Semantic representation of negation using focus detection
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Inferring the scope of negation in biomedical documents
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Did it happen? the pragmatic complexity of veridicality assessment
Computational Linguistics
Fine-grained focus for pinpointing positive implicit meaning from negated statements
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
UCM-2: a rule-based approach to infer the scope of negation via dependency parsing
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
UConcordia: CLaC negation focus detection at *Sem 2012
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
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These proceedings contain the papers and invited talks presented at the Workshop on Negation and Speculation in Natural Language Processing (NeSp-NLP 2010) that was held on the 10th of July, 2010 in Uppsala, Sweden. The program consisted of five invited talks, seven presentations of long papers and two of short papers. When we thought of organising this workshop, we aimed at bringing together researchers working on negation and speculation from any area related to computational language learning and processing. Specific goals were to describe the lexical aspects of negation and speculation, to define how the semantics of these phenomena can be modelled for computational purposes, to explore techniques aimed at learning the factuality of an statement, and to analyse how the treatment of these phenomena affects the efficiency of Natural Language Processing (NLP) applications. Negation and speculation are two linguistic phenomena involved in deep understanding of text. They are resources used to express the factuality of statements, which indicates to which extent a statement is or is not a fact. Negation turns an affirmative statement into negative (it rains/it does not rain). Speculation is used to express levels of certainty (it might rain/apparently, it will rain/ it is likely to rain/it is not clear whether it will rain/we suspect that it will rain). We knew that negation and speculation (or modality) have been extensively studied from a theoretical perspective. Furthermore, we also believed that there was enough interest on these topics among the NLP community and that there was enough research going on, so as to organise a topical workshop, the first of its kind as far as we know.