Search Results for author: Rita Sevastjanova

Found 6 papers, 1 papers with code

Is that really a question? Going beyond factoid questions in NLP

1 code implementation IWCS (ACL) 2021 Aikaterini-Lida Kalouli, Rebecca Kehlbeck, Rita Sevastjanova, Oliver Deussen, Daniel Keim, Miriam Butt

Research in NLP has mainly focused on factoid questions, with the goal of finding quick and reliable ways of matching a query to an answer.

Explaining Contextualization in Language Models using Visual Analytics

no code implementations ACL 2021 Rita Sevastjanova, Aikaterini-Lida Kalouli, Christin Beck, Hanna Sch{\"a}fer, Mennatallah El-Assady

Despite the success of contextualized language models on various NLP tasks, it is still unclear what these models really learn.

XplaiNLI: Explainable Natural Language Inference through Visual Analytics

no code implementations COLING 2020 Aikaterini-Lida Kalouli, Rita Sevastjanova, Valeria de Paiva, Richard Crouch, Mennatallah El-Assady

Advances in Natural Language Inference (NLI) have helped us understand what state-of-the-art models really learn and what their generalization power is.

Natural Language Inference

ParHistVis: Visualization of Parallel Multilingual Historical Data

no code implementations WS 2019 Aikaterini-Lida Kalouli, Rebecca Kehlbeck, Rita Sevastjanova, Katharina Kaiser, Georg A. Kaiser, Miriam Butt

The study of language change through parallel corpora can be advantageous for the analysis of complex interactions between time, text domain and language.

VIANA: Visual Interactive Annotation of Argumentation

no code implementations29 Jul 2019 Fabian Sperrle, Rita Sevastjanova, Rebecca Kehlbeck, Mennatallah El-Assady

The results show that experts prefer our system over existing solutions due to the speedup provided by the automatic suggestions and the tight integration between text and graph views.

Language Modelling

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