Lexical Resources

AbstractLinguistic engineering presupposes lexical resources. For translation, it is highly desirable that a Machine Translation engine and human translators should have access to the same dictionary information. The present paper …...

AbstractAn important part of the development of any machine translation system is the creation of lexical resources. We describe an analysis of the dictionary development workflow and supporting tools currently …...

Near-synonyms are words that mean ap- proximately the same thing, and which tend to be assigned to the same leaf in ontolo- gies such as WordNet. However, they can differ …...

In this paper, we experiment with the task of contextual synonym expansion, and com- pare the benefits of combining multiple lexical resources using both unsupervised and super- vised approaches. Overall, …...

AbstractMany techniques are developed to derive automatically lexical resources for opinion mining. In this paper we present a gold standard for Dutch adjectives developed for the evaluation of these techniques. …...

. Going cross-linguistic is a an important but challenging track for validating a com- putational model of lexical organization. Our starting point is a computational model that has been established …...

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 …...

AbstractExisting approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach and examines performance of one …...

AbstractIn recent years, blogs and social networks have particularly boosted interests for opinion mining research. In order to satisfy real-scale applicative needs, a main task is to create or to …...

AbstractIn this paper we discuss noun compounding, a highly generative, productive process, in three distinct languages: Czech, English and Zulu. Derivational morphology presents a large grey area between regular, compositional …...

Lexical Resources are a critical component for Natural Language Processing applications. However, the high cost of comparing and merg- ing different resources has been a bottleneck to have richer resources …...

Sanskrit, the classical language of India, presents specific challenges for computational linguistics: exact phonetic transcription in writing that obscures word boundaries, rich morphology and an enormous corpus, among others. Recent …...

In this paper, we compare three different generalization methods for in-domain and cross-domain opinion holder extraction be- ing simple unsupervised word clustering, an induction method inspired by distant supervision and …...

. Using distributional analysis methods to compute semantic proximity links between words has become commonplace in NLP. This paper focuses on the issues of evaluating a dis- tributional resource. We …...

This paper explores to what extent lemmati- sation, lexical resources, distributional seman- tics and paraphrases can increase the accuracy of supervised models for dialogue manage- ment. The results suggest that …...

. Analysing lexical complexity is a task that has mainly attracted the attention of psycholinguists and language teachers. More recently, this issue has seen a growing interest in the field …...

AbstractAt our institutes we are working with quite some dictionaries and lexical resources in the field of less-resourced language data, like dialects and historical languages. We are aiming at publishing …...

Unsupervisedly learned word vectors have proven to provide exceptionally effective features in many NLP tasks. Most common intrinsic evaluations of vector quality mea- sure correlation with similarity judgments. However, these …...

We present a data-driven technique for acquir- ing domain-level importance of verbs from the analysis of abstract/article pairs of world news articles. We show that existing lexical re- sources capture …...

AbstractIn this paper we present our work on the usage of lexical resources for the Machine Translation English and Malayalam. We describe a comparative performance between different Statistical Machine Translation …...

AbstractWe introduce a dialogue task between a virtual patient and a doctor where the dialogue system, playing the patient part in a simulated consultation, must reconcile a specialized level, to …...

AbstractIn this paper we present a rule-based method for multi-word term extraction that relies on extensive lexical resources in the form of electronic dictionaries and finite-state transducers for modelling various …...

AbstractLexical resources such as dictionaries and gazetteers are often used as auxiliary data for tasks such as part-of-speech induction and named-entity recognition. However, discriminative training with lexical features requires annotated …...

AbstractThis paper introduces a new task on Multilingual and Cross-lingual SemanticThis paper introduces a new task on Multilingual and Cross-lingual Semantic Word Similarity which measures the semantic similarity of word …...

AbstractThis paper presents a new graph-based approach that induces synsets using synonymy dictionaries and word embeddings. First, we build a weighted graph of synonyms extracted from commonly available resources, such …...

AbstractSemantic parsers critically rely on accurate and high-coverage lexicons. However, traditional semantic parsers usually utilize annotated logical forms to learn the lexicon, which often suffer from the lexicon coverage problem. …...

AbstractIn this paper we describe our participation in the Lexical Complexity Prediction (LCP) shared task of SemEval 2021, which involved predicting subjective ratings of complexity for English single words and …...

AbstractAcquisition of multilingual training data continues to be a challenge in word sense disambiguation (WSD). To address this problem, unsupervised approaches have been proposed to automatically generate sense annotations for …...

AbstractLexical substitution, which aims to generate substitutes for a target word given a context, is an important natural language processing task useful in many applications. Due to the paucity of …...