Iryna Gurevych

Publications436
h-index57
Citations12,148
Highly Influential Citations1,201
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
TLDR
We present Sentence-BERT (SBERT), a modification of the pretrained BERT network that use siamese and triplet network structures to derive semantically meaningful sentence embeddings that can be compared using cosine-similarity. Expand
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A Monolingual Tree-based Translation Model for Sentence Simplification
TLDR
We propose a Tree-based Simplification Model (TSM), which, to our knowledge, is the first statistical simplification model covering splitting, dropping, reordering and substitution integrally. Expand
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Parsing Argumentation Structures in Persuasive Essays
TLDR
We identify argument components using sequence labeling at the token level and apply a new joint model for detecting argumentation structures. Expand
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Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields
TLDR
We investigate the performance of our CRF-based approach and the baseline in a single-domain opinion target extraction task. Expand
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UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures
TLDR
We present the UKP system which performed best in the Semantic Textual Similarity (STS) task at SemEval-2012 in two out of three metrics. Expand
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Identifying Argumentative Discourse Structures in Persuasive Essays
TLDR
In this paper, we present a novel approach for identifying argumentative discourse structures in persuasive essays. Expand
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Annotating Argument Components and Relations in Persuasive Essays
TLDR
We propose an annotation scheme that includes the annotation of claims and premises as well as support and attack relations for capturing the structure of argumentative discourse. Expand
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Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary
TLDR
We present two application programming interfaces for Wikipedia and Wiktionary which are especially designed for mining the rich lexical semantic information dispersed in the knowledge bases and provide efficient and structured access to the available knowledge. Expand
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What helps where – and why? Semantic relatedness for knowledge transfer
TLDR
We provide a rigorous experimental evaluation of different knowledge bases and state-of-the-art techniques from Natural Language Processing which goes far beyond the limited use of language in related work. Expand
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WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations
TLDR
We present WebAnno, a general purpose web-based annotation tool that is immediately usable by any annotator with internet access. Expand
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