Corpora

The function words of a language provide explicit information about how propositions are to be related. We have examined a subset of these function words, namely the subordinating conjunctions which …...

This paper discusses how a two-level knowledge rep- resentation model for machine translation integrates as- pectual information with lexical-semantic information by means of parameterization. The integration of aspect with lexical-semantics …...

We describe, analyze, and experimentally evaluate a new probabilistic model for word- sequence prediction in natural languages, based on prediction suffi~v trees (PSTs). By using efficient data structures, we extend …...

In this paper we provide a probabilis- tic interpretation for typed feature struc- tures very similar to those used by Pol- lard and Sag. We begin with a ver- sion …...

In this paper, we argue for the need to dis- tinguish between task and dialogue initiatives, and present a model for tracking shifts in both types of initiatives in dialogue …...

Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we argue that a tagger based on Markov models performs at least as well …...

The amount of readily available on-line text has reached hundreds of billions of words and continues to grow. Yet for most core natural language tasks, algorithms continue to be optimized, …...

This paper proposes a method to analyze Japanese anaphora, in which zero pronouns (omitted obligatory cases) are used to refer to preceding entities (antecedents). Unlike the case of general coreference …...

We profile the occurrence of clausal extraposition in corpora from different domains and demonstrate that extraposition is a pervasive phenomenon in German that must be addressed in German sentence realization. …...

This paper presents a method that measures the similarity between compound nouns in different languages to locate translation equivalents from corpora. The method uses information from un- related corpora in …...

A serious bottleneck in the development of trainable text summarization systems is the shortage of training data. Constructing such data is a very tedious task, especially because there are in …...

This paper proposes a corpora-based approach in comparing the Mapping Principles for economy metaphors in English and Chinese. The Mapping Principles are validated using an upper ontology (SUMO). This research …...

This paper focuses on the use of advanced techniques of text analysis as support for collocation extraction. A hybrid system is presented that combines statistical meth- ods and multilingual parsing …...

In this paper, we present a method for guessing POS tags of unknown words us- ing local and global information. Al- though many existing methods use only local information (i.e. …...

AbstractAutomatic sentiment analysis in texts has attracted considerable attention in recent years. Most of the approaches developed to classify texts or sentences as positive or negative rest on a very …...

Detecting conflicting statements is a foun- dational text understanding task with appli- cations in information analysis. We pro- pose an appropriate definition of contradiction for NLP tasks and develop available …...

Sets of lexical items sharing a significant aspect of their meaning (concepts) are fun- damental for linguistics and NLP. Unsuper- vised concept acquisition algorithms have been shown to produce good …...

This paper describes the design and implementation of an interface to corpora in 12 languages, stemming from the analysis of the needs of a diverse group of users: lan- guage …...

AbstractCorpora of sentences annotated with grammatical information have been deployed by extending the basic lexical and morphological data with increasingly complex information, such as phrase constituency, syntactic functions, semantic roles, …...

Early use of corpora for language learn- ing has included analysis of word usage via concordancing. In addition, some at- tempts have been made to use readabil- ity criteria for …...

AbstractSign Languages (SLs) are the visuo-gestural languages practised by the deaf communities. Research on SLs requires to build, to analyse and to use corpora. The aim of this paper is …...

In this paper we describe machine learn- ing experiments that aim to characterise the content selection process for distin- guishing descriptions. Our experiments are based on two large corpora of …...

AbstractWithout any doubt corpora are vital tools for linguistic studies and solution for applied tasks. Although corpora opportunities are very useful, there is a need of another kind of software …...

AbstractOver the years, the field of Language Resources and Technology (LRT) has developed a tremendous amount of resources and tools. However, there is no ready-to-use map that researchers could use …...

This paper describes DUALIST, an active learning annotation paradigm which solicits and learns from labels on both features (e.g., words) and instances (e.g., documents). We present a novel semi-supervised training …...

We propose a complete probabilistic discrim- inative framework for performing sentence- level discourse analysis. Our framework com- prises a discourse segmenter, based on a bi- nary classifier, and a discourse …...

In these days, semantic analysis has been ac- tively studied in natural language processing. For the study of semantic analysis, corpora with semantic annotations are essential. Al- though there are …...

This paper examines the efficacy of the appli- cation of a pre-existing technique in the area of event-event temporal relationship identifi- cation. We attempt to both reproduce the re- sults …...

AbstractThis paper presents two improvements of language models based on Restricted Boltzmann Machine (RBM) for large machine translation tasks. In contrast to other continuous space approach, RBM based models can …...

AbstractDeriving the emotion of a human speaker is a hard task, especially if only the audio stream is taken into account. While state-of-the-art approaches already provide good results, adaptive methods …...

We investigate grammatical error detec- tion in spoken language, and present a data-driven method to train a dependency parser to automatically identify and label grammatical errors. This method is ag- …...

AbstractWeb pages do not offer reliable metadata concerning their creation date and time. However, getting the document creation time is a necessary step for allowing to apply temporal normalization systems …...

AbstractThe lexicon of any natural language encodes a huge number of distinct word meanings. Just to understand this article, you will need to know what thousands of words mean. The …...

AbstractThis paper is concerned with human assessments of the severity of errors in ASR outputs. We did not design any guidelines so that each annotator involved in the study could …...

AbstractThe biomedical domain offers a wealth of linguistic resources for Natural Language Processing, including terminologies and corpora. While many of these resources are prominently available for English, other languages including …...

. Keyphrases are single or multi-word expressions that represent the main content of a document. Key- phrases are useful in many applications such as document indexing or text summarization. However, …...

Human languages exhibit a variety of strate- gies for communicating spatial information, including toponyms, spatial nominals, loca- tions that are described in relation to other lo- cations, and movements along …...

AbstractThere are as many sign languages as there are deaf communities in the world. Linguists have been collecting corpora of different sign languages and annotating them extensively in order to …...

AbstractAlthough meaning is at the core of human cognition, state-of-the-art distributional semantic models (DSMs) are often agnostic to the findings in the area of semantic cognition. In this work, we …...

AbstractIn this paper, we present an experiment to detect emotions in tweets. Unlike much previous research, we draw the important distinction between the tasks of emotion detection in a closed …...

AbstractThis paper aims to unravel the automatic quality assessment for spoken language translation (SLT). More precisely, we propose several effective estimators based on our estimation of transcription (ASR) quality, translation …...

SemEval 2016 task 11 involved determining whether words in a sentence were complex or simple for a cohort of people with English as a second language. Training data consisted of …...

AbstractWe present new language resources for Moroccan and Sanaani Yemeni Arabic. The resources include corpora for each dialect which have been morphologically annotated, and morphological analyzers for each dialect which …...

AbstractThis paper summarizes the preliminary results of an ongoing survey on multiword resources carried out within the IC1207 Cost Action PARSEME (PARSing and Multi-word Expressions). Despite the availability of language …...

AbstractDifferent linguistic perspectives causes many diverse segmentation criteria for Chinese word segmentation (CWS). Most existing methods focus on improve the performance for each single criterion. However, it is interesting to …...

AbstractSeveral approaches have been proposed to model either the explicit sequential structure of an argumentative text or its implicit hierarchical structure. So far, the adequacy of these models of overall …...

AbstractMulti-source translation systems translate from multiple languages to a single target language. By using information from these multiple sources, these systems achieve large gains in accuracy. To train these systems, …...

AbstractText might contain or invoke multiple emotions with varying intensities. As such, emotion detection, to predict multiple emotions associated with a given text, can be cast into a multi-label classification …...

AbstractPrevious research shows that eye-tracking data contains information about the lexical and syntactic properties of text, which can be used to improve natural language processing models. In this work, we …...

AbstractLanguage usage can change across periods of time, but document classifiers models are usually trained and tested on corpora spanning multiple years without considering temporal variations. This paper describes two …...

AbstractThe best solution of structured prediction models in NLP is often inaccurate because of limited expressive power of the model or to non-exact parameter estimation. One way to mitigate this …...

AbstractWork on bias in hate speech typically aims to improve classification performance while relatively overlooking the quality of the data. We examine selection bias in hate speech in a language …...

AbstractNeural text generation has made tremendous progress in various tasks. One common characteristic of most of the tasks is that the texts are not restricted to some rigid formats when …...

AbstractThe Sumerian cuneiform script was invented more than 5,000 years ago and represents one of the oldest in history. We present the first attempt to translate Sumerian texts into English …...

AbstractThis paper details experiments we performed on the Universal Dependencies 2.7 corpora in order to investigate the dominant word order in the available languages. For this purpose, we used a …...

AbstractThis paper measures the impact of increased exposure on whether learned construction grammars converge onto shared representations when trained on data from different registers. Register influences the frequency of constructions, …...

AbstractOne desiderata of topic modeling is to produce interpretable topics. Given a cluster of document-tokens comprising a topic, we can order the topic by counting each word. It is natural …...

AbstractWhile neural approaches to argument mining (AM) have advanced considerably, most of the recent work has been limited to parsing monologues. With an urgent interest in the use of conversational …...

AbstractThe European Language Grid enables researchers and practitioners to easily distribute and use NLP resources and models, such as corpora and classifiers. We describe in this paper how, during the …...

AbstractThis paper introduces a new method, SummVD, for automatic unsupervised extractive summarization. This method is based on singular value decomposition, a linear method in the number of words, in order …...

Masbatenyo (also called Masbateño or Minasbate; ISO 639-3 identifier msb) refers to the language spoken in the island province of Masbate in Bicol Region, the Philippines. This paper is drawn …...

AbstractWe present a large, multilingual study into how vision constrains linguistic choice, covering four languages and five linguistic properties, such as verb transitivity or use of numerals. We propose a …...

AbstractText anomaly detection (TAD) is a crucial task that aims to identify texts that deviate significantly from the norm within a corpus. Despite its importance in various domains, TAD remains …...

AbstractDomain robustness is a key challenge for Neural Machine Translation (NMT). Translating text from a different distribution than the training set requires the NMT models to generalize well to unseen …...

AbstractThe information bottleneck (IB) principle has been proven effective in various NLP applications. The existing work, however, only used either generative or information compression models to improve the performance of …...