Руководство по аннотации

otherentity ID: annotationguideline

Related Papers

Annotated Corpora for Word Alignment between Japanese and English and its Evaluation with MAP-based Word Aligner

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractThis paper presents two annotated corpora for word alignment between Japanese and English. We annotated on top of the IWSLT-2006 and the NTCIR-8 corpora. The IWSLT-2006 corpus is in the …...

13359

A Regional News Corpora for Contextualized Entity Discovery and Linking

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractThis paper presents a German corpus for Named Entity Linking (NEL) and Knowledge Base Population (KBP) tasks. We describe the annotation guideline, the annotation process, NIL clustering techniques and conversion …...

15185

SemEval-2016 Task 2: Interpretable Semantic Textual Similarity

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

The final goal of Interpretable Semantic Tex- tual Similarity (iSTS) is to build systems that explain which are the differences and com- monalities between two sentences. The task adds an …...

22504

Universal Dependencies for Ainu

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

This paper reports an on-going effort to create a dependency tree bank for the Ainu language in the scheme of Universal Dependencies (UD). The task is crucial both language-internally (language …...

17653

Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractApplying natural language processing (NLP) to medical and clinical texts can bring important social benefits by mining valuable information from unstructured text. A popular application for that purpose is named …...

14392

MemoSen: A Multimodal Dataset for Sentiment Analysis of Memes

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractPosting and sharing memes have become a powerful expedient of expressing opinions on social media in recent days. Analysis of sentiment from memes has gained much attention to researchers due …...

16138