A large annotated corpus for learning natural language inference
Understanding entailment and contradiction is fundamental to understanding natural
language, and inference about entailment and contradiction is a valuable testing ground for …
language, and inference about entailment and contradiction is a valuable testing ground for …
[PDF][PDF] A semantic similarity approach to paraphrase detection
S Fernando, M Stevenson - … annual research colloquium of the UK …, 2008 - researchgate.net
This paper presents a novel approach to the problem of paraphrase identification. Although
paraphrases often make use of synonymous or near synonymous terms, many previous …
paraphrases often make use of synonymous or near synonymous terms, many previous …
Optimizing load balancing and data-locality with data-aware scheduling
Load balancing techniques (eg work stealing) are important to obtain the best performance
for distributed task scheduling systems that have multiple schedulers making scheduling …
for distributed task scheduling systems that have multiple schedulers making scheduling …
Learning to identify ambiguous and misleading news headlines
Accuracy is one of the basic principles of journalism. However, it is increasingly hard to
manage due to the diversity of news media. Some editors of online news tend to use catchy …
manage due to the diversity of news media. Some editors of online news tend to use catchy …
Reading and thinking: Re-read lstm unit for textual entailment recognition
Abstract Recognizing Textual Entailment (RTE) is a fundamentally important task in natural
language processing that has many applications. The recently released Stanford Natural …
language processing that has many applications. The recently released Stanford Natural …
Semantic similarity of short texts in languages with a deficient natural language processing support
Measuring the semantic similarity of short texts is a noteworthy problem since short texts are
widely used on the Internet, in the form of product descriptions or captions, image and …
widely used on the Internet, in the form of product descriptions or captions, image and …
The detection of contradictory claims in biomedical abstracts
A Alamri - 2016 - etheses.whiterose.ac.uk
Research claims in the biomedical domain are not always consistent, and may even be
contradictory. This thesis explores contradictions between research claims in order to …
contradictory. This thesis explores contradictions between research claims in order to …
Modeling natural language semantics in learned representations
SR Bowman - 2016 - search.proquest.com
The last few years have seen many striking successes from artificial neural network models
on hard natural language processing tasks. These models replace complex hand …
on hard natural language processing tasks. These models replace complex hand …
[PDF][PDF] Automatic building and using parallel resources for SMT from comparable corpora
Building parallel resources for corpus based machine translation, especially Statistical
Machine Translation (SMT), from comparable corpora has recently received wide attention …
Machine Translation (SMT), from comparable corpora has recently received wide attention …