Search Results for author: Judith Eckle-Kohler

Found 23 papers, 5 papers with code

Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization

no code implementations ACL 2017 Maxime Peyrard, Judith Eckle-Kohler

We present a new supervised framework that learns to estimate automatic Pyramid scores and uses them for optimization-based extractive multi-document summarization.

Document Summarization Multi-Document Summarization +1

A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments

1 code implementation ACL 2017 Maxime Peyrard, Judith Eckle-Kohler

We present a new framework for evaluating extractive summarizers, which is based on a principled representation as optimization problem.

Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets

no code implementations ACL 2017 Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan, Iryna Gurevych

Previous models for the assessment of commitment towards a predicate in a sentence (also known as factuality prediction) were trained and tested against a specific annotated dataset, subsequently limiting the generality of their results.

Knowledge Base Population Question Answering

Metaheuristic Approaches to Lexical Substitution and Simplification

no code implementations EACL 2017 Sallam Abualhaija, Tristan Miller, Judith Eckle-Kohler, Iryna Gurevych, Karl-Heinz Zimmermann

In this paper, we propose using metaheuristics{---}in particular, simulated annealing and the new D-Bees algorithm{---}to solve word sense disambiguation as an optimization problem within a knowledge-based lexical substitution system.

Lexical Simplification Machine Translation +4

The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach

1 code implementation COLING 2016 Markus Zopf, Maxime Peyrard, Judith Eckle-Kohler

In a detailed analysis, we show that our new corpus is significantly different from the homogeneous corpora commonly used, and that it is heterogeneous along several dimensions.

Document Summarization Multi-Document Summarization

Modeling Extractive Sentence Intersection via Subtree Entailment

no code implementations COLING 2016 Omer Levy, Ido Dagan, Gabriel Stanovsky, Judith Eckle-Kohler, Iryna Gurevych

Sentence intersection captures the semantic overlap of two texts, generalizing over paradigms such as textual entailment and semantic text similarity.

Abstractive Text Summarization Natural Language Inference

Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary

1 code implementation COLING 2016 Christian M. Meyer, Judith Eckle-Kohler, Iryna Gurevych

We introduce the task of detecting cross-lingual marketing blunders, which occur if a trade name resembles an inappropriate or negatively connotated word in a target language.

Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources

no code implementations TACL 2016 Silvana Hartmann, Judith Eckle-Kohler, Iryna Gurevych

We present a new approach for generating role-labeled training data using Linked Lexical Resources, i. e., integrated lexical resources that combine several resources (e. g., Word-Net, FrameNet, Wiktionary) by linking them on the sense or on the role level.

General Classification Machine Translation +5

Verbs Taking Clausal and Non-Finite Arguments as Signals of Modality - Revisiting the Issue of Meaning Grounded in Syntax

no code implementations11 Sep 2015 Judith Eckle-Kohler

We revisit Levin's theory about the correspondence of verb meaning and syntax and infer semantic classes from a large syntactic classification of more than 600 German verbs taking clausal and non-finite arguments.

General Classification Translation

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