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Grammatical error correction (GEC) refers to the task of automatically detecting and correcting grammatical, spelling, and word choice errors in written text. As newer approaches are being developed for this task, it becomes essential to have reliable means to compare them. In the related field of machine translation (... | 0 |
The Oxford dictionary has defined humour as the quality of being amusing or comic, especially as expressed in literature or speech. It is an essential element of human interactions. The understanding and sense of humour varies widely across time, space and people. The same properties which make it interesting and compe... | 0 |
Sentence similarity computation plays an important role in text summarization, classification, question answering and social network applications (Lin and Pantel, 2001; Erkan and Radev, 2004; Ko et al., 2004; Ou et al., 2011) . The SemEval 2012 competition includes a task targeted at Semantic Textual Similarity (STS) b... | 0 |
Idiomaticity is considered the defining feature of the concept of multiword expressions (MWE). It is described as a non-discrete magnitude, whose "value" depends on a combination of features like institutionalization, non-compositionality and lexicosyntactic fixedness (Granger and Paquot, 2008) .Idiomaticity appears as... | 0 |
The goal of the ALTA 2016 Shared Task was to disambiguate two person or organisation entities . The real-world motivation for the Task includes gathering information about potential clients, and law enforcement.We designed a Pairwise FastText Classifier (PFC) to disambiguate the entities . The major source of inspirati... | 0 |
Online social networks such as microblogs have drawn growing attention in recent years, and more and more researchers are involved in microblogging websites. Besides expressing their own emotions and exchanging their life experiences just like other users, these researchers also write from time to time about their late... | 0 |
The increase in availability of online argumentation platforms has provided opportunity for researchers to develop computational methods at a larger scale studying the important factors of persuasiveness such as the language use (Hidey et al., 2017; Zhang et al., 2016) , characteristics of audience (i.e. prior beliefs,... | 0 |
Translation is part of our world, and Sign Languages (SL) should be no exception. As far as France is concerned, the Law for Equal Rights and Opportunities, Participation and Citizenship of Persons with Disabilities published in 2005 recognizes French Sign Language (LSF) as a fullypledged language, and as a « language ... | 0 |
Que ce soit pour l'évaluation ou l'apprentissage d'un système de désambiguïsation lexicale (DL), les corpus annotés en sens sont essentiels. En effet, les systèmes de DL exploitant les exemples issus de corpus annotés en sens sont généralement bien meilleurs que ceux qui n'en exploitent pas (Navigli et al., 2007; Moro ... | 0 |
The hypernymy relation acquisition task is a widely studied problem, especially because taxonomies, which often constitute the backbone structure of semantic resources like ontologies, are structured using this type of relations. Although this task has been addressed in literature, most of the publications report analy... | 0 |
Multiword expressions (MWEs) comprise a wide range of diverse, arbitrary and yet linguistically related phenomena that share the characteristic of crossing word boundaries (Sag et al., 2002) . MWEs are computationally challenging because the exact interpretation of an MWE is not directly obtained from its component par... | 0 |
Since the first attempt to statisical machine translation (SMT) [1], the approach has drawn much interest in the research community and huge improvements in translation quality have been achieved. Still, there are plenty of problems in SMT which should be addressed. One is that the translation decision depends on a qui... | 0 |
Syntactic parsing has made tremendous progress in the past 2 decades (Magerman, 1994; Ratnaparkhi, 1997; Collins, 1997; Charniak, 2000; Klein and Manning, 2003; Carreras et al., 2008) , and accurate syntactic parsing is often assumed when developing other natural language applications. On the other hand, there are plen... | 0 |
With the rapid development of Massive Open Online Courses (MOOCs), more and more learners participate in MOOCs (Anderson et al., 2014) . Due to the lack of effective management, most of the discussion forums within MOOCs are overloaded and in chaos (Huang et al., 2014) . Therefore, a key problem is how to manage the fo... | 0 |
Understanding natural language interactions in realistic settings requires models that can deal with noisy textual inputs, reason about the dependencies between different textual elements, and leverage the dependencies between textual content and the context from which it emerges. Work in linguistics and anthropology h... | 0 |
Temporal information encoded in textual descriptions of events has been of interest since the early days of natural language processing. Lately, it has seen renewed interest as Question Answering, Information Extraction and Summarization domains find it critical in order to proceed beyond surface understanding. With th... | 0 |
Text classification is a fundamental research topic in natural language processing (Pang et al., 2002; Lai et al., 2015; Neekhara et al., 2019; . Neural networks have obtained state-of-theart performance on many text classification datasets (Kim, 2014; Wang et al., 2018; Devlin et al., 2019) . Despite these models' suc... | 0 |
We focus on the problem of semantic parsing natural language utterances into logical forms that can be executed to produce denotations. Traditional semantic parsers (Zelle and Mooney, 1996; Zettlemoyer and Collins, 2005; Wong and Mooney, 2007; Kwiatkowski et al., 2010 ) have two limitations: (i) they require annotated ... | 0 |
An electronic grammar is an interface between the complexity and the diversity of natural language and the regularity and the effectiveness of a language processing, and it is one of the most important elements in the natural language processing. Since traditional manual grammar development is a time-consuming and labo... | 0 |
Investigating drug adverse effects, disease progression, and clinical outcomes is inconceivable without forming some representation of the temporal structure of electronic health records. Temporal relation extraction has emerged as the most viable route to building timelines that tie each medical event to the time of i... | 0 |
The quality of a search engine is not only determined by its document ranking function, but also by the way the search results presented to the user (Turpin et al., 2009) . In particular, good snippets can help the user select relevant documents to click on. Snippets can be considered as a type of extractive summary of... | 0 |
Word embeddings are used in many natural language processing tasks (Collobert et al., 2011; Kim, 2014) . In word embedding models, words are mapped or "embedded" into low-dimensional real-valued vectors. Such mapping is based, implicitly or explicitly, on word co-occurrence statistics (Levy and Goldberg, 2014b) .Natura... | 0 |
R ecently, m edical m alpractice has becom e a serious social problem (Kohn, C orrlgan and D onaldson, 1999) . T he Japanese M inistry of H ealth, L abor and Welfare has reported that nursing team s are m ost frequently involved in m edical accidents in hospitals(H ealthcare S afety P rom otion N etw ork P roject, 2001... | 0 |
Les études que nous menons sur la levée d'ambiguïtés de r attachement prépositionnel s'inscrivent dans le cadre de la réalisation d'un analyseur syntaxique de corpus à base endogène (SYNTEX, Bourigault, Fabre, 2000 , Fabre, Bourigault, 2001 . Elles visent à tester si l'introduction de ressources lexico -syntaxiques gén... | 0 |
Automatic essay scoring (AES) is the task of assigning grades to essays written in an educational setting, using a computer-based system with natural language processing capabilities. The aim of designing such systems is to reduce the involvement of human graders as far as possible. AES is a challenging task as it reli... | 0 |
Named entity recognition (NER) is a task of extracting and classifying information units like persons, locations, time, dates, organization names, etc (e.g., Nadeau and Sekine (2007) ). In general, the task involves labeling (proper) nouns with suitable named entity tags. NER is a very important pre-processing task in ... | 0 |
Coreference resolution is one of the fundamental sub-tasks for Machine Reading Comprehension and Dialogue Systems that groups mentions of a same entity in a given sentence or document (Soon et al., 2001; Raghunathan et al., 2010; Ng, 2010; Lee et al., 2013) . Recently, for English coreference resolution, span-based end... | 0 |
During middle ages and before, the discipline of rhetoric composed -along with grammar and logic -a basic component of so-called trivium. Being considered by Platon as the "one single art that governs all speaking" (Plato, trans. 1986 ) in order to be subsequently defined by Aristotle as "the faculty of observing in an... | 0 |
Text categorization is a classical text information processing task which has been studied adequately (Sebastiani, 2002) . A typical text categorization process usually involves these phases: document indexing, dimensionality reduction, classifier learning, classification and evaluation. The vector space model is frequ... | 0 |
Neural network methods have shown great promise in the field of parsing and other related natural language processing tasks, exploiting more complex features with distributed representation and non-linear neural network (Wang et al., 2013; Wang et al., 2014; Cai and Zhao, 2016; Wang et al., 2016) . In transition-based ... | 0 |
Virtual communications are playing an increasingly crucial role in our daily activities. In this profound revolution in interpersonal communications, social media has become the key channel to connect an individual with human society. People are now turning to the online world to exchange viewpoints, voice opinions, an... | 0 |
Dense real-valued vector representations of words or word embeddings (WEs) have recently gained increasing popularity in natural language processing (NLP), serving as invaluable features in a broadFigure 1: A toy example of a 3-dimensional monolingual vs shared bilingual word embedding space (further SBWES) from Gouws ... | 0 |
Multi-choice question answering systems return the correct answer from four candidates to natural language questions. In recent years, a typical method is to model Question-Answer pairs and classify them (Severyn et al., 2016) .The nature of this way is to transform QA problem to classification problem. Some people tac... | 0 |
En traitement automatique du langage (TAL), la plupart des recherches sur les pronoms se sont focalisées sur la résolution des anaphores. Dans ce domaine, de très nombreux travaux traitent d'algorithmes capables de détecter des chaînes anaphoriques inter-et intra-phrastiques, de leur implémentation et de leur évaluatio... | 0 |
In second-language writing, vestiges of the native language such as pronunciation, vocabulary and grammar are well-attested, and the phenomenon is called native language interference (Odlin, 1989) . At the lexical level, the choice as well as the spelling can be indicative of the native language, through the choice of ... | 0 |
The representation of knowledge is one of the great dreams of Artificial Intelligence. Acquiring and encoding knowledge is essential not only to improve historical NLP tasks such as Word Sense Disambiguation and Machine Translation, but also to enable numerous applications (Hovy et al., 2013) like intelligent personal ... | 0 |
The aim of the Social Media Mining for Health Applications (#SMM4H) shared tasks is to take a community-driven approach to addressing natural language processing (NLP) challenges of utilizing social media data for health informatics, including informal, colloquial expressions of clinical concepts, noise, data sparsity,... | 0 |
The NLP4IF shared task for 2019 consists of 451 newspaper articles from 48 news outlets that have been tagged for characteristics of 18 propaganda techniques . The 18 propaganda techniques range from loaded language, name calling/labelling, repetition, to logical fallacies such as oversimplification, red herring, etc. ... | 0 |
The development of large scale symbolic grammars has long been a lively topic in the French NLP community. Surprisingly, the acquisition of probabilistic grammars aiming at stochastic parsing, using either supervised or unsupervised methods, has not attracted much attention despite the availability of large manually sy... | 0 |
Identification of the right sense of a word in a sentence is crucial to any successful Natural Language Processing system. The same word can have different meanings in different contexts. The task of Word Sense Disambiguation is to determine the correct sense of a word in a given context.In most cases the correct word ... | 0 |
Natural language generation (NLG), the task of generating natural language from a knowledge base or a logical form representation, is an important component of dialogue or question answering system. NLG can be treated as a single-turn dialogue generation. Traditional approaches to NLG problem are mostly rule-based or t... | 0 |
Les ressources lexicales constituent une partie essentielle de tout système de traitement automatique des langues. Comme la construction manuelle de telles ressources est fastidieuse et gourmande en temps, l'induction automatique de ressources lexicales est une alternative particulièrement attractive. Dans cet article,... | 0 |
Understanding texts in natural language requires that both explicit text components as well as implicit references and relationships are interpreted correctly. This applies in particular to instructional texts, which demand a clear understanding of individual instruction steps in order to reach the desired goal. Possib... | 0 |
Generating or modifying graphs based on natural language texts is a versatile technique that has applications in different subfields of Natural Language Processing (NLP) such as dependency parsing (Manning and Schütze, 2001) or semantic parsing (Oepen et al., 2019 (Oepen et al., , 2020 . However, while these tasks can ... | 0 |
Incremental Speech Recognition (ISR) enables a spoken dialogue system (SDS) to react quicker than when using conventional speech recognition approaches. Where conventional methods only return a result after some indication of user completion (for example, a short period of silence), ISR returns partial phrase results w... | 0 |
Over the last decade, English has been one of the most dominant languages on the internet. However, the number of non-English websites is rapidly increasing. From 2001-to 11, online use of English increased at a slower rate than that of Spanish, Chinese, etc. Approximately 4 billion people connect to the internet every... | 0 |
Recently, several works have shown that factual information can be extracted from large scale language models trained on vast quantities of data (Radford et al., 2019; Petroni et al., 2019; Jiang et al., 2019; Talmor et al., 2019) . Building on that observation and the advances in pretraining of natural language proces... | 0 |
Recent advances in machine learning especially with deep neural networks has lead to tremendous progress in natural language processing and dialogue modeling research (Sutskever et al., 2014; Vinyals and Le, 2015; Serban et al., 2016) . Nevertheless, developing a good conversation model capable of fluent interaction be... | 0 |
Intent detection, a sub-field of text classification, involves classifying user-generated short-texts into intent classes, usually for conversational agents applications (Casanueva et al., 2020) . Since conversational agent applications are domain-specific, intent detection is a challenging task because of labeled data... | 0 |
More and more people are building dialogue systems. Architecturally, these systems tend to fall into two camps: those with pipelined architectures (e.g., (Lamel et al., 1998; Nakano et al., 1999) ), and those with agent-based architectures (e.g., (Seneff et al., 1999; Stent et al., 1999; Rudnicky et al., 1999) ). Agent... | 0 |
Neural network-based models have achieved great successes in a wide range of NLP tasks. However, recent work has shown that their performance can be easily undermined with adversarial examples that would pose no confusion for humans . As an increasing number of successful adversarial attackers have been developed for N... | 0 |
Although theories relating intonational patterns with discourse phenomena have been proposed (Pierrehumbert and Hirschberg, 1990) , existing TTS systems, and even CTS systems, often fail to exploit them. The most advanced intonation systems (Hirschberg, 1990; Hirschberg, 1993) have relied on elements of discourse conte... | 0 |
There has been much debate concerning the appropriate level of language processing at which to treat VP-ellipsis resolution. Syntactic accounts (Fiengo and May, 1990; Hgik, 1987; Hellan, 1988; Hestvik, 1993; Lappin, 1993; Lappin and McCord, 1990) claim that syntactic material is copied from the antecedent clause and re... | 0 |
When presented with a large amount of data in tabular form, an additional textual summary could aid a reader's comprehension of the otherwise overwhelming information at hand. The task of automatically creating a summary from numerical data is an ongoing research area within Natural Language Generation (NLG). We explor... | 0 |
Recent progress in abstractive summarization has been fueled by the advent of large-scale Transformers pre-trained on autoregressive language modeling objectives (Hoang et al., 2019; Zhang et al., 2020) . Despite their strong performance on automatic metrics like ROUGE (Lin, 2004) , abstractive models are not as straig... | 0 |
Online reviews on products and services are extensively used by consumers and businesses for conducting decisive purchase, making product design and altering marketing strategies. As a result, deceptive opinion spam (e.g. deceptive reviews) arouses increasing attention (Streitfeld, 2012) . Opinion spam is a type of rev... | 0 |
Masked Language Models (MLMs) (Devlin et al., 2019) , which are pre-trained on large corpora, have been used successfully in natural language processing tasks for various languages (Conneau and Lample, 2019; Martin et al., 2020; Conneau et al., 2020) . Unfortunately, it has been reported that MLMs also learn social bia... | 0 |
The automatic summarization techniques have been required due to increasing the amount of electronic documents. The object documents handled by automatic summarization are diverse from newspaper and academic articles to the documents used in social network services such as Weblog, Twitter, etc. Depending on object docu... | 0 |
Text style transfer is to transform an input text of a source style to a target style (i.e., style conversion goal) without loss of its style-independent information (i.e., content preservation goal). Concentrating on different stylistic attributes, text style transfer has attracted much attention from various natural ... | 0 |
Relation extraction with distant supervision associates a pair of entities with a bag of sentences, each containing mentions of both entities. The bag is tagged with relations between the pair in a Knowledge Base (KB), without explicitly indicating which sentence(s) support the relation(s). This method avoids the burde... | 0 |
Antonymy is a relationship between two words that express contrasting or opposite meanings (e.g., "agree-disagree"). Capturing antonymy is directly helpful for downstream applications such as sentiment transfer (Li et al., 2018) and claim generation (Hidey and McKeown, 2019) . Further, semantically contrasting expressi... | 0 |
This paper describes a word alignment system developed as a part of shared task on word alignment for languages with scarce resources at the ACL 2005 workshop on "building and using parallel texts: data driven machine translation and beyond". Participants in the shared task were provided with common sets of training da... | 0 |
The introduction of the prototype theory by E. Rosch (1973) , one of the most influential theories describing concept organisation at cognitive level, completely changed the perspective in semantics and nowadays most of the studies in computational semantics consider concepts membership and concepts similarity as grade... | 0 |
Relation extraction is to find various predefined semantic relations between pairs of entities in text. The research in relation extraction has been promoted by the Message Understanding Conferences (MUCs) (MUC, 1987 (MUC, -1998 and the NIST Automatic Content Extraction (ACE) program (ACE, 2002 (ACE, -2005 . According ... | 0 |
As of early November 2020, the total number of COVID-19 cases worldwide has surpassed 50M. 1 The world is once again hit by a new wave of COVID-19 infection with record-breaking numbers of new cases reported everyday. Along with the outbreak of the pandemic, information about the COVID-19 is aggregated rapidly through ... | 0 |
The study of the structure and phonology of given names and how they associate with gender and ethnicity is a topic that has been investigated over the last several decades (Cassidy et al., 1999) . Such research generally aims to identify discriminative features that are predictive of gender and how they can be applied... | 0 |
Language understanding (LU) is the initial and essential component in the task-oriented dialogue system pipeline (Young et al., 2013) . One challenge in building robust LU is to handle myriad ways in which users express demands. This challenge becomes more serious when switching to a new domain whose large-scale labele... | 0 |
Paraphrase generation (McKeown, 1983 ) is a longlasting task in natural language processing (NLP) and has been greatly improved by recently developed machine learning approaches and large data collections. Paraphrase generation demonstrates the potential of machines in semantic abstraction and sentence reorganization a... | 0 |
Our goal in this study of sense prediction is to generate solutions for lexical ambiguity in general. In particular, we will look at words without lexically-assigned senses and try to predict the range of senses each word form may have. Since lexical information of senses of these words is not available, we propose to ... | 0 |
Event detection aims to extract event triggers (most often a single verb or noun) and classify them into specific types precisely. It is a crucial and quite challenging sub-task of event extraction, because the same event might appear in the form of various trigger expressions and an expression might represent differen... | 0 |
The UMLS (Bodenreider, 2004 ) is a biomedical terminology integration system that includes over 200 source vocabularies 1 . The UMLS Metathesaurus construction process organizes synonymous terms from these source vocabularies into concepts. The current Metathesaurus construction process uses a lexical similarity model ... | 0 |
Lexicalized phrase structure parsing techniques were first introduced by Charniak (2000) and Collins (2003) as generative probabilistic models. Nowadays most statistical models used in natural language processing are discriminative: discriminative models provide more flexibility for modelling a large number of variable... | 0 |
In recent years, considerable attention has been paid to deep semantic processing. Many studies, including Bethard et al. (2008) , Inui et al. (2007) , Inui et al. (2003) , and Riaz and Girju (2013) , have recently been conducted on deep semantic processing, and causal relation extraction (hereinafter, CRE) is one of t... | 0 |
We report on experiments carried out for the development of automatic speech recognition (ASR), machine translation (MT) and spoken language translation (SLT) systems on the datasets of the International Workshop on Spoken Language Translation (IWSLT) 2012. Details about the evaluation campaign and the different evalua... | 0 |
In reviewing software for term banks, a number of different viewpoints could be adopted; that of a system designer, responsible for producing and maintaining software, that of a service provider, or that of a user of the system, for example. Each of these groups will be more interested in different aspects, and in a sh... | 0 |
One of the ultimate goals in the field of natural language processing (NLP) is to enable computers to converse with humans through human languages. To achieve this goal, two important issues need to be studied. First, it is important for computers to capture the meaning of a natural language sentence in a meaning repre... | 0 |
In the last decade textual entailment has been a very active topic in Computational Linguistics, providing a unifying framework for textual inference. Several evaluation exercises have been organized around Recognizing Textual Entailment (RTE) challenges and many methodologies, algorithms and knowledge resources have b... | 0 |
In applications such as Machine Translation (MT) and Dialogue Systems, sentence realisation is a major step. Sentence realisation involves generating a well-formed sentence from a bag of lexical items. These lexical items may be syntactically related to each other. The level of syntactic information attached to the lex... | 0 |
There are two tracks of the task of language Inflection Generation: Typologically Diverse Morphological (Re-)Inflection and (Automatic) Morphological Acquisition Trajectories. We only participate in the first track, Typologically Diverse Morphological (Re-)Inflection.Here, the main goal is to predict inflected forms of... | 0 |
Over the years, there have been many published papers on machine translation (MT), proposing novel ideas by showing improvements over certain baselines. However, a paper often has a different experimental setup from the others. These variations include the approach (algorithm) and dataset. Ideally, research and develop... | 0 |
The modern Chinese language is a highly abbreviated one due to the mixed use of ancient singlecharacter words with modern multi-character words and compound words. According to Chang and Lai (2004) , approximately 20% of sentences in a typical news article have abbreviated words in them. Abbreviations have become even ... | 0 |
Assessing the quality of machine translation (MT) systems is always crucial to promote MT research (Marie et al., 2021) . Since it is costly and time-consuming for human graders to evaluate machine translation (MT) systems, designing automatic metrics for MT has drawn booming attention during the past decades, and many... | 0 |
Ad hominems attack an opponent's character or identity instead of the points the opponent is making, and can exist in any conversational setting between two or more entities. From an argumentation perspective, ad hominems are fallacies, and fallacies rely on faulty reasoning to advance a point (Hansen, 2020) . These ad... | 0 |
Adaptive functionality in spoken dialogue systems is usually geared towards dealing with communication disfluencies and facilitating more natural interaction (e.g. Danieli and Gerbino, 1995; Litman and Pan, 1999; Krahmer et al, 1999; Walker et al, 2000) . In the AthosMail system (Turunen et al., 2004) , the focus has b... | 0 |
Organizations that are governed by legal and regulatory statues concerning communications with the public are required to comply with principles-based content standards. As such, this involves a significant expense due to having to use highly qualified staff to review, iterate on communications internally and file cont... | 0 |
Morphological parsers and analysers for Arabic are required to dissect an input word and analyse its components in order to perform even the simplest of language processing tasks. The letters of the majority of Arabic words undergo transformations rendering their roots unrecognisable. Without the root, it is difficult ... | 0 |
Pour de nombreuses tâches de TAL, des textes annotées sont capitaux mais demeurent trop peu nombreux, ou ont une licence restrictive. Il existe déjà de nombreux outils pour annoter des textes bruts, parmi lesquels nous pouvons citer GATE (Cunningham et al., 2013) ou BRAT (Stenetorp et al., 2012) . Ces outils ont cepend... | 0 |
Discourse analysis is helpful for the performance of machine translation, question answering, summarization and other application. EDU recognition is a basic work in discourse analysis task. Only by recognition EDU, can we make further discourse analysis or other works. At present, the existing Chinese-English parallel... | 0 |
Whenever one says that issues become clear, stock markets go up, or time is spent, language is arguably being used in a non-literal, metaphorical manner, at least with respect to the original senses of the words. Corpus studies have found that metaphorical phenomena are very pervasive even in formal language (Steen et ... | 0 |
The assessment of speech production abilities in motor speech disorders relies almost exclusively on subjective tests such as intelligibility tests. These tests have two main disadvantages. They are very time-consuming and often imply subjective judgments: speakers read lists of words or sentences while one or several ... | 0 |
A major issue in MT applications is the translation of named entities and technical terms. This is especially true for Chinese and Japanese, whose scripts present linguistic and algorithmic challenges not found in other languages. Some factors that contribute to these difficulties include:1. The Japanese orthography is... | 0 |
End-to-end learning with neural networks has proven to be effective in parsing natural language (Kiperwasser and Goldberg, 2016) . Graph-based dependency parsers (McDonald et al., 2005) represent dependency scores between words as a matrix representing a weighted fully connected graph, from which a spanning tree algori... | 0 |
The English adjectives can be distinguished into attributive and predicative types. While the attributive adjectives occupy the prenominal position (e.g., a beautiful day), the predicative adjectives are postverbal (e.g. This is particularly important.). Biber, Johansson, Leech, Conrad, and Finegan (1999) compared the ... | 0 |
Prestigious scientific venues use peer reviewing to decide which papers to include in their journals or proceedings. While this process seems essential to scientific publication, it is often a subject of debate. Recognizing the important consequences of peer reviewing, several researchers studied various aspects of the... | 0 |
Distributed representations of words find applications in a broad range of tasks, from natural language parsing (Socher et al., 2013) to image captioning (Karpathy and Fei-Fei, 2015) . Their usefulness led to a renewed interest in word embedding algorithms. The most popular algorithms of this kind learn word vectors in... | 0 |
Multiword expressions (MWEs) have proven to be a serious challenge for NLP (Sag et al., 2002) . From various types of MWEs, those that involve verbs are of great significance as the verb is the syntactic center of the sentence. In this paper, we focus on one type of Czech verbal MWEs -on complex predicates with light v... | 0 |
Discourse connectives (alternatively labelled as cue phrases, discourse markers, discourse operators, etc.) are lexical anchors of coherence relations. Such relations (with semantic labels such as expansion, contingency, contrast, concession) can be signalled with discourse connectives, but languages vary in the way th... | 0 |
The genre of lyrics in music has been severely understudied from the perspective of computational linguistics despite being a form of language that has perhaps had the most impact across almost all human cultures. With the motivation of spurring further research in this genre, we apply stochastic transduction grammar i... | 0 |
Countability of English nouns is important in various natural language processing tasks. It is particularly important in machine translation from a source language that does not have an article system similar to that of English, such as Chinese and Japanese, into English since it determines the range of possible determ... | 0 |
A great deal of mass media outlets such as newspapers and magazines, or financial reports required by authorities such as the SEC 1 -mandated Form-10Q and Form-10K, play an important role in disseminating information to participants in financial markets. The spread of this information may quickly or slowly influence th... | 0 |
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