Лексическая замена

Th=s report describes Paul, a computer text generation system desig~ed LO create cohesive text through the use o| lexlcal substitutions. Specihcally, Ihas system is designed Io determmistically choose between provluminahzat0on, …...

We present some preliminary results of a Czech-English translation system based on dependency trees. The fully auto- mated process includes: morphological tagging, analytical and tectogrammat- ical parsing of Czech, tectogrammati- …...

This paper investigates an isolated setting of the lexical substitution task of replac- ing words with their synonyms. In par- ticular, we examine this problem in the setting of subtitle …...

This paper describes the University of Syd- ney’s WSD and Lexical Substitution sys- tems for SemEval-2007. These systems are principally based on evaluating the substi- tutability of potential synonyms in …...

AbstractLexical substitution is the task of finding a replacement for a target word in a sentence so as to preserve, as closely as possible, the meaning of the original sentence. …...

The computation of meaning similarity as operationalized by vector-based models has found widespread use in many tasks ranging from the acquisition of synonyms and para- phrases to word sense disambiguation …...

AbstractThis paper presents the Turk Bootstrap Word Sense Inventory (TWSI) 2.0. This lexical resource, created by a crowdsourcing process using Amazon Mechanical Turk (http://www.mturk.com), encompasses a sense inventory for lexical …...

We present the UKP system which performed best in the Semantic Textual Similarity (STS) task at SemEval-2012 in two out of three met- rics. It uses a simple log-linear regression …...

Context representations are central to vari- ous NLP tasks, such as word sense disam- biguation, named entity recognition, co- reference resolution, and many more. In this work we present a …...

We propose a framework for lexical sub- stitution that is able to perform transfer learning across languages. Datasets for this task are available in at least three languages (English, Italian, …...

AbstractIn this paper, we propose using metaheuristics—in particular, simulated annealing and the new D-Bees algorithm—to solve word sense disambiguation as an optimization problem within a knowledge-based lexical substitution system. We …...

We present a new evaluation scheme for the lexical substitution task. Following (McCarthy and Navigli, 2007) we conducted an annotation task for French that mixes two datasets: in the first …...

We attempted to generate a sentence by using the concept of core vocabulary whilst preserv- ing the original meaning of the sentence in the text simplification subtask. The correlation between …...

AbstractPrevious studies on lexical substitution tend to obtain substitute candidates by finding the target word’s synonyms from lexical resources (e.g., WordNet) and then rank the candidates based on its contexts. …...

AbstractLexical substitution, i.e. generation of plausible words that can replace a particular target word in a given context, is an extremely powerful technology that can be used as a backbone …...

AbstractThis paper describes a writing assistance system that helps students improve their academic writing. Given an input text, the system suggests lexical substitutions that aim to incorporate more academic vocabulary. …...

AbstractWe release a new benchmark for lexical substitution, the task of finding appropriate substitutes for a target word in a context. For writing, lexical substitution systems can assist humans by …...

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 …...

AbstractLexical substitution is the task of generating meaningful substitutes for a word in a given textual context. Contextual word embedding models have achieved state-of-the-art results in the lexical substitution task …...

AbstractWe propose a new unsupervised method for lexical substitution using pre-trained language models. Compared to previous approaches that use the generative capability of language models to predict substitutes, our method …...

AbstractLexical substitution (LS) aims at finding appropriate substitutes for a target word in a sentence. Recently, LS methods based on pretrained language models have made remarkable progress, generating potential substitutes …...