Learning multilingual named entity recognition from Wikipedia
We automatically create enormous, free and multilingual silver-standard training annotations
for named entity recognition (ner) by exploiting the text and structure of Wikipedia. Most ner …
for named entity recognition (ner) by exploiting the text and structure of Wikipedia. Most ner …
Sentiment analysis of political communication: Combining a dictionary approach with crowdcoding
M Haselmayer, M Jenny - Quality & quantity, 2017 - Springer
Sentiment is important in studies of news values, public opinion, negative campaigning or
political polarization and an explosive expansion of digital textual data and fast progress in …
political polarization and an explosive expansion of digital textual data and fast progress in …
Social haystack: Dynamic quality assessment of citizen-generated content during emergencies
People all over the world are regularly affected by disasters and emergencies. Besides
official emergency services, ordinary citizens are getting increasingly involved in crisis …
official emergency services, ordinary citizens are getting increasingly involved in crisis …
[PDF][PDF] Processing and querying large web corpora with the COW14 architecture
R Schäfer - Proceedings of the 3rd Workshop on Challenges in …, 2015 - ids-pub.bsz-bw.de
In this paper, I present the COW14 tool chain, which comprises a web corpus creation tool
called texrex, wrappers for existing linguistic annotation tools as well as an online query …
called texrex, wrappers for existing linguistic annotation tools as well as an online query …
POLYGLOT-NER: Massive Multilingual Named Entity Recognition
The increasing diversity of languages used on the web introduces a new level of complexity
to Information Retrieval (IR) systems. We can no longer assume that textual content is written …
to Information Retrieval (IR) systems. We can no longer assume that textual content is written …
Cross-lingual word clusters for direct transfer of linguistic structure
It has been established that incorporating word cluster features derived from large unlabeled
corpora can significantly improve prediction of linguistic structure. While previous work has …
corpora can significantly improve prediction of linguistic structure. While previous work has …
Fine-grained named entity recognition in legal documents
This paper describes an approach at Named Entity Recognition (NER) in German language
documents from the legal domain. For this purpose, a dataset consisting of German court …
documents from the legal domain. For this purpose, a dataset consisting of German court …
[HTML][HTML] Robust multilingual named entity recognition with shallow semi-supervised features
We present a multilingual Named Entity Recognition approach based on a robust and
general set of features across languages and datasets. Our system combines shallow local …
general set of features across languages and datasets. Our system combines shallow local …
[PDF][PDF] NoSta-D Named Entity Annotation for German: Guidelines and Dataset.
We describe the annotation of a new dataset for German Named Entity Recognition (NER).
The need for this dataset is motivated by licensing issues and consistency issues of existing …
The need for this dataset is motivated by licensing issues and consistency issues of existing …
[PDF][PDF] Bootstrapped named entity recognition for product attribute extraction
D Putthividhya, J Hu - Proceedings of the 2011 Conference on …, 2011 - aclanthology.org
We present a named entity recognition (NER) system for extracting product attributes and
values from listing titles. Information extraction from short listing titles present a unique …
values from listing titles. Information extraction from short listing titles present a unique …