Method and apparatus for automatic entity disambiguation
Entity disambiguation resolves which names, words, or phrases in text correspond to distinct
persons, organizations, locations, or other entities in the context of an entire corpus. The …
persons, organizations, locations, or other entities in the context of an entire corpus. The …
[PDF][PDF] Training and Evaluating a German Named Entity Recognizer with Semantic Generalization.
We present a freely available optimized Named Entity Recognizer (NER) for German. It
alleviates the small size of available NER training corpora for German with distributional …
alleviates the small size of available NER training corpora for German with distributional …
Challenges in building a multilingual alpine heritage corpus
M Volk, N Bubenhofer, A Althaus, M Bangerter, L Furrer… - 2010 - zora.uzh.ch
This paper describes our efforts to build a multilingual heritage corpus of alpine texts.
Currently we digitize the yearbooks of the Swiss Alpine Club which contain articles in …
Currently we digitize the yearbooks of the Swiss Alpine Club which contain articles in …
Fusion of multiple features for Chinese named entity recognition based on CRF model
Y Zhang, Z Xu, T Zhang - Asia Information Retrieval Symposium, 2008 - Springer
This paper presents the ability of Conditional Random Field (CRF) combining with multiple
features to perform robust and accurate Chinese Named Entity Recognition. We describe …
features to perform robust and accurate Chinese Named Entity Recognition. We describe …
[BOOK][B] Techniques for the Automatic Extraction of Character Networks in German Historic Novels
M Krug - 2020 - search.proquest.com
Abstract Recent advances in Natural Language Preprocessing (NLP) allow for a fully
automatic extraction of character networks for an incoming text. These networks serve as a …
automatic extraction of character networks for an incoming text. These networks serve as a …
A method of Chinese named entity recognition based on CNN-BiLSTM-CRF model
S Long, R Yuan, L Yi, L Xue - … 2018, Zhengzhou, China, September 21-23 …, 2018 - Springer
The main task of naming entity recognition is to identify the person names, location names,
organization names, meaningful time, dates and other quantitative phrases and also …
organization names, meaningful time, dates and other quantitative phrases and also …
[PDF][PDF] CRF-based hybrid model for word segmentation, NER and even POS tagging
Z Xu, X Qian, Y Zhang, Y Zhou - … of the sixth SIGHAN workshop on …, 2008 - aclanthology.org
This paper presents systems submitted to the close track of Fourth SIGHAN Bakeoff. We built
up three systems based on Conditional Random Field for Chinese Word Segmentation …
up three systems based on Conditional Random Field for Chinese Word Segmentation …
Hybrid methods for coreference resolution in Swedish
K Nilsson - 2010 - diva-portal.org
The aim of this thesis is to improve coreference resolution in Swedish by providing a hybrid
approach based on combining data-driven methods and linguistic knowledge. Coreference …
approach based on combining data-driven methods and linguistic knowledge. Coreference …
[PDF][PDF] The automatic resolution of prepositional phrase attachment ambiguities in German
M Volk - Zürich [Habilitation Thesis], 2001 - Citeseer
In recent years vast amounts of texts in machine-readable form have become available
through the internet and on mass storage devices (such as CD-ROMs or DVDs). The texts …
through the internet and on mass storage devices (such as CD-ROMs or DVDs). The texts …
[PDF][PDF] Corpus-based Learning of Lexical Resources for German Named Entity Recognition.
M Rössler - LREC, 2004 - lrec-conf.org
This paper explores the use of unlabeled data in a knowledge-poor approach to German
NER. German is especially interesting for NER since not only names but all nouns are …
NER. German is especially interesting for NER since not only names but all nouns are …