Articles

This paper discusses the so-called raising to object (RTO), which provides interesting problems with respect to the syntactic/seman- tic status of an accusative-marked NP. We ar- gue that two types of matrix verb, control and raising, must be recognized in the construc- tion. The linearization approach can capture the possibility …...

Two of the main problems in creating an Indonesian parser with high accuracy are the lack of sentence diversity in treebank used for training and suboptimal uses of parsing techniques. To resolve these problems, we build an Indonesian dependency treebank of 2098 sentences (simple and complex sentences) and use ensemble …...

This article defends an “incremental grammar” view, where syntactic puzzles are accounted for in terms of how a sentence is parsed online. To this end, we focus on the Multiple Nominative Construction (MNC) in Japanese, offering new data involving “rightward displacements.” The displacement patterns of nominative NPs are shown to …...

In this paper, we present a novel statistical machine translation method which employs a BTG-based reordering model during decod- ing. BTG-based reordering models for pre- ordering have been widely explored, aiming to improve the standard phrase-based statisti- cal machine translation system. Less attention has been paid to incorporating such a …...

: We propose a new approach to stylometric analysis combining lexical and textual information, but without annotation or other pre-processing. In particular, our study makes use Chinese tones motifs and word length motifs automatically extracted from unannotated texts. The proposed approach is based on linked data in nature as tone …...

This study aims at investigating the lexical items in Aviation Phraseology that has both standard and nonstandard meanings when Pilot and Air Traffic Controller (ATC) use them in radiotelephony. A collection of Cockpit Voice Recorder or Quick Access Recorder transcripts with 26,421 words from the Civil Aviation Authority of the …...

Potential constructions have long attracted much attention in Japanese Linguistics, mainly focusing on the case alternation of object NPs. I will point out some important characteristics of the constructions they have missed and propose a completely new analysis from a view point of logical grammar. First, we show significant differences …...

The study determines the most common forms of phrasal-prepositional verbs (PPVs) in Philippine English using the ICE-PHI and describes their syntactic and semantic features, following Quirk et al.’s (1985) framework. Thirty nine out of the forty-eight words from the list of Quirk et al. (1985) and Biber et al. (1999) …...

This paper presents a contrastive analysis be- tween the reading time and information struc- ture in Japanese. We overlaid the reading time annotation BCCWJ-EyeTrack and an infor- mation structure annotation on the Balanced Corpus of Contemporary Written Japanese. Statistical analysis based on a mixed linear model showed that the “specificity,” …...

This paper provides a discourse-based account of polar questions and answering particles. Arguing against syntax-based ellipsis analy- ses, the paper suggests that polarity particles are anaphoric in nature and their interpretation is determined by the antecedent evoked by the context. It also suggests that the parametric differences between the polarity-based …...

AbstractWe propose a neural reranking system for named entity recognition (NER), leverages recurrent neural network models to learn sentence-level patterns that involve named entity mentions. In particular, given an output sentence produced by a baseline NER model, we replace all entity mentions, such as Barack Obama, into their entity types, …...

AbstractIn this article we present a system that extracts information from pathology reports. The reports are written in Norwegian and contain free text describing prostate biopsies. Currently, these reports are manually coded for research and statistical purposes by trained experts at the Cancer Registry of Norway where the coders extract …...

AbstractThis study presents SMILLE, a system that draws on the Noticing Hypothesis and on input enhancements, addressing the lack of salience of grammatical infor mation in online documents chosen by a given user. By means of input enhancements, the system can draw the user’s attention to grammar, which could possibly …...

AbstractDifferent approaches for behaviour understanding rely on textual instructions to generate models of human behaviour. These approaches usually use state of the art parsers to obtain the part of speech (POS) meaning and dependencies of the words in the instructions. For them it is essential that the parser is able …...

AbstractRecent attempts at behaviour understanding through language grounding have shown that it is possible to automatically generate models for planning problems from textual instructions. One drawback of these approaches is that they either do not make use of the semantic structure behind the model elements identified in the text, or …...

AbstractCapabilities of detecting temporal and causal relations between two events can benefit many applications. Most of existing temporal relation classifiers were trained in a supervised manner. Instead, we explore the observation that regular event pairs show a consistent temporal relation despite of their various contexts and these rich contexts can …...

AbstractComplex Word Identification (CWI) is an important task in lexical simplification and text accessibility. Due to the lack of CWI datasets, previous works largely depend on Simple English Wikipedia and edit histories for obtaining ‘gold standard’ annotations, which are of doubtable quality, and limited only to English. We collect complex …...

AbstractThe lack of large realistic datasets presents a bottleneck in online deception detection studies. In this paper, we apply a data collection method based on social network analysis to quickly identify high quality deceptive and truthful online reviews1 from Amazon. The dataset contains more than 10,000 deceptive reviews and is …...

AbstractHierarchical attention networks have recently achieved remarkable performance for document classification in a given language. However, when multilingual document collections are considered, training such models separately for each language entails linear parameter growth and lack of cross-language transfer. Learning a single multilingual model with fewer parameters is therefore a challenging …...

AbstractWe propose to unify a variety of existing semantic classification tasks, such as semantic role labeling, anaphora resolution, and paraphrase detection, under the heading of Recognizing Textual Entailment (RTE). We present a general strategy to automatically generate one or more sentential hypotheses based on an input sentence and pre-existing manual …...