newspaper<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-3 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/evalita-ner2011-dataset">Evalita NER2011 Dataset<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>The Dataset of the Evalita 2011 Named Entity Recognition Task<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-4 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/cripco">CRIPCO<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A corpus of Italian news stories annotated with information about person cross-document coreference<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-5 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/swiit">SWiiT<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>Italian Wikipedia annotated with entity mentions<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-6 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/multisemcor">MultiSemCor<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>An English/Italian parallel corpus<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-7 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/t-pas">T-PAS <</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>Typed Predicate Argument Structures for Italian<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-8 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/causal-timebank">Causal-TimeBank<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>The TimeBank corpus taken from TempEval-3 task, annotated with causal information<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-9 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/qall-me-benchmark">QALL-ME Benchmark<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>Annotated spoken requests in the tourism domain (Italian, Spanish, English and German)<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-10 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/textual-entailment-specialized-data-sets">Textual Entailment Specialized Data Sets<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>RTE-5 pairs annotated with linguistic phenomena and monothematic pairs<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-11 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/wikisents-framenet">Wikisents for FrameNet<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>Wikipedia sentences with frame labels in English and Italian<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-12 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/rte-3-ita">RTE-3-Ita<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>Italian version of the English RTE-3 dataset <</p>
<</span> <</span> <</div>
<<div class="views-row views-row-13 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/fact-ita-bank">Fact-Ita Bank<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A subpart of Ita-TimeBank annotated with factuality information<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-14 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/acetowiki">ACEtoWiki<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>An extension of the English ACE 2005 Corpus with Ground-truth Links to Wikipedia<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-15 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/textual-entailment-graph-dataset">Textual Entailment Graph Dataset<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A gold standard dataset of entailment graphs for English and Italian <</p>
<</span> <</span> <</div>
<<div class="views-row views-row-16 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/pilot-task-eventi-evalita-2014">Pilot Task of EVENTI @ Evalita 2014 <</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>Test data set of the EVENTI Pilot Task on "Temporal Processing of Historical Texts"<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-17 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/semeval2015-timeline-dataset"> SemEval2015 TimeLine Dataset<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>Dataset of the SemEval-2015 Task "TimeLine: Cross-Document Event Ordering"<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-18 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/newsreader-meantime-corpus">NewsReader MEANTIME Corpus<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A semantically annotated corpus of 480 news articles in 4 languages<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-19 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/ne-annotated-tweets-al">NE-annotated-tweets-AL<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>Tweets annotated with Named Entities following the NEEL-IT guidelines<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-20 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/witac-newsreader-wikinews-italian-corpus">WItaC - NewsReader Wikinews Italian Corpus<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>The Italian section of the NewsReader MEANTIME corpus<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-21 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/contrast-ita-bank">Contrast-Ita Bank<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A corpus annotated with discourse contrast relations in Italian<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-22 views-row-even">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/krauts">KRAUTS<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A Temporally Annotated News Corpus in German<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-23 views-row-odd">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/dpd">DPD<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A manually annotated Italian corpus of diary entries written by diabetic patients<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-24 views-row-even views-row-last">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/cosmianu1.0">COSMIANU - Corpus Of Social Media Italian Annotated with Nominal Utterances<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A manually annotated corpus of around 66,000 tokens <</p>
<</span> <</span> <</div>
<<h3>Annotation Tools<</h3>
<<div class="views-row views-row-1 views-row-odd views-row-first">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/cromer">Cromer<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p> A Tool for Cross-Document Event and Entity Coreference<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-2 views-row-even views-row-last">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/annotatorpro">AnnotatorPro<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A tool for annotation of linguistic data<</p>
<</span> <</span> <</div>
<<div class="views-row views-row-1 views-row-odd views-row-first views-row-last">
<<span class="views-field views-field-title"> <<span class="field-content"><<a href="/technologies/hlt-phonetic-scorer">HLT Phonetic Scorer<</a><</span> <</span> -
<<span class="views-field views-field-body"> <<span class="field-content"><<p>A utility to compute phonetic features of tokenized sentences<</p>
<</span> <</span> <</div>
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