Articles

Explicit Semantic Analysis (ESA) utilizes the Wikipedia knowledge base to represent the se- mantics of a word by a vector where every dimension refers to an explicitly defined con- cept like a Wikipedia article. ESA inherently assumes that Wikipedia concepts are orthog- onal to each other, therefore, it considers that …...

We propose a novel method to learn negation expressions in a specialized (medical) domain. In our corpus, negations are annotated as ‘flat’ text spans. This allows for some infelicities in the mark-up of the ground truth, making it less than perfectly aligned with the underly- ing syntactic structure. Nonetheless, the …...

The terms “belief” and “factuality” both re- fer to the intention of the writer to present the propositional content of an utterance as firmly believed by the writer, not firmly believed, or having some other status. This paper presents an ongoing annotation effort and an associated evaluation. 1...

Word Sense Disambiguation has been stuck for many years. In this paper we explore the use of large-scale crowdsourcing to cluster senses that are often confused by non-expert annotators. We show that we can increase performance at will: our in-domain experi- ment involving 45 highly polysemous nouns, verbs and adjective …...

This research describes the development of a supervised classifier of English Caused Mo- tion Constructions (CMCs) (e.g. The goalie kicked the ball into the field). Consistent iden- tification of CMCs is a necessary step to a cor- rect interpretation of semantics for sentences where the verb does not conform to …...

Implicit semantic role labeling, the task of retrieving locally unrealized arguments from wider discourse context, is a knowledge- intensive task. At the same time, the annotated corpora that exist are all small and scattered across different annotation frameworks, genres, and classes of predicates. Previous work has treated these corpora as …...

As they grow in size, OWL ontologies tend to comprise intuitively incompatible statements, even when they remain logically consistent. This is true in particular of lightweight on- tologies, especially the ones which aggregate knowledge from different sources. The article investigates how distributional semantics can help detect and repair violation of …...

A range of approaches to the representa- tion of lexical semantics have been explored within Computational Linguistics. Two of the most popular are distributional and knowledge- based models. This paper proposes hybrid models of lexical semantics that combine the advantages of these two approaches. Our mod- els provide robust representations …...

We are proposing an extension of the recur- sive neural network that makes use of a vari- ant of the long short-term memory architec- ture. The extension allows information low in parse trees to be stored in a memory reg- ister (the ‘memory cell’) and used much later higher up …...

This paper proposes neural networks for inte- grating compositional and non-compositional sentiment in the process of sentiment compo- sition, a type of semantic composition that op- timizes a sentiment objective. We enable in- dividual composition operations in a recursive process to possess the capability of choosing and merging information from …...

This paper presents a multilingual corpus of news, annotated with event metadata in- formation. The events in our corpus are from the domain of violence, natural and man made disasters. The main goal of the corpus is automatic evaluation of event de- tection and extraction systems in different languages. As …...

In this paper, we explore statistical ma- chine translation (SMT) approaches to au- tomatic text simplification (ATS) for Span- ish. First, we compare the performances of the standard phrase-based (PB) and hi- erarchical (HIERO) SMT models in this specific task. In both cases, we build two models, one using the …...

In recent years, several studies have ap- proached the Text Simplification (TS) task as a machine translation (MT) problem. They report promising results in learning how to translate from ‘original’ to ‘simpli- fied’ language using the standard phrase- based translation model. However, our results indicate that this approach works well …...

Our current work analyses relations between sentiments and activity of authors of online In- Vitro Fertilization forums. We focus on two types of active authors: those who start new discussions and those who post significantly more messages than other authors. By incor- porating authors‟ activity information into a domain-specific lexical …...

In this paper we present an approach for the enrichment of WSD knowledge bases with data-driven relations from a gold standard corpus (annotated with word senses, valency information, syntactic analyses, etc.). We focus on Bulgarian as a use case, but our approach is scalable to other languages as well. For …...

Topic segmentation traditionally relies on lexical cohesion measured through word re-occurrences to output a dense segmen- tation, either linear or hierarchical. In this paper, a novel organization of the topical structure of textual content is proposed. Rather than searching for topic shifts to yield dense segmentation, we propose an algorithm …...

This paper describes an Example-Based Ma- chine Translation prototype and presents an evaluation of the impact of using a domain- specific vocabulary on its performance. This prototype is based on a hybrid approach which needs only monolingual texts in the target lan- guage and consists to combine translation can- didates …...

This paper describes a novel approach to find evidence for implicit semantic roles. Our data-driven models generalize over large amounts of explicit annotations only, in order to acquire information about im- plicit roles. We establish a generic back- ground knowledge base of probablistic predicate-role co-occurrences in an unsu- pervised manner, …...

Developing a large vocabulary automatic speech recognition system is a very difficult task, due to the high variations in domain and acoustic variability. This task is even more difficult for the Latvian language, which is very rich morphologically and in which one word can have dozens of surface forms. Although …...

This paper presents bRol, the first fully automatic system to be developed for the parsing of syntactic and semantic de- pendencies in Basque. The parser has been built according to the settings estab- lished for the CoNLL-2009 Shared Task (Hajiˇc et al., 2009), therefore, bRol can be thought of as …...