no code implementations • 31 Jan 2024 • Jan Buchmann, Max Eichler, Jan-Micha Bodensohn, Ilia Kuznetsov, Iryna Gurevych
Long documents often exhibit structure with hierarchically organized elements of different functions, such as section headers and paragraphs.
1 code implementation • 24 Feb 2023 • Dennis Zyska, Nils Dycke, Jan Buchmann, Ilia Kuznetsov, Iryna Gurevych
Recent years have seen impressive progress in AI-assisted writing, yet the developments in AI-assisted reading are lacking.
1 code implementation • 19 Dec 2022 • Martin Funkquist, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych
To address this challenge, we propose CiteBench: a benchmark for citation text generation that unifies multiple diverse datasets and enables standardized evaluation of citation text generation models across task designs and domains.
1 code implementation • 12 Nov 2022 • Nils Dycke, Ilia Kuznetsov, Iryna Gurevych
Peer review constitutes a core component of scholarly publishing; yet it demands substantial expertise and training, and is susceptible to errors and biases.
no code implementations • 10 Nov 2022 • Ilia Kuznetsov, Iryna Gurevych
Natural language processing (NLP) researchers develop models of grammar, meaning and communication based on written text.
1 code implementation • 22 Apr 2022 • Ilia Kuznetsov, Jan Buchmann, Max Eichler, Iryna Gurevych
While existing NLP studies focus on the analysis of individual texts, editorial assistance often requires modeling interactions between pairs of texts -- yet general frameworks and datasets to support this scenario are missing.
1 code implementation • 27 Jan 2022 • Nils Dycke, Ilia Kuznetsov, Iryna Gurevych
The shift towards publicly available text sources has enabled language processing at unprecedented scale, yet leaves under-serviced the domains where public and openly licensed data is scarce.
no code implementations • 2 Sep 2021 • Nils Dycke, Edwin Simpson, Ilia Kuznetsov, Iryna Gurevych
Peer review is the primary means of quality control in academia; as an outcome of a peer review process, program and area chairs make acceptance decisions for each paper based on the review reports and scores they received.
no code implementations • EMNLP 2020 • Ilia Kuznetsov, Iryna Gurevych
Deep pre-trained contextualized encoders like BERT (Delvin et al., 2019) demonstrate remarkable performance on a range of downstream tasks.
1 code implementation • NAACL 2019 • Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao
We then focus on the role of the rebuttal phase, and propose a novel task to predict after-rebuttal (i. e., final) scores from initial reviews and author responses.
3 code implementations • CL 2020 • Gözde Gül Şahin, Clara Vania, Ilia Kuznetsov, Iryna Gurevych
We present a reusable methodology for creation and evaluation of such tests in a multilingual setting.
no code implementations • CONLL 2018 • Ilia Kuznetsov, Iryna Gurevych
Thematic role hierarchy is a widely used linguistic tool to describe interactions between semantic roles and their syntactic realizations.
1 code implementation • COLING 2018 • Ilia Kuznetsov, Iryna Gurevych
We examine the effect of lemmatization and POS typing on word embedding performance in a novel resource-based evaluation scenario, as well as on standard similarity benchmarks.
1 code implementation • SEMEVAL 2017 • Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov, Masoud Kiaeeha, Iryna Gurevych
From these approaches, we created an ensemble of differently hyper-parameterized systems, achieving a micro-F1-score of 0. 63 on the test data.
no code implementations • EACL 2017 • Silvana Hartmann, Ilia Kuznetsov, Teresa Martin, Iryna Gurevych
We create a novel test set for FrameNet SRL based on user-generated web text and find that the major bottleneck for out-of-domain FrameNet SRL is the frame identification step.
no code implementations • WS 2017 • Silvana Hartmann, {\'E}va M{\'u}jdricza-Maydt, Ilia Kuznetsov, Iryna Gurevych, Anette Frank
We present the first experiment-based study that explicitly contrasts the three major semantic role labeling frameworks.