Search Results for author: Aikaterini-Lida Kalouli

Found 14 papers, 6 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

Hy-NLI: a Hybrid system for Natural Language Inference

2 code implementations COLING 2020 Aikaterini-Lida Kalouli, Richard Crouch, Valeria de Paiva

Despite the advances in Natural Language Inference through the training of massive deep models, recent work has revealed the generalization difficulties of such models, which fail to perform on adversarial datasets with challenging linguistic phenomena.

Natural Language Inference

Explaining Simple Natural Language Inference

1 code implementation WS 2019 Aikaterini-Lida Kalouli, Annebeth Buis, Livy Real, Martha Palmer, Valeria de Paiva

The vast amount of research introducing new corpora and techniques for semi-automatically annotating corpora shows the important role that datasets play in today{'}s research, especially in the machine learning community.

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.

Composing Noun Phrase Vector Representations

no code implementations WS 2019 Aikaterini-Lida Kalouli, Valeria de Paiva, Richard Crouch

First, we propose that the semantic and not the syntactic contribution of each component of a noun phrase should be considered, so that the resulting composed vectors express more of the phrase meaning.

Word Embeddings

GKR: Bridging the Gap between Symbolic/structural and Distributional Meaning Representations

1 code implementation WS 2019 Aikaterini-Lida Kalouli, Richard Crouch, Valeria de Paiva

This work focuses on an example of the third and less studied approach: it extends the Graphical Knowledge Representation (GKR) to include distributional features and proposes a division of semantic labour between the distributional and structural/symbolic features.

Named Graphs for Semantic Representation

no code implementations SEMEVAL 2018 Richard Crouch, Aikaterini-Lida Kalouli

A position paper arguing that purely graphical representations for natural language semantics lack a fundamental degree of expressiveness, and cannot deal with even basic Boolean operations like negation or disjunction.

Knowledge Graphs

GKR: the Graphical Knowledge Representation for semantic parsing

no code implementations WS 2018 Aikaterini-Lida Kalouli, Richard Crouch

This paper describes the first version of an open-source semantic parser that creates graphical representations of sentences to be used for further semantic processing, e. g. for natural language inference, reasoning and semantic similarity.

Natural Language Inference Semantic Parsing +2

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