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We present a simple method for language inde- pendent and task independent text categoriza- tion learning, based on character-level n-gram language models. Our approach uses simple information theoretic principles and …...

Having seen a news title “Alba denies wedding reports”, how do we infer that it is primar- ily about Jessica Alba, rather than about wed- dings or reports? We probably …...

Detecting the semantic coherence of a doc- ument is a challenging task and has sev- eral applications such as in text segmenta- tion and categorization. This paper is an attempt …...

AbstractIn this paper, we present the design, collection, transcription and analysis of a Mandarin Chinese Broadcast Collection of over 3000 hours. The data was collected by Hong Kong University of …...

Parallel corpora have applications in many ar- eas of Natural Language Processing, but are very expensive to produce. Much information can be gained from comparable texts, and we present an …...

Microblogs are considered as We-Media infor- mation with many real-time opinions. This paper presents a Twitter-OpinMiner system for Twitter sentiment analysis evaluation at SemEval 2015. Our approach stems from two …...

AbstractWe present a topic-based analysis of agreement and disagreement in political manifestos, which relies on a new method for topic detection based on key concept clustering. Our approach outperforms both …...

AbstractWe present bot#1337: a dialog system developed for the 1st NIPS Conversational Intelligence Challenge 2017 (ConvAI). The aim of the competition was to implement a bot capable of conversing with …...

AbstractWikipedia abstract generation aims to distill a Wikipedia abstract from web sources and has met significant success by adopting multi-document summarization techniques. However, previous works generally view the abstract as …...