Методы без учителя

The R2D2 systems for the English All-Words and Lexical Sample tasks at SENSEVAL-3 are based on several supervised and unsupervised methods com- bined by means of a voting procedure. Main …...

Word sense disambiguation is the process of determining which sense of a word is used in a given context. Due to its importance in understanding semantics of natural languages, word …...

In this paper, we explore unsupervised techniques for the task of automatic short answer grading. We compare a number of knowledge-based and corpus-based mea- sures of text similarity, evaluate the …...

Training a statistical machine translation starts with tokenizing a parallel corpus. Some languages such as Chinese do not in- corporate spacing in their writing system, which creates a challenge for …...

We present an approach to grammar induc- tion that utilizes syntactic universals to im- prove dependency parsing across a range of languages. Our method uses a single set of manually-specified …...

AbstractUnsupervised methods gain more and more attention nowadays in information extraction area, which allows to design more open extraction systems. In the domain of unsupervised information extraction, clustering methods are …...

Automatic keyphrase extraction methods have generally taken either supervised or unsupervised approaches. Supervised methods extract keyphrases by using a training document set, thus acquiring knowledge from a global collection of …...

This paper describes our system partici- pating in the aspect-based sentiment anal- ysis task of Semeval 2014. The goal was to identify the aspects of given tar- get entities and …...

Most recent unsupervised methods in vector space semantics for assessing thematic fit (e.g. Erk, 2007; Baroni and Lenci, 2010; Sayeed and Demberg, 2014) create prototypical role- fillers without performing word …...

AbstractWord embeddings have recently seen a strong increase in interest as a result of strong performance gains on a variety of tasks. However, most of this research also underlined the …...

AbstractAuthors’ keyphrases assigned to scientific articles are essential for recognizing content and topic aspects. Most of the proposed supervised and unsupervised methods for keyphrase generation are unable to produce terms …...

AbstractRecently unsupervised Bilingual Lexicon Induction(BLI) without any parallel corpus has attracted much research interest. One of the crucial parts in methods for the BLI task is the matching procedure. Previous …...

AbstractWe demonstrate a program that learns to pronounce Chinese text in Mandarin, without a pronunciation dictionary. From non-parallel streams of Chinese characters and Chinese pinyin syllables, it establishes a many-to-many …...

AbstractThis paper studies the practicality of the current state-of-the-art unsupervised methods in neural machine translation (NMT). In ten translation tasks with various data settings, we analyze the conditions under which …...

AbstractSentence simplification aims to make sentences easier to read and understand. Recent approaches have shown promising results with encoder-decoder models trained on large amounts of parallel data which often only …...

AbstractQuality estimation (QE) of machine translation (MT) aims to evaluate the quality of machine-translated sentences without references and is important in practical applications of MT. Training QE models require massive …...

AbstractRecent work on unsupervised question answering has shown that models can be trained with procedurally generated question-answer pairs and can achieve performance competitive with supervised methods. In this work, we …...

AbstractVery large language models have been shown to translate with few-shot in-context examples. However, they have not achieved state-of-art results for translating out of English. In this work, we investigate …...