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As part of our work on automatically build- ing knowledge structures from text, we apply machine learning to determine which clauses from multiple narratives describing similar sit- uations should be …...

In this paper we present a report of the two di- fferent runs submitted to the task 8 of Semeval 2012 for the evaluation of Cross-lingual Tex- tual Entailment in …...

This paper describes the two procedures for determining the semantic similarities between sentences submitted for the Se- mEval 2014 Task 1. MeanMaxSim, an unsupervised procedure, is proposed as a new …...

AbstractSince the advent of word embedding methods, the representation of longer pieces of texts such as sentences and paragraphs is gaining more and more interest, especially for textual similarity tasks. …...

In this paper, we describe our effort to create a new corpus for the evaluation of detecting and linking so-called survey variables in social science publications (e.g., ”Do you believe …...

AbstractWord embedding models are now widely used in most NLP applications. Despite their effectiveness, there is no clear evidence about the choice of the most appropriate model. It often depends …...

AbstractThe recent proliferation of ”fake news” has triggered a number of responses, most notably the emergence of several manual fact-checking initiatives. As a result and over time, a large number …...

AbstractContextual embeddings derived from transformer-based neural language models have shown state-of-the-art performance for various tasks such as question answering, sentiment analysis, and textual similarity in recent years. Extensive work shows …...

AbstractAdversarial examples expose the vulnerabilities of natural language processing (NLP) models, and can be used to evaluate and improve their robustness. Existing techniques of generating such examples are typically driven …...

AbstractWhile there is increasing concern about the interpretability of neural models, the evaluation of interpretability remains an open problem, due to the lack of proper evaluation datasets and metrics. In …...