Hybrid Approach

In BBN's natural language understanding and generation system (Janus), we have used a hybrid approach to representation, employing an intensional logic for the representation of the semantics of ut- terances …...

Information retrieval is an important ap- plication area of natural-language pro- cessing where one encounters the gen- uine challenge of processing large quanti- ties of unrestricted natural-language text. This paper …...

The previous English-Korean MT system that was the transfer-based MT system and applied to only written text enumerated a following brief list of the problems that had not seemed to …...

This paper presents an implemented hy- brid approach to grammar and style checking, combining an industrial pattern- based grammar and style checker with bi- directional, large-scale HPSG grammars for German …...

This paper is a case study of the deployment of new MT technology aiming at improving the overall Post-Editing (PE) experience. One of the main challenges in having MT output …...

AbstractThis paper describes the development of a hybrid tool for a semi-automated process for validation of treebank annotation at various levels. The tool is developed for error detection at the …...

Information retrieval (IR) and figurative language processing (FLP) could scarcely be more different in their treatment of lan- guage and meaning. IR views language as an open-ended set of mostly …...

The measurement of phrasal semantic relat- edness is an important metric for many nat- ural language processing applications. In this paper, we present three approaches for mea- suring phrasal semantics, …...

We examine the task of temporal relation clas- sification. Unlike existing approaches to this task, we (1) classify an event-event or event- time pair as one of the 14 temporal …...

We present PurePos, an open-source HMM-based automatic morphological an- notation tool. PurePos can perform tag- ging and lemmatization at the same time, it is very fast to train, with the …...

The current paper proposes a novel approach to Spanish zero pronoun resolution in the context of Spanish to Korean Machine Translation (MT). Spanish is one of the well-known 'pro-drop' languages …...

This paper describes an Example-Based Ma- chine Translation prototype and presents an evaluation of the impact of using a domain- specific vocabulary on its performance. This prototype is based on …...

This paper describes the iLab-Edinburgh Sen- timent Analysis system, winner of the Ara- bic Twitter Task 7 in SemEval-2016. The system employs a hybrid approach of super- vised learning and …...

Specific-domain bilingual lexicons play an important role for domain adaptation in machine translation. The entries of these types of lexicons are mostly composed of MultiWord Expressions (MWEs). The manual construction …...

AbstractHypernymy modeling has largely been separated according to two paradigms, pattern-based methods and distributional methods. However, recent works utilizing a mix of these strategies have yielded state-of-the-art results. This paper …...

AbstractWhile Yu and Poesio (2020) have recently demonstrated the superiority of their neural multi-task learning (MTL) model to rule-based approaches for bridging anaphora resolution, there is little understanding of (1) …...

AbstractWe propose a novel hybrid approach to lemmatization that enhances the seq2seq neural model with additional lemmas extracted from an external lexicon or a rule-based system. During training, the enhanced …...

AbstractTo date, most of recent work under the retrieval-reader framework for open-domain QA focuses on either extractive or generative reader exclusively. In this paper, we study a hybrid approach for …...

AbstractWe consider the problem of generating natural language given a communicative goal and a world description. We ask the question: is it possible to combine complementary meaning representations to scale …...