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Speech research has made tremendous progress in the past using the following paradigm: • define the research problem, • collect a corpus to objectively measure progress, and • solve the …...

The real difficulty in development of practical NLP systems comes from the fact that we do not have effective means for gathering "knowl- edge". In this paper, we propose an …...

Certain spans of utterances in a discourse, referred to here as segments, are widely assumedto form coherent units. Further, the segmental structure of discourse has been claimed to constrain and …...

This paper presents a grammar formalism de- signed for use in data-oriented approaches to lan- guage processing. It goes on to investigate ways in which a corpus pre-parsed with this …...

This paper presents an algorithm for learn- ing the probabilities of optional phonolog- ical rules from corpora. The algorithm is based on using a speech recognition sys- tem to discover …...

This paper presents a statistical model which trains from a corpus annotated with Part-Of- Speech tags and assigns them to previously unseen text with state-of-the-art accuracy(96.6%). The model can be …...

We describe an implemented system for robust domain-independent syntactic parsing of English, using a unification-based grammar of part-of- speech and punctuation labels coupled with a probabilistic LR parser. We present …...

This paper . proposes a similarity measure which takes account of point- of-views (abbreviated to POV, hereafter) in the calculation of similarity values. So far many researches on similarity measures …...

This paper presents a method to automatically find meanings which should be but are not entered in thesaurus. In this paper, we use Bunrui-goi-hyou as the thesaurus. To find the …...

We present a trainable model for identify- ing sentence boundaries in raw text. Given a corpus annotated with sentence bound- aries, our model learns to classify each oc- currence of., …...

We present a connectionist architecture and demon- strate that it can learn syntactic parsing from a cor- pus of parsed text. The architecture can represent syntactic constituents, and can learn …...

This paper describes a domain independent, automat- ically trained call router which directs customer calls based on their response to an open-ended "How may ldi- rect your call?" query. Routing …...

We present an approach to anaphora resolution based on a focusing algorithm, and implemented within an existing MUC (Message Understand- ing Conference) Information Extraction system, allowing quantitative evaluation against a …...

This paper presents a technique to deal with multiword nominal terminology in a compu- tational Lexical Functional Grammar. This method treats multiword terms as single to- kens by modifying the …...

This paper presents a technique to deal with multiword nominal terminology in a compu- tational Lexical Functional Grammar. This method treats multiword terms as single to- kens by modifying the …...

In this paper we propose using the distributional differences in the syntactic patterns of near-synonyms to deduce the relevant components of verb meaning. Our method involves determining the distributional differences …...

Accurate nominal compound analysis is cru- cial for in application of natural language pro- cessing such as information retrieval and ex- traction as well as nominal compound inter- pretation. I,n …...

This paper describes initial work on Deep Read, an automated reading comprehension system that accepts arbitrary text input (a story) and answers questions about it. We have acquired a corpus …...

The paper presents an entropy-based approach to segment a corpus into words, when no additional information about the corpus or the language, and no other resources such as a lexicon …...

Compound noun analysis is one of the crucial prob- lems in Korean language processing because a series of nouns in Korean may appear without white space in real texts, which …...

The purpose of this work is to investigate the process of grammatical acquisition from data. We are using a computational learning sys- tern that is composed of a Universal Grammar …...

In this paper, we propose a method of generating a proper categorization of morphemes by giving a hierarchical part-of-speech system and a corpus tagged using this part-of- speech system. Our …...

Zipf’s law states that the frequency of word tokens in a large corpus of natural language is inversely proportional to the rank. The law is investigated for two languages English …...

We present in this paper a method for achiev- ing in an integrated way two tasks of topic analysis: segmentation and link detection. This method combines word repetition and the …...

We describe experiments with a Naive Bayes text classifier in the context of anti- spam E-mail filtering, using two different statistical event models: a mul- ti-variate Bernoulli model and a …...

The discovery of semantic relations from text becomes increasingly important for applica- tions such as Question Answering, Informa- tion Extraction, Text Summarization, Text Un- derstanding, and others. The semantic rela- …...

Today, corpus plays an important role in development and evaluation language and speech technologies, such as part of speech tagging, parsing, word sense disambiguation, text categorization, named entity classification, information …...

In this paper, we present a corpus-based super- vised word sense disambiguation (WSD) sys- tem for Dutch which combines statistical classi- fication (maximum entropy) with linguistic in- formation. Instead of …...

One of the first steps towards understanding natural multimodal language is aligning ges- ture and speech, so that the appropriate ges- tures ground referential pronouns in the speech. This paper …...

This system is an experiment of examples based approach. It is based on a corpus containing 220 thousand sentence pairs with word alignment. The system contains four parts: matching and …...

Automatic word segmentation is a basic re- quirement for unsupervised learning in morpho- logical analysis. In this paper, we formulate a novel recursive method for minimum descrip- tion length (MDL) …...

The evaluative character of a word is called its semantic orientation (SO). A positive SO indicates desirability (e.g. Good, Honest) and a negative SO indicates undesirability (e.g., Bad, Ugly). This …...

In this paper we describe the (annotation) tools underly- ing two automatic techniques to analyse the meaning and use of backward causal connectives in large Dutch newspaper corpora. With the …...

In order to achieve fast, high quality Part-of-speech (pos) tagging, algorithms should achieve high accuracy and require less manually proofreading. This study aimed to achieve these goals by defining a …...

We investigate unsupervised techniques for acquiring monolingual sentence-level paraphrases from a corpus of temporally and topically clustered news articles collected from thousands of web-based news sources. Two techniques are employed: …...

This paper describes the National Research Coun- cil (NRC) Word Sense Disambiguation (WSD) sys- tem, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system approach- …...

. Temporal information is useful in many NLP applications, such as information extraction, question answering and summarization. In this paper, we present a temporal parser for extracting and normalizing temporal …...

. This paper proposes a method for detecting errors concern- ing article usage and singular/plural usage based on the mass count distinction. Although the mass count distinction is particularly impor- …...

In this paper, we present an automated, quantitative, knowledge-poor method to evaluate the randomness of a collection of documents (corpus), with respect to a number of biased partitions. The method …...

We describe an implementation of data- driven selection of emphatic facial dis- plays for an embodied conversational agent in a dialogue system. A corpus of sentences in the domain of …...

AbstractBasque is both a minority and a highly inflected language with free order of sentence constituents. Machine Translation of Basque is thus both a real need and a test bed …...

Distributional approaches to grammar in- duction are typically inefficient, enumer- ating large numbers of candidate con- stituents. In this paper, we describe a simplified model of distributional analy- sis which …...

We present a web service to aid translators by quickly producing corpora for specialist areas, in any of a range of languages, from the web. The underlying BootCaT tools have …...

We investigate the appropriateness of us- ing a technique based on support vector machines for identifying thematic struc- ture of text streams. The thematic seg- mentation task is modeled as …...

Most studies in statistical or machine learning based authorship attribution focus on two or a few authors. This leads to an overestimation of the importance of the features extracted from …...

The limitations of existing data sets for train- ing parsers has led to a need for additional data. However, the cost of manually annotat- ing the amount and range of …...

In this paper, we describe a system by which the multilingual characteristics of Wikipedia can be utilized to annotate a large corpus of text with Named Entity Recognition (NER) tags …...

In this paper we generalise the sen- tence compression task. Rather than sim- ply shorten a sentence by deleting words or constituents, as in previous work, we rewrite it using …...

Our goal is to use natural language proc- essing to identify deceptive and non- deceptive passages in transcribed narra- tives. We begin by motivating an analy- sis of language-based deception …...

The paper presents Treelex, a valence lexicon of French adjectives automatically extracted from a treebank. The corpus contains morphological and syntactic annotations but no subcategorisa- tion information is present for …...

AbstractWe describe a corpus of numerical expressions, developed as part of the NUMGEN project. The corpus contains newspaper articles and scientific papers in which exactly the same numerical facts are …...

. Pronominal orientation is widely argued to be universal component of human languages. Meanwhile, the pronominal system of Philippine languages (henceforth, PL) has always been an obscure subject of investigation. …...

. We present in this paper a method to automatically acquire a syntactic lexicon of subcategorization frames for French verbs directly from large corpora. The method is evaluated against existing …...

: The aim of this study is to build natural language resources for languages with limited resources or minority languages. Manually building these resources is tedious and costly. These natural …...

AbstractThe meanings of words are not fixed but in fact undergo change, with new word senses arising and established senses taking on new aspects of meaning or falling out of …...

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, …...

AbstractWe present in this paper an on-going research: the construction and annotation of a Romanian Generative Lexicon (RoGL). Our system follows the specifications of CLIPS project for Italian language. It …...

AbstractThis paper proposes the method to detect peculiar examples of the target word from a corpus. In this paper we regard following examples as peculiar examples: (1) a meaning of …...

Plagiarism is the use of the language and thoughts of another work and the repre- sentation of them as one's own original work. Various levels of plagiarism exist in many …...

. Recent considerations in opinion mining, oriented by real applicative tasks, require creating lexical and semantic resources quantitatively and qualitatively rich. In this context, we present a method to automatically …...

AbstractResource-poor languages may suffer from a lack of any of the basic resources that are fundamental to computational linguistics, including an adequate digital lexicon. Given the relatively small corpus of …...

AbstractThis paper presents FOLKER, an annotation tool developed for the efficient transcription of natural, multi-party interaction in a conversation analysis framework. FOLKER is being developed at the Institute for German …...

AbstractThis paper reports on the annotation of a corpus of 1 million words with four semantic annotation layers, including named entities, co- reference relations, semantic roles and spatial and temporal …...

Although much work in NLP has focused on simply determining what a document means, we also must know whether or not to believe it. Fact-finding algorithms at- tempt to identify …...

AbstractThis paper presents a corpus of human answers in natural language collected in order to build a base of examples useful when generating natural language answers. We present the corpus …...

AbstractIn this paper we discuss the methodology behind the construction of elicited imitation (EI) test items. First we examine varying uses for EI tests in research and in testing overall …...

AbstractIn the QA and information retrieval domains progress has been assessed via evaluation campaigns(Clef, Ntcir, Equer, Trec).In these evaluations, the systems handle independent questions and should provide one answer to …...

AbstractThe definition of lexical semantic similarity measures has been the subject of lots of works for many years. In this article, we focus more specifically on distributional semantic similarity measures. …...

AbstractThis paper describes an annotation scheme for argumentation in opinionated texts such as newspaper editorials, developed from a corpus of approximately 500 English texts from Nepali and international newspaper sources. …...

AbstractLanguage resources, including corpus and tools, are normally required to be combined in order to achieve a user’s specific task. However, resources tend to be developed independently in different, incompatible …...

Real document collections do not fit the inde- pendence assumptions asserted by most statis- tical topic models, but how badly do they vi- olate them? We present a Bayesian method …...

In this paper we introduce some of the key NLP-related problems related to the practice of Evidence Based Medicine and propose the task of multi-document query-focused sum- marisation as a …...

Multiword expressions (MWEs) and named entities (NEs) exhibit unique and idiosyncratic features, thus, they often pose a problem to NLP systems. In order to facilitate their identification we developed the …...

AbstractIn this paper we present a corpus of audio and video recordings of spontaneous, face-to-face multi-party conversation in two languages. Freely available high quality recordings of mundane, non-institutional, multi-party talk …...

Started from the very beginning, Stemming has been playing significant roles in several Natural Language Processing Applications such as information retrieval (IR), machine translation (MT), morph analysis and deciding the …...

Error region detection and characterization in transcriptions of multimedia documents : application to person name search In this article, we propose to detect and characterize error regions in automatic transcriptions …...

Assessment of the acoustic models performance in the ageing voice case for ASR system adaptation Our study concerns the integration of an automatic speech recognition system in a social inclusion …...

This paper describes a study on the impact of the original signal (text, speech, visual scene, event) of a text pair on the task of both man- ual and automatic …...

AbstractWe present work in progress aiming to build tools for the normalization of User-Generated Content (UGC). As we will see, the task requires the revisiting of the initial steps of …...

AbstractThis paper describes the creation process of an Indonesian-English parallel corpus (IDENTIC). The corpus contains 45,000 sentences collected from different sources in different genres. Several manual text preprocessing tasks, such …...

A problem that crops up repeatedly in shallow and deep syntactic parsing approaches to South Asian languages like Urdu/Hindi is the proper treatment of complex predications. Problems for the NLP …...

AbstractIn the context of forensic phonetics the transcription of intercepted signals is particularly important. However, these signals are often degraded and the transcript may not reflect what was actually pronounced. …...

AbstractIn this paper we investigated differences in language use of speakers yielding different verbal intelligence when they describe the same event. The work is based on a corpus containing descriptions …...

AbstractWe present a annotation scheme for modality in Portuguese. In our annotation scheme we have tried to combine a more theoretical linguistic viewpoint with a practical annotation scheme that will …...

Automatic error correction systems for English as a Second Language(ESL) speakers often rely on the use of a confusion set to limit the choices of possible correction candidates. Typically, the …...

AbstractIn face to face interaction, people refer to objects and events not only by means of speech but also by means of gesture. The present paper describes building a corpus …...

AbstractWhile it is possible to build a formal grammar manually from scratch or, going to another extreme, to derive it automatically from a treebank, the development of the LFG grammar …...

Online resources, such as Wiktionary, provide an accurate but incomplete source of idiomatic phrases. In this paper, we study the problem of automatically identifying idiomatic dictio- nary entries with such …...

Construction of a Free Large Part-of-Speech Annotated Corpus in French This paper studies the possibility of creating a new part-of-speech annotated corpus in French from an existing one. The objectives …...

s Pin-ning Tu Shih-Ping Wang National Taiwan University of Science and Technology, Taiwan/ #43, Sec. 4, Keelung Rd. Da’an Dist., Taipei 106, Taiwan (R.O.C.) National Taiwan University of Science and …...

Mining opinion targets is a fundamen- tal and important task for opinion min- ing from online reviews. To this end, there are usually two kinds of methods: syntax based and …...

This paper reports on a corpus-based quantitative study of the use of nominalizations across China English and British English in two comparable media corpora. In contrast to previous corpus-based studies …...

In this article, we describe a new approach to distributional semantics. This approach relies on a generative model of sentences with latent variables, which takes the syntax into account by …...

AbstractWe present an algorithm intended to visually represent the sense of verb related to an object described in a text sequence, as a movement in 3D space. We describe a …...

AbstractSemantic parsing is the task of translating natural language utterances into a machine-interpretable meaning representation. Most approaches to this task have been evaluated on a small number of existing corpora …...

With the rapid development of web-based services, concerns about user privacy have height- ened. The privacy policies of online websites, which serve as a legal agreement between service providers and …...

Genre classification has been found to improve performance in many applications of statistical NLP, including language modeling for spoken language, domain adaptation of statistical parsers, and machine translation. It has …...

AbstractThe NLP researcher or application-builder often wonders “what corpus should I use, or should I build one of my own? If I build one of my own, how will I …...

AbstractWe propose to use the visual denotations of linguistic expressions (i.e. the set of images they describe) to define novel denotational similarity metrics, which we show to be at least …...

For languages such as English, several constituent-to-dependency conversion schemes are pro- posed to construct corpora for dependency parsing. It is hard to determine which scheme is better because they reflect …...

We present a novel approach for rapidly developing a corpus with discourse annotations using crowdsourcing. Although discourse annotations typically require much time and cost owing to their complex nature, we …...

In this paper we present a readability assessment system for Basque, ErreXail, which is going to be the preprocessing module of a Text Simplification system. To that end we compile …...

This paper presents a wordlist-based lexical richness approach to testing distributional hypothesis for genre analysis in translation studies. In recent years, there has been continuing interest in patent translation. However, …...

Word sense induction is an unsupervised task to find and characterize different senses of polyse- mous words. This work investigates two unsupervised approaches that focus on using distribu- tional word …...

The paper discusses the architecture and de- velopment of an Argument Workbench, which is a interactive, integrated, modular tool set to extract, reconstruct, and visualise arguments. We consider a corpora …...

AbstractThis paper presents some preliminary results of the OPLON project. It aimed at identifying early linguistic symptoms of cognitive decline in the elderly. This pilot study was conducted on a …...

Given the limited success of medication in re- versing the effects of Alzheimer’s and other dementias, a lot of the neuroscience research has been focused on early detection, in order …...

AbstractText Complexity Analysis is an useful task in Education. For example, it can help teachers select appropriate texts for their students according to their educational level. This task requires the …...

AbstractExploring language usage through frequency analysis in large corpora is a defining feature in most recent work in corpus and computational linguistics. From a psycholinguistic perspective, however, the corpora used …...

AbstractAlthough more additional corpora are now available for Statistical Machine Translation (SMT), only the ones which belong to the same or similar domains of the original corpus can indeed enhance …...

AbstractMachine learning-based methods have obtained great progress on emotion classification. However, in most previous studies, the models are learned based on a single corpus which often suffers from insufficient labeled …...

Argumentation mining is considered as a key technology for future search engines and au- tomated decision making. In such applica- tions, argumentative text segments have to be mined from large …...

AbstractThis paper describes the use of a free, on-line language spelling and grammar checking aid as a vehicle for the collection of a significant (31 million words and rising) corpus …...

Solving simple arithmetic word problems is one of the challenges in Natural Lan- guage Understanding. This paper presents a novel method to learn to use formulas to solve simple arithmetic …...

AbstractThe present article reports on efforts to improve the translation accuracy of a corpus―based Machine Translation (MT) system. In order to achieve that, an error analysis performed on past translation …...

AbstractThe exchangeability assumption in topic models like Latent Dirichlet Allocation (LDA) often results in inferring inconsistent topics for the words of text spans like noun-phrases, which are usually expected to …...

AbstractWe present the first corpus of texts annotated with two alternative approaches to discourse structure, Rhetorical Structure Theory (Mann and Thompson, 1988) and Segmented Discourse Representation Theory (Asher and Lascarides, …...

Quotations are kernels not just of wisdom but also of beautiful and striking language. While recent studies have characterized the stylistic features of quotations, we characterize the or- der of …...

AbstractThe paper introduces SVALex, a lexical resource primarily aimed at learners and teachers of Swedish as a foreign and second language that describes the distribution of 15,681 words and expressions …...

AbstractRadiology reports express the results of a radiology study and contain information about anatomical entities, findings, measures and impressions of the medical doctor. The use of information extraction techniques can …...

AbstractRecent neural models have shown significant progress on the problem of generating short descriptive texts conditioned on a small number of database records. In this work, we suggest a slightly …...

AbstractThis paper presents a corpus and experiments to determine dimensions of interpersonal relationships. We define a set of dimensions heavily inspired by work in social science. We create a corpus …...

The object of this article is to describe the extraction of data from a corpus of academic texts in Spanish and the use of those data for developing a lexical …...

AbstractEffective textual communication depends on readers being proficient enough to comprehend texts, and texts being clear enough to be understood by the intended audience, in a reading task. When the …...

We present our work on annotating reflections, an essential counselor behavioral code in motivational interviewing for psychotherapy on conversations that are a combination of casual and therapeutic dialogue. We annotated …...

This paper discusses the development and application of a Constraint Grammar parser for the Plains Cree language. The focus of this parser is the identification of relationships between verbs and …...

We started to construct a database of synonymous expressions of Japanese “Verb + Verb” compounds semi-automatically. Japanese is known to be rich in compound verbs consisting of two verbs joined …...

The design of LitText follows the traditional research approach in digital humanities (DH): collecting texts for critical reading and underlining parts of interest. Texts, in multiple languages, are prepared with …...

AbstractThis paper presents a new corpus and a robust deep learning architecture for a task in reading comprehension, passage completion, on multiparty dialog. Given a dialog in text and a …...

A sampling survey of typology and component ratio analysis in Japanese puns revealed that the type of Japanese pun that had the largest proportion was a pun type with two …...

Multi-sense word embedding is an important extension of neural word embeddings. By leveraging context of each word instance, multi-prototype version of word embeddings were accomplished to represent the multi-senses. Unfortunately, …...

The three-dimensional visualization of spoken or written information in Sign Language (SL) is considered a potential tool for better inclusion of deaf or hard of hearing individuals with low literacy …...

Parts of Speech (POS) tagging is an important pre-requisite for various Natural Language Processing tasks. POS tagging is rather challenging for morphologically rich languages such as Tamil. Being low-resourced, Tamil …...

AbstractIn this paper, we present the challenge entailed by implementing a mobile version of a neural machine translation system, where the goal is to maximise translation quality while minimising model …...

AbstractThe literature frequently addresses the differences in receptive and productive vocabulary, but grammar is often left unacknowledged in second language acquisition studies. In this paper, we used two corpora to …...

This paper describes a method for distinguishing lexical layers in environmental corpora (i.e. the general lexicon, the transdisciplinary lexicon and two sets of lexical items related to the domain). More …...

In this paper, we present a new corpus for Chinese Named Entity Recognition (NER) from three domains : human-computer interaction, social media, and e-commerce. The annotation procedure is conducted in …...

The recognition of French Sign Language (LSF) as a natural language in 2005 created an important need for the development of tools to make information accessible to the deaf public. …...

AbstractWe present a framework for analyzing what the state in RNNs remembers from its input embeddings. We compute the gradients of the states with respect to the input embeddings and …...

AbstractExisting methods of hypernymy detection mainly rely on statistics over a big corpus, either mining some co-occurring patterns like “animals such as cats” or embedding words of interest into context-aware …...

Infant-directed speech is often seen as a predictor for infants' speech processing abilities, for instance speech segmentation or word learning. In this paper, we examine the syntactic distribution (position), accentuation …...

We present a taxonomy for classifying speech overlap in natural language dialogue. The scheme classifies overlap on the basis of several features, including onset point, local dialogue history, and management …...

AbstractIn this reproduction paper, we replicate and extend several past studies on transfer learning for entity recognition. In particular, we are interested in entity recognition problems where the class labels …...

AbstractThis study is an attempt to contribute to documentation and revitalization efforts of endangered Laz language, a member of South Caucasian language family mainly spoken on northeastern coastline of Turkey. …...

AbstractThe ability to produce high-quality publishable material is critical to academic success but many Post-Graduate students struggle to learn to do so. While recent years have seen an increase in …...

AbstractDocument-level event factuality identification is an important subtask in event factuality and is crucial for discourse understanding in Natural Language Processing (NLP). Previous studies mainly suffer from the scarcity of …...

AbstractPeer review is a core element of the scientific process, particularly in conference-centered fields such as ML and NLP. However, only few studies have evaluated its properties empirically. Aiming to …...

AbstractHow do we know if a particular medical treatment actually works? Ideally one would consult all available evidence from relevant clinical trials. Unfortunately, such results are primarily disseminated in natural …...

AbstractIn a corpus of data, outliers are either errors: mistakes in the data that are counterproductive, or are unique: informative samples that improve model robustness. Identifying outliers can lead to …...

AbstractIn this paper, we present a corpus for use in automatic readability assessment and automatic text simplification for German, the first of its kind for this language. The corpus is …...

AbstractMany researchers have tried to predict the accuracies of extrinsic evaluation by using intrinsic evaluation to evaluate word embedding. The relationship between intrinsic and extrinsic evaluation, however, has only been …...

AbstractObituaries contain information about people’s values across times and cultures, which makes them a useful resource for exploring cultural history. They are typically structured similarly, with sections corresponding to Personal …...

AbstractIn this paper, we present a modified version of the CBOW algorithm implemented in the fastText framework. Our modified algorithm, CBOW-tag builds a vector space model that includes the representation …...

AbstractIn this paper, we introduce a multimodal dataset in which subjects are instructing each other how to assemble IKEA furniture. Using the concept of ‘Chinese Whispers’, an old children’s game, …...

AbstractGestures are an important component of non–verbal communication. This has an increasing potential in human–computer interaction. For example, Navarretta (2017b) uses sequences of speech and pauses together with co–speech gestures …...

AbstractResolving Indirect Speech Acts (ISAs), in which the intended meaning of an utterance is not identical to its literal meaning, is essential to enabling the participation of intelligent systems in …...

AbstractUnderstanding discourse structures of news articles is vital to effectively contextualize the occurrence of a news event. To enable computational modeling of news structures, we apply an existing theory of …...

AbstractPatient adherence is a critical factor in health outcomes. We present a framework to extract adherence information from electronic health records, including both sentence-level information indicating general adherence information (full, …...

AbstractWe introduce the GM-RKB WikiText Error Correction Task for the automatic detection and correction of typographical errors in WikiText annotated pages. The included corpus is based on a snapshot of …...

AbstractEffective dialogue involves grounding, the process of establishing mutual knowledge that is essential for communication between people. Modern dialogue systems are not explicitly trained to build common ground, and therefore …...

AbstractDue to the fast pace at which research reports in behaviour change are published, researchers, consultants and policymakers would benefit from more automatic ways to process these reports. Automatic extraction …...

AbstractWhile hyperbole is one of the most prevalent rhetorical devices, it is arguably one of the least studied devices in the figurative language processing community. We contribute to the study …...

AbstractSeveral quality dimensions of natural language arguments have been investigated. Some are likely to be reflected in linguistic features (e.g., an argument’s arrangement), whereas others depend on context (e.g., relevance) …...

This paper aims to investigate the variation between two Chinese causative auxiliaries shi ‘使’ and rang ‘讓’ from a corpus-based perspective. We conduct a logistic regression analysis to the Chinese …...

AbstractChildren have less linguistic skills than adults, which makes it more difficult for them to understand some texts, for instance when browsing the Internet. In this context, we present a …...

AbstractThe research presented in this paper concerns zero copulas in Hungarian, i.e. the phenomenon that nominal predicates lack an explicit verbal copula in the default present tense 3rd person indicative …...

AbstractWe propose a multi task learning-based neural model for resolving bridging references tackling two key challenges. The first challenge is the lack of large corpora annotated with bridging references. To …...

AbstractWe present Odinson, a rule-based information extraction framework, which couples a simple yet powerful pattern language that can operate over multiple representations of text, with a runtime system that operates …...

The prevalence of the web has brought about the construction of many large-scale, automatically segmented and tagged corpora, which inevitably introduces errors due to automation and are likely to have …...

AbstractA large body of research on gender-linked language has established foundations regarding cross-gender differences in lexical, emotional, and topical preferences, along with their sociological underpinnings. We compile a novel, large …...

AbstractWe collected a corpus of dialogues in a Wizard of Oz (WOz) setting in the Internet of Things (IoT) domain. We asked users participating in these dialogues to rate the …...

AbstractAnalyzing the geographic movement of humans, animals, and other phenomena is a growing field of research. This research has benefited urban planning, logistics, animal migration understanding, and much more. Typically, …...

AbstractA clause complex consists of clauses, which are connected by component sharing relations and logic-semantic relations. Hence, clause-complex level structural transformations in translation are concerned with the expression adjustment of …...

AbstractThe pre-training of text encoders normally processes text as a sequence of tokens corresponding to small text units, such as word pieces in English and characters in Chinese. It omits …...

AbstractWe take up the task of large-scale evaluation of neural machine transliteration between English and Indic languages, with a focus on multilingual transliteration to utilize orthographic similarity between Indian languages. …...

AbstractPsychometric measures of ability, attitudes, perceptions, and beliefs are crucial for understanding user behavior in various contexts including health, security, e-commerce, and finance. Traditionally, psychometric dimensions have been measured and …...

AbstractOffensive language detection and analysis has become a major area of research in Natural Language Processing. The freedom of participation in social media has exposed online users to posts designed …...

AbstractWe consider the problem of learning to simplify medical texts. This is important because most reliable, up-to-date information in biomedicine is dense with jargon and thus practically inaccessible to the …...

AbstractSifting French Tweets to Investigate the Impact of Covid-19 in Triggering Intense Anxiety. Social media can be leveraged to understand public sentiment and feelings in real-time, and target public health …...

AbstractNamed entity recognition has become an increasingly useful tool for digital humanities research, specially when it comes to historical texts. However, historical texts pose a wide range of challenges to …...

AbstractThis paper presents a corpus of AZee discourse expressions, i.e. expressions which formally describe Sign Language utterances of any length using the AZee approach and language. The construction of this …...

AbstractThis paper describes data resources created for Phase 1 of the DARPA Active Interpretation of Disparate Alternatives (AIDA) program, which aims to develop language technology that can help humans manage …...

AbstractScientific literature serves as a high-quality corpus, supporting a lot of Natural Language Processing (NLP) research. However, existing datasets are centered around the English language, which restricts the development of …...

AbstractThis article studies the application of the #BenderRule in Natural Language Processing (NLP) articles according to two dimensions. Firstly, in a contrastive manner, by considering two major international conferences, LREC …...

AbstractWe introduce the project “MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages”, funded by the Connecting Europe Facility, which is aimed at building monolingual …...

AbstractOntoLex-Lemon has become a de facto standard for lexical resources in the web of data. This paper provides the first overall description of the emerging OntoLex module for Frequency, Attestations, …...

AbstractModeling thematic fit (a verb-argument compositional semantics task) currently requires a very large burden of labeled data. We take a linguistically machine-annotated large corpus and replace corpus layers with output …...

AbstractIn this paper, we define the task of gender rewriting in contexts involving two users (I and/or You) – first and second grammatical persons with independent grammatical gender preferences. We …...

AbstractOver a decade, the research field of computational linguistics has witnessed the growth of corpora and models for natural language inference (NLI) for rich-resource languages such as English and Chinese. …...

AbstractThe most prominent tasks in emotion analysis are to assign emotions to texts and to understand how emotions manifest in language. An important observation for natural language processing is that …...

AbstractUnsupervised anomaly detection seeks to identify deviant data samples in a dataset without using labels and constitutes a challenging task, particularly when the majority class is heterogeneous. This paper addresses …...