Typically, accuracy is used to represent the performance of an NLP system. However, accuracy attainment is a function of investment in annotation. Typically, the more the amount and sophistication of annotation, higher is the accuracy. However, a moot question is is the accuracy improvement commensurate with the cost incurred in annotation? We present an economic model to assess the marginal be...

We investigate how lexicons of languages in contact are merged to generate a fused lexicon for the code-mixed variety. Using the HPSG formalism, we develop computational lexicons for Hindi and English, and explore how these can be merged to obtain a fused-lect lexicon. We consider the HindiEnglish Code Switching variety (HECS), a stable variety that has resulted from contact between these langu...

English. Herein we present a study dealing with the linking of two multilingual and multimedia resources, BabelNet and IMAGACT, which seeks to connect videos contained in the IMAGACT Ontology of Actions with related action concepts in BabelNet. The linking is based on a machine learning algorithm that exploits the lexical information of the two resources. The algorithm has been firstly trained ...

Domains are common areas of human discussion, such as economics, politics, law, science etc., which are at the basis of lexical coherence. This paper explores the dual role of domains in word sense disambiguation (WSD). On one hand, domain information provides generalized features at the paradigmatic level that are useful to discriminate among word senses. On the other hand, domain distinctions...

In this paper an open-domain factoid question answering system for Polish, RAFAEL, is presented. The system goes beyond finding an answering sentence; it also extracts a single string, corresponding to the required entity. Herein the focus is placed on different approaches to entity recognition, essential for retrieving information matching question constraints. Apart from traditional approach,...

Accessing or integrating data lexicalized in different languages is a challenge. Multilingual lexical resources play a fundamental role in reducing the language barriers to map concepts lexicalized in different languages. In this paper we present a large-scale study on the effectiveness of automatic translations to support two key cross-lingual ontology mapping tasks: the retrieval of candidate...

We describe the construction of GLASS, a newly sense-annotated version of the German lexical substitution data set used at the GERMEVAL 2015: LEXSUB shared task. Using the two annotation layers, we conduct the first known empirical study of the relationship between manually applied word senses and lexical substitutions. We find that synonymy and hypernymy/hyponymy are the only semantic relation...

This paper describes the participation of the TALN team in SemEval-2016 Task 14: Semantic Taxonomy Enrichment. The purpose of the task is to find the best point of attachment in WordNet for a set of Out of Vocabulary (OOV) terms. These may come, to name a few, from domain specific glossaries, slang or typical jargon from Internet forums and chatrooms. Our contribution takes as input an OOV term...

MirBot is a collaborative application for smartphones that allows users to perform object recognition. This app can be used to take a photograph of an object, select the region of interest and obtain the most likely class (dog, chair, etc.) by means of similarity search using features extracted from a convolutional neural network (CNN). The answers provided by the system can be validated by the...

A WordNet is a lexical database in which nouns, verbs, adjectives and adverbs are organized in a conceptual hierarchy, linking semantically and lexically related concepts. Such semantic lexicons have become one of the most valuable resources for a wide range of NLP research and applications, such as semantic tagging, automatic word-sense disambiguation, information retrieval and document summar...