Work

The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity

Year: 2014

Type: conference-paper

Abstract: Shared Task 1 of SemEval-2014 comprised two subtasks on the same dataset of sentence pairs: recognizing textual entailment and determining textual similarity.We used an existing system based on formal semantics and logical inference to participate in the first subtask, reaching an accuracy of 82%, ranking in the top 5 of more than twenty participating systems.For determining semantic similarity we took a supervised approach using a variety of features, the majority of which was produced by our system for recognizing textual entailment.In this subtask our system achieved a mean squared error of 0.322, the best of all participating systems.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.3115/v1/s14-2114

Authors: Johannes Bjerva, Johan Bos, Rob van der Goot, Malvina Nissim

Institutions: University of Groningen, University of Bologna

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2155484602

FWCI: 7.115

Cites: 19

Cited by: 85

Related to: 10