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Event Schema Induction with a Probabilistic Entity-Driven Model

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Publication: TIPSTER (2013)

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Event schema induction is the task of learning high-level representations of complex events (e.g., a bombing) and their entity roles (e.g., perpetrator and victim) from unlabeled text. Event schemas have …...

34546

Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing

Authors: nan

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Meaning Representation parsing James Goodman∗ Andreas Vlachos† Jason Naradowsky∗ ∗ Computer Science Department, University College London james@janigo.co.uk, jason.narad@gmail.com † Department of Computer Science, University of Sheffield a.vlachos@sheffield.ac.uk Abstract Semantic parsers …...

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Cheap Translation for Cross-Lingual Named Entity Recognition

Authors: nan

Publication: TIPSTER (2017)

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AbstractRecent work in NLP has attempted to deal with low-resource languages but still assumed a resource level that is not present for most languages, e.g., the availability of Wikipedia in …...

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IMHO Fine-Tuning Improves Claim Detection

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AbstractClaims are the central component of an argument. Detecting claims across different domains or data sets can often be challenging due to their varying conceptualization. We propose to alleviate this …...

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Sequence Labeling Parsing by Learning across Representations

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AbstractWe use parsing as sequence labeling as a common framework to learn across constituency and dependency syntactic abstractions. To do so, we cast the problem as multitask learning (MTL). First, …...

39432

A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling

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AbstractDocument-level relation extraction (RE) aims to identify relations between entities across multiple sentences. Most previous methods focused on document-level RE under full supervision. However, in real-world scenario, it is expensive …...

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Complex Reading Comprehension Through Question Decomposition

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Multi-hop reading comprehension requires not only the ability to reason over raw text but also the ability to combine multiple evidence. We propose a novel learning approach that helps language …...

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