We describe a method for creating a nonEnglish subjectivity lexicon based on an English lexicon, an online translation service and a general purpose thesaurus: Wordnet. We use a PageRank-like algorithm to bootstrap from the translation of the English lexicon and rank the words in the thesaurus by polarity using the network of lexical relations in Wordnet. We apply our method to the Dutch langua...

Distinguishing between paradigmatic relations such as synonymy, antonymy and hypernymy is an important prerequisite in a range of NLP applications. In this paper, we explore discourse relations as an alternative set of features to lexico-syntactic patterns. We demonstrate that statistics over discourse relations, collected via explicit discourse markers as proxies, can be utilized as salient in...

This paper explores the application of the semantic field theory in English vocabulary learning. It first investigates classifications of various semantic relations, including hyponym, antonymy, synonymy, etc. Then it illustrates with abundant examples how to employ each sense relation in learning vocabulary with the application of the semantic field theory. The study is of non-neglectable sign...

A deep problem in cognitive science is to explain the acquisition of abstract semantic relations, such as antonymy and synonymy. Are such relations necessarily part of an innate representational endowment provided to humans? Or, is it possible for a learning system to acquire abstract relations from non-relational inputs of realistic complexity (avoiding hand-coding)? We present a series of com...

In this paper, we describe ROOT 18, a classifier using the scores of several unsupervised distributional measures as features to discriminate between semantically related and unrelated words, and then to classify the related pairs according to their semantic relation (i.e. synonymy, antonymy, hypernymy, part-whole meronymy). Our classifier participated in the CogALex-V Shared Task, showing a so...

In this work, we present a novel counter-fitting method which injects antonymy and synonymy constraints into vector space representations in order to improve the vectors’ capability for judging semantic similarity. Applying this method to publicly available pre-trained word vectors leads to a new state of the art performance on the SimLex-999 dataset. We also show how the method can be used to ...

Women contribute almost half of the total internet users in Indonesia and millennial mothers are a significant group users, especially social media. This makes mother vulnerable to crime digital space. One form is body shaming which part mom-shaming. In this study, we investigate from perspective Discourse Analysis using Halliday Hasan's classification on lexical cohesion. We focus three catego...

This final project studied the analysis of cohesion found on students’ descriptive test writing in SMP N 01 Tayu. The design research was qualitative research. objectives study were (1) To find out type competence by eight grade Tayu producing text, (2) show dominant at their text Tayu, (3) to describe text. object 1 instruments data from students discussions prior chapters are be summarized ac...