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Found 23 papers, 5 papers with code
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets
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.
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments
We present a new framework for evaluating extractive summarizers, which is based on a principled representation as optimization problem.
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization
We present a new supervised framework that learns to estimate automatic Pyramid scores and uses them for optimization-based extractive multi-document summarization.
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test
The Story Cloze test is a recent effort in providing a common test scenario for text understanding systems.
Metaheuristic Approaches to Lexical Substitution and Simplification
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.
Modeling Extractive Sentence Intersection via Subtree Entailment
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
+2
Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary
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.
The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach
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.
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence
Extracting summaries via integer linear programming and submodularity are popular and successful techniques in extractive multi-document summarization.
Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations
We present a new large dataset of 12403 context-sensitive verb relations manually annotated via crowdsourcing.
Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources
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.
Verbs Taking Clausal and Non-Finite Arguments as Signals of Modality - Revisiting the Issue of Meaning Grounded in Syntax
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.
Lexical Substitution Dataset for German
This article describes a lexical substitution dataset for German.
The Open Linguistics Working Group
This paper describes the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation (OKFN).
UBY-LMF -- A Uniform Model for Standardizing Heterogeneous Lexical-Semantic Resources in ISO-LMF
We present UBY-LMF, an LMF-based model for large-scale, heterogeneous multilingual lexical-semantic resources (LSRs).
