Labelled Data

material ID: labelleddata

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Accurate dependency recovery has recently been reported for a number of wide-coverage statistical parsers using Combinatory Categorial Grammar (CCG). However, overall figures give no indication of a parser’s performance on …...

44970

Leveraging Linguistic Resources for Improving Neural Text Classification

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This paper presents a deep linguistic atten- tional framework which incorporates word level concept information into neural clas- sification models. While learning neural classification models often requires a large amount …...

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Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting

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Analyzing the sentiments of legal opinions available in Legal Opinion Texts can facili- tate several use cases such as legal judgement prediction, contradictory statements identi- fication and party-based sentiment analysis. …...

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Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning

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AbstractIn this paper, we propose a meta-learning based semi-supervised explicit dialogue state tracker (SEDST) for neural dialogue generation, denoted as MEDST. Our main motivation is to further bridge the chasm …...

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Direct Exploitation of Attention Weights for Translation Quality Estimation

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AbstractThe paper presents our submission to the WMT2021 Shared Task on Quality Estimation (QE). We participate in sentence-level predictions of human judgments and post-editing effort. We propose a glass-box approach …...

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Guiding Neural Entity Alignment with Compatibility

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AbstractEntity Alignment (EA) aims to find equivalent entities between two Knowledge Graphs (KGs). While numerous neural EA models have been devised, they are mainly learned using labelled data only. In …...

31587