Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields

2021-09-26 · Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov

The paper presents a feature-rich approach to the automatic recognition and categorization of named entities (persons, organizations, locations, and miscellaneous) in news text for Bulgarian. We combine well-established features used for other languages with language-specific lexical, syntactic and morphological information. In particular, we make use of the rich tagset annotation of the BulTreeBank (680 morpho-syntactic tags), from which we derive suitable task-specific tagsets (local and nonlocal). We further add domain-specific gazetteers and additional unlabeled data, achieving F1=89.4%, which is comparable to the state-of-the-art results for English.

📄 PDF Abstract BibTeX arXiv:2109.15121

Code (0)

등록된 구현이 없습니다.

Tasks

Miscellaneousnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)

A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition

2019-08-27 · RANLP 2019 9 · Lilia Simeonova, Kiril Simov, Petya Osenova, Preslav Nakov

We propose a morphologically informed model for named entity recognition, which is based on LSTM-CRF architecture and combines word embeddings, Bi-LSTM character embeddings, part-of-speech (POS) tags, and morphological i…

named-entity-recognition Named Entity Recognition Named Entity Recognition (NER)NER+2

Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF

2019-06-21 · WS 2019 8 · Anton A. Emelyanov, Ekaterina Artemova

In this paper we tackle multilingual named entity recognition task. We use the BERT Language Model as embeddings with bidirectional recurrent network, attention, and NCRF on the top. We apply multilingual BERT only as em…

Joint NER and Classification Language Modeling Language Modelling Multilingual Named Entity Recognition+4

TLR at BSNLP2019: A Multilingual Named Entity Recognition System

2019-08-01 · WS 2019 8 · Jose G. Moreno, Elvys Linhares Pontes, Mickael Coustaty, Antoine Doucet

This paper presents our participation at the shared task on multilingual named entity recognition at BSNLP2019. Our strategy is based on a standard neural architecture for sequence labeling. In particular, we use a mixed…

Multilingual Named Entity Recognition named-entity-recognition Named Entity Recognition Named Entity Recognition (NER)

Tuning Multilingual Transformers for Named Entity Recognition on Slavic Languages

2019-01-30 · Conference: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing 2019 1 · Mikhail Arkhipov, Maria Trofimova, Yuri Kuratov, Alexey Sorokin

Our paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish. We solve this task using the BERT model. We use a hundred languages multiling…

Multilingual Named Entity Recognition named-entity-recognition Named Entity Recognition Named Entity Recognition (NER)+2

Tuning Multilingual Transformers for Language-Specific Named Entity Recognition

2019-08-01 · WS 2019 8 · Mikhail Arkhipov, Maria Trofimova, Yuri Kuratov, Alexey Sorokin