Сөздік N грамдар

This paper presents a corrective model for speech recognition of inflected lan- guages. The model, based on a discrim- inative framework, incorporates word n- grams features as well as factored …...

AbstractWe present experiments in automatic genre classification on web corpora, comparing a wide variety of features on several different genreannotated datasets (HGC, I-EN, KI-04, KRYS-I, MGC and SANTINIS).We investigate the …...

Text reuse is common in many scenarios and documents are often based, at least in part, on existing documents. This paper reports an ap- proach to detecting text reuse which …...

This paper describes University of Leipzig’s approach to SemEval-2013 task 2B on Sen- timent Analysis in Twitter: message polar- ity classification. Our system is designed to function as a baseline, …...

We present a new unsupervised mecha- nism, which ranks word n-grams accord- ing to their multiwordness. It heavily re- lies on a new uniqueness measure that computes, based on a …...

This paper reports the description and perfor- mance of our system, FBK-HLT, participat- ing in the SemEval 2015, Task #2 “Semantic Textual Similarity”, English subtask. We sub- mitted three runs …...

This paper describes QCRI’s participation in SemEval-2015 Task 3 “Answer Selection in Community Question Answering”, which tar- geted real-life Web forums, and was offered in both Arabic and English. We …...

AbstractEmotion prediction is a critical task in the field of Natural Language Processing (NLP). There has been a significant amount of work done in emotion prediction for resource-rich languages. There …...

AbstractThe “Detection of Propaganda Techniques in News Articles” task at the SemEval 2020 competition focuses on detecting and classifying propaganda, pervasive in news article. In this paper, we present a …...