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A semi-automatic procedure of linguistic knowledge acquisition is proposed, which combines corpus-based techniques with the conventional rule-based approach. The rule-based component generates all the pos- sible hypotheses of defects which …...

This paper proposes a new model of machine translation system in which rule-based and example-based approaches are applied for English-to-Thai sentence translation. The proposed method has 4 steps :1) analyze …...

Most machine translators are implemented using example based, rule based, and statistical approaches. However, each of these paradigms has its drawbacks. Example based and statistical based approaches are domain specific …...

AbstractDiscourse structure and coherence relations are one of the main inferential challenges addressed by computational pragmatics. The present study focuses on discourse markers as key elements in guiding the inferences …...

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 …...

AbstractThis paper presents BlogBuster, a tool for extracting a corpus from the blogosphere. The topic of cleaning arbitrary web pages with the goal of extracting a corpus from web data, …...

Written contracts are a fundamental framework for commercial and coopera- tive transactions and relationships. Lim- ited research has been published on the ap- plication of machine learning and natural language …...

AbstractIn Natural Language Processing (NLP), the quality of a system depends to a great extent on the quality of the linguistic resources it uses. One area where precise information is …...

The ALTA shared tasks are programming competitions where all participants attempt to solve the same problem, and the winner is the system with the best results. The 2011 ALTA shared …...

For the task of turning a natural language ques- tion into an explicit intermediate representa- tion of the complexity in question answering systems, all published works so far use rule- …...

AbstractThis paper describes a rule-based approach to segment Arabic texts into clauses. Our method relies on an extensive analysis of a large set of lexical cues as well as punctuation …...

Named Entity Recognition (NER) is a task which helps in finding out Persons name, Location names, Brand names, Abbreviations, Date, Time etc and classifies them into predefined different categories. NER …...

AbstractIn this paper we describe the development of a text simplification system for Spanish. Text simplification is the adaptation of a text to the special needs of certain groups of …...

UCM-2 infers the words that are affected by negations by browsing dependency syntactic structures. It first makes use of an algo- rithm that detects negation cues, like no, not or …...

Spelling error is broadly classified in two categories namely non word error and real word error. In this paper a localized real word error detection and correction method is proposed …...

This work introduces a machine learn- ing approach to the identification of men- tion heads needed for multilingual coref- erence resolution (MCR). We evaluate the method and compare it to …...

Bridging resolution plays an important role in establishing (local) entity coher- ence. This paper proposes a rule-based approach for the challenging task of unre- stricted bridging resolution, where bridg- ing …...

We present two approaches to time expres- sion identification, as entered in to SemEval- 2015 Task 6, Clinical TempEval. The first is a comprehensive rule-based approach that favoured recall, and …...

This paper describes the two systems sub- mitted by LIMSI to the WMT’15 Shared Task on Automatic Post-Editing. The first one relies on a reformulation of the APE task as …...

AbstractNatural language generation (NLG) is the task of generating natural language from a meaning representation. Current rule-based approaches require domain-specific and manually constructed linguistic resources, while most machine-learning based approaches …...

Temporal sense detection of any word is an important aspect for detecting temporality at the sentence level. In this paper, at first, we build a temporal resource based on a …...

AbstractWe present DREAM, the first dialogue-based multiple-choice reading comprehension data set. Collected from English as a Foreign Language examinations designed by human experts to evaluate the comprehension level of Chinese …...

AbstractMisinformation spreads across media, community, and knowledge graphs in the Web by not only human agents but also information extraction algorithms that extract factual statements from unstructured textual data to …...

AbstractQuotation extraction aims to extract quotations from written text. There are three components in a quotation: source refers to the holder of the quotation, cue is the trigger word(s), and …...