paper-notes

Notes from papers I'm reading, ordered by topic and chronologically.

Inspired by anebz repository.

NLP

Architectures

1. Maximum Entropy Markov Models for Information Extraction and Segmentation - McCallum et al. - 2000 [Paper] [Notes]

2. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data - Lafferty et al. - 2001 [Paper] [Notes]

Corpus

1. SemClinBr – a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks - Oliveira et al. - 2020 [Paper] [Notes]

Entity and Relation Extraction

1. Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2020 - Piad-Morffis et al. - 2020 [Paper] [Notes]

2. Vicomtech at eHealth-KD Challenge 2020: Deep End-to-End Model for Entity and Relation Extraction in Medical Text - García-Pablos et al. - 2020 [Paper] [Notes]

Evaluation

1. Beyond Accuracy: Behavioral Testing of NLP Models with CheckList - Ribeiro et al. - 2020 [Paper] [Notes]

Named Entity Recognition

1. Portuguese Named Entity Recognition using BERT-CRF - Souza et al. - 2020 [Paper] [Notes]

2. BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition - Schneider et al. - 2020 [Paper] [Notes]

Text segmentation & classification

1. SECTOR: A Neural Model for Coherent Topic Segmentation and Classification - Arnold et al. - 2019 [Paper] [Notes]

2. Chapter Captor: Text Segmentation in Novels - Pethe et al. - 2020 [Paper] [Notes]