v0.1.5: resolve SentencePiece dependency issue

• resolve SentencePiece dependency issue

v0.1.4: Remove Flair, OpenIE modules & Improve Triple logic

• remove Flair, we only use huggingface for named entity recognition
• remove OpenIE-based open-scheme triple score (too unstable)
• apply hf's official named entity recognition aggregation strategy
• fix BERTScore length issues by applying iteration with summary lines

v0.1.2: Update with BERTScore

Update BERTScore based Module (See Sec 4.1 from https://arxiv.org/pdf/2005.03754.pdf)

>>> factsumm = FactSumm()
>>> factsumm.calculate_bert_score(article, summary)
BERTScore Score
Precision: 0.9151781797409058
Recall: 0.9141832590103149
F1: 0.9150083661079407

v0.1.1: Initial pypi release

Currently FactSumm supports the following methods:

• NER + RE based Triple Module
• QG + QA based Module
• OpenIE based Triple Module
• ROUGE based Module