We introduce TAPHSIR, a tool for anaphoric ambiguity detection and anaphora
resolution in requirements. TAPHSIR facilities reviewing the use of pronouns in
a requirements specification and revising those pronouns that can lead to
misunderstandings during the development process. To this end, TAPHSIR detects
the requirements which have potential anaphoric ambiguity and further attempts
interpreting anaphora occurrences automatically. TAPHSIR employs a hybrid
solution composed of an ambiguity detection solution based on machine learning
and an anaphora resolution solution based on a variant of the BERT language
model. Given a requirements specification, TAPHSIR decides for each pronoun
occurrence in the specification whether the pronoun is ambiguous or
unambiguous, and further provides an automatic interpretation for the pronoun.
The output generated by TAPHSIR can be easily reviewed and validated by
requirements engineers. TAPHSIR is publicly available on Zenodo (DOI:
https://doi.org/10.5281/zenodo.5902117).

TAPHSIR 是一种用于需求中语义指代消解的工具，它采用基于机器学习的歧义检测和基于 BERT 语言模型的语义指代消解技术，对需求中的代词进行判断和解释，以避免在开发过程中产生误解。