davidsbatista / NER-Evaluation
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity
☆217Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for NER-Evaluation
- Evaluation script for named entity recognition (NER) systems based on entity-level F1 score.☆71Updated 3 years ago
- CrossWeigh: Training Named Entity Tagger from Imperfect Annotations☆176Updated 3 months ago
- Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.☆142Updated 4 years ago
- Recent trends of Entity Linking, Disambiguation, and Representation.☆344Updated 3 years ago
- Framework to learn Named Entity Recognition models without labelled data using weak supervision.☆124Updated 3 years ago
- Dataset for the Emerging & Novel Entity NER task (WNUT '17)☆111Updated 2 years ago
- ☆231Updated last year
- EmbedRank: Unsupervised Keyphrase Extraction using Sentence Embeddings (official implementation)☆432Updated last year
- Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).☆185Updated 3 years ago
- AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)☆137Updated last year
- An elaborate and exhaustive paper list for Named Entity Recognition (NER)☆394Updated 2 years ago
- Exploring the simple sentence similarity measurements using word embeddings☆100Updated 3 months ago
- Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)☆339Updated 2 years ago
- ☆203Updated 3 years ago
- Document ranking via sentence modeling using BERT☆143Updated last year
- Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13☆160Updated 2 weeks ago
- Framework for weakly supervised deep sequence taggers, focused on named entity recognition☆80Updated last year
- "Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) in EMNLP'15 - Python implementation☆145Updated 2 months ago
- architectures and pre-trained models for long document classification.☆154Updated 3 years ago
- [AKBC 19] Improving Relation Extraction by Pre-trained Language Representations☆108Updated 3 years ago
- Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers☆159Updated 4 years ago
- Applying BERT to named entity recognition in English and Russian.☆160Updated last year
- Context-Aware Representations for Knowledge Base Relation Extraction☆289Updated last year
- Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.☆155Updated 4 years ago
- Interpretable Evaluation for (Almost) All NLP Tasks☆193Updated 2 years ago
- BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision☆291Updated 3 years ago
- Implementation of Nested Named Entity Recognition using BERT☆138Updated 3 years ago
- Learning Named Entity Tagger from Domain-Specific Dictionary☆483Updated 5 years ago
- Cross-Lingual Alignment of Contextual Word Embeddings☆98Updated 4 years ago