Articles

The measurement of semantic relatedness between two words is an important met- ric for many natural language processing applications. In this paper, we present a novel approach for measuring semantic re- latedness that is based on a weighted se- mantic network. This approach explores the use of a lexicon, semantic …...

We present PurePos, an open-source HMM-based automatic morphological an- notation tool. PurePos can perform tag- ging and lemmatization at the same time, it is very fast to train, with the possibil- ity of easy integration of symbolic rule- based components into the annotation pro- cess that can be used to …...

Our paper is concerned with investigating the impact of translationese on the novels of a bilingual writer and asking whether one could determine the authorship of a translated document. The main part of our paper will be centered on selecting a good set of lexical features that can be con- …...

Arabic is a morphologically rich and complex language, which presents signifi- cant challenges for natural language pro- cessing and machine translation. In this paper, we describe an ongoing effort to build our first Arabic-French phrase– based machine translation system using the Moses decoder among other linguistic tools. The results show …...

Most sentiment analysis approaches rely on machine-learning techniques, using a bag-of-words (BoW) document represen- tation as their basis. In this paper, we examine whether a more fine-grained rep- resentation of documents as sequences of emotionally-annotated sentences can in- crease document classification accuracy. Experiments conducted on a sentence and document level …...

The paper presents a wordnet expan- sion algorithm, which is based on lexico- semantic relations extracted from large text corpora. We do not assume that the extracted relation instances (i.e. word pairs) are described by probabilities. Thus, results produced by any method, includ- ing pattern-based and Distributional Se- mantics approaches …...

Cloze questions are questions containing sen- tences with one or more blanks and multiple choices listed to pick an answer from. In this work, we present an automatic Cloze Ques- tion Generation (CQG) system that generates a list of important cloze questions given an En- glish article. Our system is …...

Research on statistical machine transla- tion has focused on particular translation directions, typically with English as the target language, e.g., from Arabic to En- glish. When we reverse the translation di- rection, the multiple reference translations turn into multiple possible inputs, which offers both challenges and opportunities. We propose and …...

The paper focuses on requests in written forms, where we describe a novel approach to computational modelling of specific features of politeness in speech act of requesting. We examine the similarities and differences in the use of specific social and expressive factors in two languages (mother tongue and a foreign …...

A basic task in opinion mining deals with determining the overall polarity orienta- tion of a document about some topic. This has several applications such as detecting consumer opinions in on-line product re- views or increasing the effectiveness of so- cial media marketing campaigns. How- ever, the informal features of …...

Real-word errors or context sensitive spelling errors, are misspelled words that have been wrongly converted into another word of vocabulary. One way to detect and correct real-word errors is using Statistical Machine Translation (SMT), which translates a text containing some real-word errors into a correct text of the same language. …...

Automatic recognition of CORROBO- RATE and CONTRAST relations between citations may enhance citation analysis. We describe a system that identifies these citation relations using predicate/argument and discourse structures. 1...

Wordnets are lexico-semantic resources essential in many NLP tasks. Princeton WordNet is the most widely known, and the most influential, among them. Word- nets for languages other than English tend to adopt unquestioningly WordNet’s struc- ture and its net of lexicalised concepts. We discuss a large wordnet constructed inde- pendently …...

Grammar induction is a basic step in natural language processing. Based on the volume of information that is used by different methods, we can distinguish three types of grammar in- duction method: supervised, unsupervised, and semi-supervised. Supervised and semi- supervised methods require large tree banks, which may not currently exist …...

This paper describes a computational linguis- tics-based approach for providing interopera- bility between multi-lingual systems in order to overcome crucial issues like cross-language and cross-collection retrieval. Our proposal is a system which improves capabilities of lan- guage-technology-based information extrac- tion. In the last few years various theories have been developed …...

In this paper we undertake a large cross- domain investigation of sentiment domain ad- aptation, challenging the practical necessity of sentiment domain adaptation algorithms. We first show that across a wide set of domains, a simple “all-in-one” classifier that utilizes all available training data from all but the target domain …...

For the last decade, distributional seman- tics has been an active area of research to address the problem of understanding the semantics of words in natural language. The core principal of the distributional se- mantic approach is that the linguistic con- text surrounding a given word, which is represented as …...

Many sentiment-analysis methods for the classification of reviews use training and test-data based on star ratings provided by reviewers. However, when reading re- views it appears that the reviewers’ rat- ings do not always give an accurate measure of the sentiment of the review. We performed an annotation study which …...

Translating from English, a morphologi- cally poor language, into morphologically rich languages such as Persian comes with many challenges. In this paper, we present an approach to rich morphology predic- tion using a parallel corpus. We focus on the verb conjugation as the most important and problematic phenomenon in the …...

We look into the problem of recogniz- ing citation functions in scientific liter- ature, trying to reveal authors’ rationale for citing a particular article. We intro- duce an annotation scheme to annotate ci- tation functions in scientific papers with coarse-to-fine-grained categories, where the coarse-grained annotation roughly cor- responds to citation …...