Negation and speculation in NLP: a Survey, Corpora, methods, and applications
Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …
Natural Language Processing (NLP) applications, such as those for opinion mining and …
Recent advances in processing negation
Negation is a complex linguistic phenomenon present in all human languages. It can be
seen as an operator that transforms an expression into another expression whose meaning …
seen as an operator that transforms an expression into another expression whose meaning …
Improving sentiment analysis with multi-task learning of negation
Sentiment analysis is directly affected by compositional phenomena in language that act on
the prior polarity of the words and phrases found in the text. Negation is the most prevalent …
the prior polarity of the words and phrases found in the text. Negation is the most prevalent …
Sentiment analysis is not solved! assessing and probing sentiment classification
Neural methods for SA have led to quantitative improvements over previous approaches, but
these advances are not always accompanied with a thorough analysis of the qualitative …
these advances are not always accompanied with a thorough analysis of the qualitative …
End-to-end negation resolution as graph parsing
We present a neural end-to-end architecture for negation resolution based on a formulation
of the task as a graph parsing problem. Our approach allows for the straightforward inclusion …
of the task as a graph parsing problem. Our approach allows for the straightforward inclusion …
Revisiting negation in neural machine translation
G Tang, P Rönchen, R Sennrich… - Transactions of the …, 2021 - direct.mit.edu
In this paper, we evaluate the translation of negation both automatically and manually, in
English–German (EN–DE) and English–Chinese (EN–ZH). We show that the ability of …
English–German (EN–DE) and English–Chinese (EN–ZH). We show that the ability of …
Thirty musts for meaning banking
J Bos, L Abzianidze - arXiv preprint arXiv:2005.13421, 2020 - arxiv.org
Meaning banking--creating a semantically annotated corpus for the purpose of semantic
parsing or generation--is a challenging task. It is quite simple to come up with a complex …
parsing or generation--is a challenging task. It is quite simple to come up with a complex …
Neural networks for cross-lingual negation scope detection
Negation scope has been annotated in several English and Chinese corpora, and highly
accurate models for this task in these languages have been learned from these annotations …
accurate models for this task in these languages have been learned from these annotations …
Neural token representations and negation and speculation scope detection in biomedical and general domain text
Since the introduction of context-aware token representation techniques such as
Embeddings from Language Models (ELMo) and Bidirectional Encoder Representations …
Embeddings from Language Models (ELMo) and Bidirectional Encoder Representations …
Cross-lingual transfer-learning approach to negation scope resolution
A Shaitarova, L Furrer, F Rinaldi - CEUR Workshop proceedings, 2020 - zora.uzh.ch
Detecting instances of negation in text is crucially important for several applications, yet it is
often neglected. Several decades of research in automated negation detection have not yet …
often neglected. Several decades of research in automated negation detection have not yet …