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Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings ...
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Improving Factual Consistency of Abstractive Summarization via Question Answering ...
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InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ...
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Cross-language Sentence Selection via Data Augmentation and Rationale Training ...
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Event Guided Denoising for Multilingual Relation Learning ...
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WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization ...
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Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages ...
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Event-Guided Denoising for Multilingual Relation Learning ...
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Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations ...
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Incorporating Terminology Constraints in Automatic Post-Editing ...
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A Unified Feature Representation for Lexical Connotations ...
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Abstract:
Ideological attitudes and stance are often expressed through subtle meanings of words and phrases. Understanding these connotations is critical to recognizing the cultural and emotional perspectives of the speaker. In this paper, we use distant labeling to create a new lexical resource representing connotation aspects for nouns and adjectives. Our analysis shows that it aligns well with human judgments. Additionally, we present a method for creating lexical representations that captures connotations within the embedding space and show that using the embeddings provides a statistically significant improvement on the task of stance detection when data is limited. ... : EACL 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2006.00635 https://dx.doi.org/10.48550/arxiv.2006.00635
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Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines ...
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Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
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In: Proc AAAI ACM Conf AI Ethics Soc (2020)
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Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation
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Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation ...
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Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars
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Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars
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