Articles

In recent years, theoretical and computa- tional linguistics has paid much attention to linguistic items that form scales. In NLP, much research has focused on order- ing adjectives by intensity (tiny < small). Here, we address the task of automatically ordering English adverbs by their intensi- fying or diminishing effect …...

Similarity between natural language texts, sentences in terms of meaning, known as tex- tual entailment, is a generic problem in the area of computational linguistics. In the last few years researchers worked on various as- pects of textual entailment problem, but mostly restricted to English language. Here in this paper …...

It is generally acknowledged that colloca- tions in the sense of idiosyncratic word co- occurrences are a challenge in the context of second language learning. Advanced miscollocation correction is thus highly desirable. However, state-of-the-art “col- location checkers” are merely able to de- tect a possible miscollocation and then of- fer …...

This study is about the development of a learner-focused text readability indexing tool for second language learners (L2) of English. Student essays are used to cali- brate the system, making it capable of pro- viding realistic approximation of L2s’ ac- tual reading ability spectrum. The system aims to promote self-directed …...

The paper focuses on selecting an optimal set of the Multiword Expressions Extrac- tion methods used as a tool during word- net expansion. Wordnet multiword lexi- cal units are a broad class and it is dif- ficult to find a single extraction method fulfilling the task. Many extraction as- sociation …...

We describe an algorithm for automatic classification of idiomatic and literal ex- pressions. Our starting point is that idioms and literal expressions occur in different contexts. Idioms tend to violate cohesive ties in local contexts, while literals are ex- pected to fit in. Our goal is to capture this intuition …...

Attribute information in a natural language query is one of the key features for con- verting a natural language query into a Structured Query Language1 (SQL) in Nat- ural Language Interface to Database sys- tems. In this paper, we explore the task of classifying the attributes present in a natural …...

We report on interoperability of different sentiment lexica with each other and with the linguistic notions negation and modal- ity for sentiment analysis of tweets in a comprehensive ablation study and in com- petition results for SemEval 2015. Our ap- proach performed well at the tweet level, but excelled in …...

Wordnet is a standard semantic resource for several Natural Language Processing tasks and it is available for an increas- ing number of languages. The Croatian Wordnet (CroWN) was a relatively small resource with 10.026 synsets and 31.367 synset-variant pairs covering only 45.91% of the so-called Core WordNet. Com- paring these …...

Distributed representations of words have boosted the performance of many Natu- ral Language Processing tasks. However, usually only one representation per word is obtained, not acknowledging the fact that some words have multiple meanings. This has a negative effect on the individ- ual word representations and the language model as …...

This paper describes the importance of in- troducing a phrase-based language model in the process of machine translation. In fact, nowadays SMT are based on phrases for translation but their language models are based on classical ngrams. In this pa- per we introduce a phrase-based language model (PBLM) in the …...

News reports, social media streams, blogs, digitized archives and books are part of a plethora of reading sources that people face every day. This raises the question of how to best generate automatic sum- maries. Many existing methods for ex- tracting summaries rely on comparing the similarity of two sentences …...

Recently, Web forums have been invaded by opinion manipulation trolls. Some trolls try to influence the other users driven by their own convictions, while in other cases they can be organized and paid, e.g., by a political party or a PR agency that gives them specific instructions what to write. …...

Some languages do not have enough la- beled data to obtain good discourse pars- ing, specially in the relation identification step, and the additional use of unlabeled data is a plausible solution. A workflow is presented that uses a semi-supervised learning approach. Instead of only a pre- defined additional set …...

The manual identification of terminology from specialized corpora is a complex task that needs to be addressed by flexible tools, in order to facilitate the construction of multilingual terminologies which are the main resources for computer-assisted translation tools, machine translation or ontologies. The automatic terminology extraction tools developed so far …...

The extraction of domain terminology is a task that is increasingly used for different ap- plication processes of natural language such as the information recovery, the creation of spe- cialized corpus, question-answering systems, the creation of ontologies and the automatic classification of documents. This task of the extraction of domain …...

We present a study of Native Language Identification (NLI) using data from learn- ers of Norwegian, a language not yet used for this task. NLI is the task of predicting a writer’s first language using only their writings in a learned language. We find that three feature types, function words, …...

While there is a strong intuition that word alignments (e.g. synonymy, hyperonymy) play a relevant role in recognizing text- to-text semantic inferences (e.g. textual entailment, semantic similarity), this in- tuition is often not reflected in the sys- tem performances and there is a general need of a deeper comprehension of …...

We present a work to evaluate the hy- pothesis that automatic evaluation metrics developed for Machine Translation (MT) systems have significant impact on pre- dicting semantic similarity scores in Se- mantic Textual Similarity (STS) task for English, in light of their usage for para- phrase identification. We show that differ- …...

In this paper we describe a semi-automated approach to extend morphological lexicons by defining the prediction of the correct inflectional paradigm and the lemma for an unknown word as a supervised ranking task trained on an already existing lexicon. While most ranking approaches rely only on heuristics based on a …...