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Sentiment Classification Considering Negation and Contrast Transition
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Negation is present in all human languages and it is used to reverse the polarity of part of statements that are otherwise affirmative by default. A negated statement often carries …...
Annotating the Focus of Negation in Japanese Text
AbstractThis paper proposes an annotation scheme for the focus of negation in Japanese text. Negation has its scope and the focus within the scope. The scope of negation is the …...
Applying the semantics of negation to SMT through n-best list re-ranking
Although the performance of SMT sys- tems has improved over a range of differ- ent linguistic phenomena, negation has not yet received adequate treatment. Previous works have considered the prob- …...
Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks
AbstractWe present a system which parses sentences into Abstract Meaning Representations, improving state-of-the-art results for this task by more than 5%. AMR graphs represent semantic content using linguistic properties such …...
Decoding Sentiment from Distributed Representations of Sentences
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If No Media Were Allowed inside the Venue, Was Anybody Allowed?
AbstractThis 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 …...
Disambiguation of Verbal Shifters
Negation is an important contextual phenomenon that needs to be addressed in sentiment analysis. Next to common negation function words, such as not or none, there is also a considerably …...
ETPC - A Paraphrase Identification Corpus Annotated with Extended Paraphrase Typology and Negation
We present the Extended Paraphrase Typology (EPT) and the Extended Typology Paraphrase Corpus (ETPC). The EPT typology addresses several practical limitations of existing paraphrase typologies: it is the first typology …...
Introducing a Lexicon of Verbal Polarity Shifters for English
The sentiment polarity of a phrase does not only depend on the polarities of its words, but also on how these are affected by their context. Negation words (e.g. not, …...
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Although the existence of English corpora annotated for negation has allowed for extensive work on monolingual negation detection, little is understood on how negation-related phenomena translate across languages. The current …...
Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment
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Corpora Annotated with Negation: An Overview
AbstractNegation is a universal linguistic phenomenon with a great qualitative impact on natural language processing applications. The availability of corpora annotated with negation is essential to training negation processing systems. …...
Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions
AbstractThe sentiment polarity of an expression (whether it is perceived as positive, negative or neutral) can be influenced by a number of phenomena, foremost among them negation. Apart from closed-class …...
It’s not a Non-Issue: Negation as a Source of Error in Machine Translation
AbstractAs machine translation (MT) systems progress at a rapid pace, questions of their adequacy linger. In this study we focus on negation, a universal, core property of human language that …...
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
AbstractBuilding on Petroni et al. 2019, we propose two new probing tasks analyzing factual knowledge stored in Pretrained Language Models (PLMs). (1) Negation. We find that PLMs do not distinguish …...
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
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Enhanced Metaphor Detection via Incorporation of External Knowledge Based on Linguistic Theories
Recently, deep neural networks (DNNs) have achieved great success in semantically chal- lenging NLP tasks, yet it remains unclear whether DNN models can capture composi- tional meanings, those aspects of …...
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Context Matters: A Pragmatic Study of PLMs’ Negation Understanding
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Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding
AbstractNegation poses a challenge in many natural language understanding tasks. Inspired by the fact that understanding a negated statement often requires humans to infer affirmative interpretations, in this paper we …...
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation
AbstractNegation is poorly captured by current language models, although the extent of this problem is not widely understood. We introduce a natural language inference (NLI) test suite to enable probing …...