Zahra Sarabi


A Corpus of Negations and their Underlying Positive Interpretations
Zahra Sarabi | Erin Killian | Eduardo Blanco | Alexis Palmer
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)

Negation often conveys implicit positive meaning. In this paper, we present a corpus of negations and their underlying positive interpretations. We work with negations from Simple Wikipedia, automatically generate potential positive interpretations, and then collect manual annotations that effectively rewrite the negation in positive terms. This procedure yields positive interpretations for approximately 77% of negations, and the final corpus includes over 5,700 negations and over 5,900 positive interpretations. We also present baseline results using seq2seq neural models.


If No Media Were Allowed inside the Venue, Was Anybody Allowed?
Zahra Sarabi | Eduardo Blanco
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers

This paper presents a framework to understand negation in positive terms. Specifically, we extract positive meaning from negation when the negation cue syntactically modifies a noun or adjective. Our approach is grounded on generating potential positive interpretations automatically, and then scoring them. Experimental results show that interpretations scored high can be reliably identified.


Understanding Negation in Positive Terms Using Syntactic Dependencies
Zahra Sarabi | Eduardo Blanco
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Automatic Generation and Scoring of Positive Interpretations from Negated Statements
Eduardo Blanco | Zahra Sarabi
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies


A New DOP Model for Phrase-structure Parsing of Persian Sentences
Zahra Sarabi | Morteza Analoui
Proceedings of the 10th Workshop on Asian Language Resources