SupervisedMethods

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 …...

This paper explores the large-scale acquisition of sense-tagged examples for Word Sense Disam- biguation (WSD). We have applied the “WordNet monosemous relatives” method to construct auto- matically a web corpus …...

AbstractLexical resources are basic components of many text processing system devoted to information extraction, question answering or dialogue. In paste years many resources have been developed such as FrameNet and …...

. Twitter is a widespread social media, which rapidly gained worldwide popularity. Pursuing on the problem of finding related tweets to a given organization, we propose supervised and semi-supervised based …...

Relation Extraction (RE) is the task of extracting semantic relationships between entities in text. Recent studies on rela- tion extraction are mostly supervised. The clear drawback of supervised methods is …...

Bibliometric measures are commonly used to estimate the popularity and the impact of pub- lished research. Existing bibliometric mea- sures provide “quantitative” indicators of how good a published paper is. …...

Most word representation methods assume that each word owns a single semantic vec- tor. This is usually problematic because lexical ambiguity is ubiquitous, which is also the problem to be …...

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 …...

The paper describes our experiments ad- dressing the SemEval 2014 task on the Analysis of Clinical text. Our approach consists in extending the techniques of NE recognition, based on sequence …...

AbstractSupervised methods can achieve high performance on NLP tasks, such as Named Entity Recognition (NER), but new annotations are required for every new domain and/or genre change. This has motivated …...

AbstractRecently emerged intelligent assistants on smartphones and home electronics (e.g., Siri and Alexa) can be seen as novel hybrids of domain-specific task-oriented spoken dialogue systems and open-domain non-task-oriented ones. To …...

AbstractThe fundamental role of hypernymy in NLP has motivated the development of many methods for the automatic identification of this relation, most of which rely on word distribution. We investigate …...

AbstractWord Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, …...

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 …...

AbstractThe task of unsupervised bilingual lexicon induction (UBLI) aims to induce word translations from monolingual corpora in two languages. Previous work has shown that morphological variation is an intractable challenge …...

AbstractThe aim of all Question Answering (QA) systems is to generalize to unseen questions. Current supervised methods are reliant on expensive data annotation. Moreover, such annotations can introduce unintended annotator …...

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 …...

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 …...

AbstractThe application of supervised methods to automatic summarization requires the availability of adequate corpora consisting of a set of document-summary pairs. As in most Natural Language Processing tasks, the great …...